Top DeepKeep Alternatives

Kitecyber offers a cutting-edge, hyper-converged endpoint security solution that provides extensive protection while meeting the compliance requirements for several standards such as SOC2, ISO27001, HIPAA, PCI-DSS, and GDPR. This forward-thinking model, which is centered on endpoints, eliminates the need for cloud gateways or on-premises hardware, thereby simplifying security oversight. The hyper-converged platform includes several essential protective features: 1) A Secure Web Gateway to safeguard internet activity 2) Strategies to address the threats from Shadow SaaS and Shadow AI 3) Anti-Phishing measures to protect user credentials 4) A Zero Trust Private Access system functioning as an advanced VPN 5) Data Loss Prevention tools applicable across all devices—Mac, Windows, and mobile 6) Comprehensive Device Management that includes Mac, Windows, and mobile devices for all staff, encompassing BYOD and third-party contractors 7) Continuous Compliance Monitoring to maintain adherence to required regulations 8) User Behavior Analysis to detect and mitigate potential security vulnerabilities. By implementing these comprehensive strategies, Kitecyber not only enhances endpoint security but also simplifies compliance and risk management processes for organizations, ultimately promoting a more secure digital environment. Furthermore, this innovative approach helps companies to adapt to the evolving landscape of cybersecurity threats while maintaining operational efficiency.

F5 AI Guardrails is a comprehensive AI security and governance solution built to protect AI applications, large language models, autonomous agents, and the sensitive data they access. The platform delivers runtime security controls that help organizations manage the growing risks associated with AI deployments in production environments. It provides protection against adversarial threats such as prompt injection, jailbreak attacks, harmful content generation, unauthorized actions, and model manipulation attempts. Organizations can define and enforce security policies that govern how AI systems interact with users, applications, and enterprise data sources. Real-time inspection and distributed data protection capabilities help prevent sensitive information exposure, policy violations, and compliance breaches across AI ecosystems. The platform supports customizable guardrails that can be tailored to specific operational, regulatory, and business requirements. Automated compliance tools assist organizations in aligning AI operations with frameworks such as GDPR, HIPAA, and the European Union AI Act while maintaining detailed audit trails. Advanced observability features provide continuous visibility into AI interactions, allowing teams to investigate incidents, assess risks, and strengthen governance practices. Dynamic model routing and low-latency security enforcement ensure that protection measures do not negatively impact application performance. The solution is designed to work across a wide range of enterprise and open-source AI models, making it adaptable to evolving technology environments. By combining threat mitigation, data protection, compliance management, and operational visibility, F5 AI Guardrails enables organizations to deploy and scale AI systems with greater confidence and control.

Proofpoint AI Security is a comprehensive solution designed to support organizations in overseeing, monitoring, and protecting the implementation of AI technologies, such as large language models and autonomous agents. This platform provides visibility into both sanctioned and unsanctioned AI activities, enabling security teams to detect unauthorized AI tools, monitor prompts and responses, and evaluate AI interactions with confidential data in real-time. By leveraging intent-based detection and behavioral analysis, it efficiently identifies anomalies, prompt injection attempts, and potentially harmful interactions, while also enforcing operational policies to prevent data breaches and misuse. Additionally, it reconstructs detailed AI transactions from the user's initial query to the subsequent actions and outcomes generated by the agents, ensuring that organizations retain full traceability and are ready for audits. Its functionalities encompass endpoints, web browsers, and AI agent links, promoting stringent access governance that ensures AI systems only utilize and share necessary information. This comprehensive control not only strengthens the enterprise's security posture but also fosters a proactive approach as organizations adapt to the evolving landscape of AI system integration, creating a safer digital environment overall.

TrojAI is an enterprise AI security platform designed to help organizations safely develop, deploy, and scale AI applications, large language models, and autonomous AI agents. As AI systems become increasingly integrated into business processes, the platform provides specialized security capabilities that address risks unique to AI-driven environments. TrojAI helps organizations identify vulnerabilities during development through advanced testing, validation, and risk assessment processes that uncover weaknesses before deployment. The platform is designed to detect threats such as prompt injection attacks, jailbreak attempts, data leakage, sensitive information exposure, and malicious agent manipulation. Runtime protection capabilities continuously monitor AI interactions, agent actions, and system behavior to identify and prevent security incidents in real time. TrojAI Defend protects operational AI applications by enforcing security policies and detecting anomalous activity across enterprise environments. TrojAI Detect focuses on securing AI models during the build phase, helping organizations strengthen defenses before applications reach production. Compliance and governance features assist organizations in aligning AI deployments with industry-recognized standards and security frameworks. The platform supports deployment across multiple cloud providers, AI models, enterprise systems, and self-hosted environments, providing flexibility for diverse infrastructure requirements. Built for large-scale enterprise operations, TrojAI delivers scalability, customization, and performance while maintaining strong security oversight. By combining AI-specific threat detection, proactive risk assessment, compliance support, and continuous protection, TrojAI helps organizations confidently adopt and expand their AI initiatives.

Enkrypt AI is an advanced platform tailored for the security, compliance, and governance needs of enterprises in the artificial intelligence sector, with a particular emphasis on protecting large language models, AI agents, multimodal systems, and processes critical to machine operations. It serves various sectors, including finance, healthcare, insurance, and government, enabling organizations to rapidly innovate while prioritizing safety and maintaining their competitive advantages. This platform encompasses a wide range of AI security features, which include: Guardrails: With remarkably low latency of under 50 milliseconds, the policy-driven guardrails effectively reduce risks linked to prompt injections, unauthorized data leaks, dangerous outputs, and non-compliant behavior of agents in real-time situations. Red Teaming: The system executes policy-driven multimodal attack simulations on LLMs and AI agents before their deployment, effectively uncovering potential vulnerabilities. MCP Security: The MCP Scan Hub and Secure MCP Gateway provide thorough protection for MCP servers, tools, and agent toolchains throughout the entire process, ensuring robust security measures are in place. Compliance: Continuous monitoring guarantees compliance with various standards such as NIST AI RMF, OWASP LLM Top 10, the EU AI Act, HIPAA, and FINRA, alongside certifications like ISO 27001 and SOC 2 Type II. Enkrypt AI's recognition as a Gartner Cool Vendor for 2025 further highlights its distinctive position in the market, reinforcing its commitment to secure and compliant AI development.

Straiker is a cutting-edge security solution meticulously crafted to protect enterprise AI applications and autonomous agents, specifically targeting the new risks introduced by "agentic AI" systems that interact with a multitude of tools, APIs, and sensitive data. By providing extensive visibility and management across the complete AI stack, it scrutinizes behavioral signals from models, prompts, tools, identities, and infrastructure, enabling swift identification and mitigation of AI-specific risks such as prompt injection, privilege escalation, data exfiltration, and tool misuse. The platform seamlessly incorporates continuous discovery, adversarial testing, and runtime safeguarding through vital components like Discover AI, Ascend AI, and Defend AI, which collaborate to recognize all active agents, simulate possible attacks to uncover vulnerabilities, and enforce real-time protective measures during operation. Its complex, layered architecture captures deep contextual signals from user interactions, network behavior, and agent workflows, thereby ensuring a formidable defense against constantly evolving threats. As advancements in AI technologies progress at an unprecedented rate, the demand for such specialized security measures will only grow, making them essential for enterprises striving to thrive in this intricate environment. Ultimately, the proactive approach of platforms like Straiker is crucial in maintaining the integrity and safety of AI-driven operations.

LangProtect is an innovative security and governance solution crafted specifically for AI, providing strong defenses against challenges such as prompt injections, jailbreaks, data breaches, and the creation of unsafe or non-compliant outputs in LLM and Generative AI systems. Designed for advanced GenAI production environments, the platform applies real-time controls at the execution level, carefully analyzing prompts, model responses, and function calls as they happen, which allows teams to block high-risk actions before they can impact users or jeopardize sensitive data. In doing so, LangProtect promptly neutralizes potential threats, thereby safeguarding the integrity of both data and user interactions. Moreover, LangProtect's API-first architecture allows for effortless integration with existing LLM systems while ensuring low latency, and it supports a variety of deployment models, including cloud, hybrid, and on-premise configurations to satisfy the security and data residency needs of organizations. The platform is also adept at protecting modern architectures like RAG pipelines and agentic workflows, offering policy-driven enforcement, ongoing monitoring, and governance that are prepared for audits. This all-encompassing strategy empowers organizations to harness AI technologies confidently while significantly reducing the risks tied to their implementation. Ultimately, LangProtect stands out as a vital resource for businesses aiming to navigate the complexities of AI security effectively.

Onyx operates as a comprehensive AI management platform focused on discovering, safeguarding, governing, optimizing, and assessing AI agents and models utilized within a company. It offers vital insights for security, governance, and AI teams regarding both sanctioned and unsanctioned AI operations across diverse environments such as SaaS applications, cloud services, endpoints, and coding practices, covering elements like prompts, responses, and agent conduct. The inclusion of the AI Security feature strengthens the organization’s defense by identifying vulnerabilities and enforcing proactive protections against possible threats and misuse. In parallel, AI Governance guarantees adherence to security protocols and regulatory requirements by providing opt-in coverage and enabling policy regulations to be expressed in natural language. Additionally, AI Orchestration simplifies the deployment of agents and Multi-Cloud Platforms (MCPs), focusing on enhancing cost-effectiveness, precision, and speed. The AI ROI feature aids in quantifying usage, setting targets, and monitoring outcomes across various organizational sectors. Moreover, the Onyx Guardian Agent acts as a supervising AI, consistently detecting risks and addressing challenges throughout the platform, which allows organizations to manage a vast array of agents efficiently. Ultimately, Onyx equips businesses to leverage AI’s full capabilities while ensuring control and diligent oversight, fostering a secure and compliant AI ecosystem. This not only enhances operational efficiency but also encourages innovation within the organization.

Verax provides a robust and comprehensive platform dedicated to managing the risks and complexities associated with deploying large language models (LLMs) in production settings. The Verax Control Center serves as a unified hub offering real-time monitoring and automated correction of problematic LLM behaviors such as hallucinations, biased or off-topic responses, and potential data leakage. Verax Explore offers deep behavioral analytics that reveal user trends and model quality metrics, enabling organizations to continuously adapt and optimize their AI deployments. With Verax Protect launching soon, enterprises will gain enhanced safeguards against data leakage, maintaining compliance with strict regulatory standards and controlling access to personally identifiable information. The platform addresses the unique challenges faced by IT, data science, and innovation leaders, providing them with the tools needed to predict, detect, and fix LLM issues before they impact users. Verax acknowledges that without proper visibility, managing LLMs can feel like operating blindfolded, which their solutions are specifically designed to eliminate. By offering automatic detection and remediation, Verax reduces manual troubleshooting, helping teams break the frustrating cycle of fixing one issue only to encounter another. The company also invests in AI safety education through insightful blogs covering topics like hallucinations and AI trust, supporting informed adoption. Verax operates globally with offices in Tel Aviv and Texas, driving AI safety and responsible innovation across industries. Their platform ultimately empowers businesses to realize the full potential of LLMs while ensuring responsible and secure AI deployment.

GuardionAI functions as both an Agent and a MCP Security Gateway, providing all-encompassing security for AI agents and Model Context Protocol tools that engage with enterprise data. Strategically integrated within the execution path, it proficiently detects and redacts sensitive information, enforces protective measures, and grants improved visibility into activities often overlooked by traditional SIEM, DLP, and identity frameworks. Every action taken by agents is thoroughly monitored, enforced, and recorded at the protocol level, covering a wide array of components including AI agents, LLM applications, RAG systems, chatbots, coding assistants, MCP servers, internal applications, databases, operating systems, and cloud infrastructures. GuardionAI is specifically engineered to mitigate critical vulnerabilities in AI, such as prompt injection, system overrides, web-based attacks, MCP tool tampering, harmful code execution, inappropriate content exposure, leakage of personally identifiable information and credentials, unauthorized access to sensitive data, off-topic drift, and violations of access control, all in accordance with the OWASP LLM Top 10 and agentic AI threat frameworks. Furthermore, the gateway features a formidable four-layer protection system, ensuring that organizations can effectively secure their AI assets like never before. This comprehensive strategy not only bolsters security but also equips teams with the necessary insights to adeptly navigate the intricacies of modern AI landscapes, ultimately fostering a more robust defense against emerging threats. In an age where data integrity is paramount, GuardionAI stands as a critical partner in safeguarding enterprise resources.

XecGuard, a product of CyCraft, functions as a protective firewall tailored for reliable and autonomous AI, specifically designed to shield enterprise AI infrastructures from numerous threats, including prompt injection, data breaches, and hazardous outputs. Drawing on CyCraft's vast expertise in both offensive and defensive security operations across sectors such as government, finance, and advanced manufacturing, XecGuard amplifies security by merging AI guardrails with established cybersecurity measures, compliance frameworks, and risk management strategies, thereby promoting the secure integration of enterprise AI. This cutting-edge solution operates as a plug-and-play LoRA security module, enabling organizations to enhance their LLM defenses effortlessly without requiring alterations to the core model framework, which ensures swift deployment while preserving peak performance. By employing proprietary security datasets along with sophisticated multi-stage fine-tuning techniques, XecGuard markedly boosts the robustness of LLMs against adversarial threats, harmful interference, and unauthorized data extraction, establishing itself as a vital asset for any organization looking to strengthen its AI systems effectively. Additionally, its capacity to swiftly adapt to new and emerging threats further highlights its significance in the rapidly changing technological environment. This adaptability not only protects existing systems but also fosters greater confidence in the safe deployment of AI solutions.

Tines is a secure automation and AI platform that helps organizations give employees the ability to build workflows, applications, and agents without sacrificing enterprise governance. It provides a centralized environment where IT and security teams can see what users are creating, which services they connect to, and how AI is being used throughout the organization. The platform is intended to address the growing challenge of employees independently creating AI-powered tools with services that may otherwise fall outside corporate oversight. Teams can build automated processes and front-end applications for IT, cybersecurity, finance, HR, operations, and other departments. Security organizations can use Tines for AI-assisted SOC workflows that automate alert intake, investigation, triage, remediation, and analyst escalation. IT departments can govern MCP services, AI clients, system access, and deployments through managed workflows and gateway capabilities. Finance and operations teams can create dashboards and applications that combine information from email, business systems, and other connected tools. Tines provides monitoring, guardrails, governance, and administrative controls to help organizations safely manage these automations and AI-powered applications at scale. Its platform can identify potential workflow problems and suggest improvements while leaving decisions about production changes under administrator control. Because Tines is vendor-agnostic, organizations can integrate it across their existing infrastructure and select or change LLM providers based on their own requirements. Tines is positioned as a single secure environment for enterprise AI-native agents, applications, and automations that supports rapid building while maintaining strong operational and security oversight.

Trusys.ai functions as an all-encompassing AI assurance platform aimed at helping organizations evaluate, secure, monitor, and manage artificial intelligence systems throughout their entire lifecycle, encompassing everything from initial testing to extensive production deployment. The platform features a suite of tools, including TRU SCOUT, which automates security and compliance assessments in accordance with global standards while pinpointing possible adversarial vulnerabilities; TRU EVAL, which performs in-depth evaluations of various AI applications—spanning text, voice, image, and agent capabilities—with an emphasis on metrics such as accuracy, bias, and safety; and TRU PULSE, which provides real-time monitoring of production and issues alerts for concerns like drift, performance degradation, policy violations, and anomalies. By delivering thorough visibility and performance tracking, Trusys empowers teams to detect unreliable outputs, compliance gaps, and operational issues early on. Furthermore, Trusys supports model-agnostic evaluations through a user-friendly, no-code interface, integrating human-in-the-loop assessments alongside customizable scoring metrics, which harmoniously combines expert insights with automated evaluations. This fusion ultimately guarantees that organizations can uphold rigorous standards of performance and compliance for their AI systems, ensuring robust governance and risk mitigation throughout the process. With Trusys.ai, users can navigate the complexities of AI assurance with confidence and accuracy, fostering a proactive approach to AI management.

Prisma AIRS AI Runtime Security is a dedicated solution designed to protect applications, agents, models, and data that leverage LLM technology during their operational phases, ensuring real-time monitoring, validation, and governance throughout the entire AI lifecycle. This system persistently tracks AI behavior, deploying protective strategies that can detect and counteract threats frequently missed by traditional security tools, including prompt injection, harmful code, toxic outputs, data breaches, and unauthorized or unsafe actions. It enables organizations to identify all active AI assets, even those operating in the shadows, while offering insights into the dynamics among agents, applications, and models across diverse environments. By continually assessing risks through AI system testing, permission management, and real-time security monitoring, it integrates controls that thwart manipulation and exposure during runtime operations. Its adaptive defense mechanism allows for protection against both emerging threats and zero-day vulnerabilities, utilizing real-time analysis of inputs, outputs, and execution processes. Through this innovative approach, organizations can enhance their security posture, ensuring a robust AI framework while fostering trust and adherence to compliance standards in AI implementations. Moreover, the solution’s comprehensive capabilities enable organizations to stay one step ahead of potential vulnerabilities, reinforcing the integrity and safety of their AI systems.

Constellation Gate AI acts as a supplementary defense layer for AI agents, strategically placed between the agent and the model to scrutinize all requests for possible risks and data breaches. This innovative solution operates as an inline gateway for coding agents and model APIs, safeguarding workflows without requiring extensive code alterations. Users can seamlessly direct their existing tools such as Claude Code, Cursor, OpenClaw, Codex, or OpenCode to engage with Gate, thereby securing defenses against prompt injection, secret exposure, PII redaction, token optimization, and maintaining a trustworthy audit trail. The platform effectively tackles three significant vulnerabilities: prompt injection attacks, unauthorized access to credentials and PII, and illicit tool activations. Instead of relying solely on the model's built-in defenses, Gate proactively intercepts potential attacks before they reach the model, eliminates sensitive data from responses before they are returned, and blocks outputs from compromised tools before agents can utilize them. Gate remains compatible with the standard calls made by agents, forwarding them to the model while thoroughly analyzing each request and response in both directions, thereby providing robust protection against evolving threats. This forward-thinking strategy not only bolsters security but also cultivates user confidence in the reliability and safety of their AI operations, ultimately fostering a more secure environment for innovation.

Lasso is a comprehensive AI security platform created to help enterprises manage, govern, and secure AI applications and autonomous agents throughout their operational lifecycle. As organizations increasingly deploy generative AI and agentic technologies, the platform provides centralized oversight and protection for rapidly growing AI ecosystems. Lasso begins with AI discovery and inventory capabilities that identify AI agents, applications, models, prompts, tools, and security controls across the enterprise. Its AI Bill of Materials (AI-BOM) functionality helps organizations maintain a detailed understanding of their AI assets and dependencies. Automated AI security posture management capabilities assess configurations, identify weaknesses, and support ongoing governance efforts. The platform’s red teaming engine continuously evaluates AI systems against thousands of attack techniques and adversarial scenarios to uncover vulnerabilities before they impact production environments. Runtime enforcement features monitor AI interactions in real time, helping organizations enforce policies and prevent unsafe or unauthorized behavior. Intent-based security analysis enables Lasso to evaluate the purpose and context of AI actions rather than relying exclusively on static detection methods. AI detection and response capabilities provide security teams with actionable insights, investigation tools, and threat monitoring across AI environments. Designed for enterprise deployment, the platform emphasizes scalability, accuracy, cost efficiency, and rapid response to evolving AI risks. By integrating discovery, governance, testing, monitoring, and protection into a unified platform, Lasso helps organizations accelerate AI adoption while maintaining security, compliance, and operational confidence.

Superagent is an open-source platform dedicated to enhancing AI safety and agent development, aimed at aiding developers and organizations in the creation, deployment, and protection of AI-driven applications and assistants by embedding crucial safety protocols, runtime security measures, and compliance regulations within their agent workflows. It provides specialized models and APIs, including Guard, Verify, and Redact, which are effective in thwarting prompt injections, preventing malicious tool usage, stopping data leaks, and ensuring safe outputs in real-time; additionally, red-teaming assessments scrutinize production systems for potential vulnerabilities and offer practical strategies for remediation. By facilitating seamless integration with existing AI systems at both inference and tool-call levels, Superagent can meticulously filter inputs and outputs, remove sensitive information such as personally identifiable information (PII) and protected health information (PHI), enforce policy rules, and thwart unauthorized actions before they can occur. The platform further bolsters security and engineering processes by delivering extensive observability, live trace logs, comprehensive policy controls, and thorough audit trails, which empower teams to sustain rigorous oversight of their AI systems consistently. Ultimately, Superagent equips organizations to adeptly navigate the challenges of AI safety, fostering a responsible approach to the deployment of cutting-edge technologies, while also promoting ethical standards in artificial intelligence practices. This commitment to safety and responsibility positions Superagent as a crucial ally in the evolving landscape of AI development.

Cisco AI Defense serves as a comprehensive security framework designed to empower organizations to safely develop, deploy, and utilize AI technologies. It effectively addresses critical security challenges, such as shadow AI, which involves the unauthorized use of third-party generative AI tools, while also improving application security through enhanced visibility into AI resources and implementing controls that prevent data breaches and minimize potential threats. Key features of this solution include AI Access for managing third-party AI applications, AI Model and Application Validation that conducts automated vulnerability assessments, AI Runtime Protection offering real-time defenses against adversarial threats, and AI Cloud Visibility that organizes AI models and data sources across diverse distributed environments. By leveraging Cisco's expertise in network-layer visibility and continuous updates on threat intelligence, AI Defense ensures robust protection against the evolving risks associated with AI technologies, thereby creating a more secure environment for innovation and advancement. Additionally, this solution not only safeguards current assets but also encourages a forward-thinking strategy for recognizing and addressing future security challenges. Ultimately, Cisco AI Defense is a pivotal resource for organizations aiming to navigate the complexities of AI integration while maintaining a solid security posture.

ZenGuard AI operates as a specialized security platform designed to protect AI-enhanced customer service agents from a variety of potential dangers, thereby promoting their safe and effective functionality. Developed with input from experts affiliated with leading tech companies such as Google, Meta, and Amazon, ZenGuard provides swift security solutions that mitigate the risks associated with AI agents powered by large language models. This platform is adept at shielding these AI systems from prompt injection attacks by recognizing and counteracting any manipulation attempts, which is vital for preserving the integrity of LLM performance. Additionally, it prioritizes the identification and management of sensitive data to prevent potential data breaches while ensuring compliance with privacy regulations. ZenGuard also enforces content guidelines by blocking AI agents from discussing prohibited subjects, which is essential for maintaining brand integrity and user safety. Furthermore, the platform boasts a user-friendly interface for policy configuration, facilitating prompt adjustments to security settings as required. This flexibility is crucial in an ever-changing digital environment where new threats to AI systems can arise at any moment, thus reinforcing the importance of proactive security measures. Ultimately, ZenGuard AI stands as a comprehensive solution for anyone seeking to fortify their AI operations against evolving cyber threats.

White Circle functions as a holistic AI management platform, integrating visibility, safety, and performance improvement for AI systems by uniting testing, protection, oversight, and optimization into a single, coherent layer. Acting as a centralized hub, it bridges the gap between AI models and their users, diligently examining each input and output in real-time to ensure compliance with established safety, security, and quality standards. The platform features automated stress-testing capabilities that simulate demanding prompts and potential real-world attack scenarios, allowing teams to uncover vulnerabilities such as hallucinations, prompt injections, data breaches, and policy violations before deployment. Moreover, it includes a protective framework that enforces custom regulations through low-latency guardrails, which can swiftly block, rewrite, or flag unsafe outputs while also preventing the misuse of tools, unauthorized actions, or the risk of revealing sensitive information. In addition to these features, White Circle emphasizes user education on AI safety, creating a more informed and responsible interaction with technology. Through its extensive functionalities, White Circle not only bolsters the reliability of AI systems but also cultivates user trust, establishing a more secure operational landscape.

Aurascape is an innovative security platform designed specifically for the AI-driven landscape, enabling businesses to pursue innovation with confidence while navigating the rapid evolution of artificial intelligence. It provides a comprehensive overview of interactions among AI applications, effectively shielding against risks like data breaches and threats posed by AI advancements. Its notable features include overseeing AI activities across various applications, protecting sensitive data to comply with regulatory standards, defending against zero-day vulnerabilities, facilitating the secure deployment of AI copilots, creating boundaries for coding assistants, and optimizing AI security processes through automation. Aurascape's primary goal is to encourage the safe integration of AI tools within organizations, all while maintaining robust security measures. As AI applications continue to advance, their interactions are becoming more dynamic, real-time, and autonomous, highlighting the need for strong protective strategies. In addition to preempting new threats and securing data with high precision, Aurascape enhances team productivity, monitors unauthorized application usage, detects unsafe authentication practices, and minimizes risky data sharing. This holistic security strategy not only reduces potential risks but also empowers organizations to harness the full capabilities of AI technologies, fostering a secure environment for innovation. Ultimately, Aurascape positions itself as an essential partner for businesses aiming to thrive in an AI-centric future.

CrowdStrike Falcon AI Detection and Response (AIDR) is an all-encompassing security solution designed to protect against the rapidly shifting landscape of AI-related attacks by providing real-time visibility, detection, and response capabilities across diverse AI systems, users, and their interactions. This innovative platform offers a unified perspective on how both human employees and AI agents utilize generative AI, clarifying the relationships among users, prompts, models, agents, and the supporting infrastructure, while maintaining extensive runtime logs for monitoring, compliance, and investigative needs. By continuously tracking AI activities across various endpoints, cloud environments, and applications, organizations can uncover insights into data flows within AI systems and understand the operational boundaries of agents. AIDR excels at recognizing and mitigating AI-specific threats, such as prompt injections, jailbreak attempts, malicious actors, harmful outputs, and unauthorized interactions, leveraging behavioral analysis and integrated threat intelligence. Furthermore, the platform enhances proactive threat management, enabling organizations not only to react to incidents but also to foresee and address potential vulnerabilities within their AI environments. As a result, AIDR empowers organizations to maintain a robust security posture in the face of evolving AI threats while fostering trust in their AI implementations.

NeuralTrust stands out as a premier platform designed to secure and enhance the functionality of LLM agents and applications. Recognized as the quickest open-source AI Gateway available, it offers a robust zero-trust security model that facilitates smooth tool integration while maintaining safety. Additionally, its automated red teaming feature is adept at identifying vulnerabilities and hallucinations within the system. Core Features - TrustGate: The quickest open-source AI gateway that empowers enterprises to expand their LLM capabilities with an emphasis on zero-trust security and sophisticated traffic management. - TrustTest: An all-encompassing adversarial testing framework that uncovers vulnerabilities and jailbreak attempts, ensuring the overall security and dependability of LLM systems. - TrustLens: A real-time AI monitoring and observability solution that delivers in-depth analytics and insights into the behaviors of LLMs, allowing for proactive management and optimization of performance.

Openlayer is an AI governance and observability platform that helps enterprises evaluate, monitor, and control both traditional ML and generative AI systems. The platform is designed for modern AI environments that include LLM applications, RAG pipelines, agentic systems, and complex multi-step workflows. Openlayer provides more than 100 automated tests for evaluating model quality, safety, reliability, data quality, performance, and policy compliance. Teams can use these tests to automate comprehensive model evaluations and identify issues before AI systems affect users, customers, or business operations. The platform’s observability features provide full traceability across prompts, retrieved context, agents, tool usage, intermediate steps, model outputs, and workflow decisions. Real-time guardrails help prevent prompt injections, PII leakage, biased outputs, toxicity, hallucinations, and other AI safety risks. Openlayer supports teams across the full AI lifecycle, from early experimentation and validation to production monitoring and governance reporting. Its governance automation capabilities help organizations align AI development and deployment processes with responsible AI frameworks such as NIST and the EU AI Act. The platform is built for enterprises that need to innovate with AI while maintaining security, compliance, explainability, and operational oversight. Openlayer also helps teams manage risk across both classic machine learning models and newer GenAI systems, giving organizations a unified approach to AI quality and trust. By combining automated testing, observability, real-time protection, traceability, and governance workflows, Openlayer enables safer, more reliable, and more responsible AI operations at scale.

DryRun Security helps AppSec and Product Security leaders keep up with modern code change volume using AI Native SAST and Agentic Code Security. It is built for application security and developer teams that need higher-signal findings, consistent guardrails, and faster evidence for audits, without slowing development. DryRun Security is powered by its Contextual Security Analysis engine, which understands code and intent to reduce false positives and surface risks that pattern-based scanning often misses. How teams use DryRun Security: Code Review Agent: PR-native security feedback within moments of a push, delivered as comments and checks. Custom Policy Agent: enforce Natural Language Code Policies, written in plain English, on every pull request. DeepScan Agent: on-demand full-repository security assessments in about an hour, with a prioritized report engineers can fix fast. Code Insights Agent: visibility into trends, posture, and reporting across repos. DryRun Security works with GitHub and GitLab permission models. It protects security with private LLM capabilities, avoids sending code to public AI systems, and processes data with ephemeral services, while retaining only findings and minimal metadata for reporting.

Silmaril represents a groundbreaking defense strategy against prompt injection, designed to autonomously repair itself in order to protect AI systems from complex, layered threats that traditional defenses often fail to address. Unlike standard techniques that simply filter out harmful inputs, it envelops inference requests, rigorously analyzing whether the series of actions could lead to adverse outcomes. Utilizing a multihead classifier, Silmaril assesses user motivations, application contexts, and execution states in parallel, enabling it to detect indirect injections, prolonged attack patterns, context alterations, and tool misuse before they can inflict damage. To bolster its protective features, Silmaril employs autonomous threat-hunting agents that navigate through systems, uncover vulnerabilities, and generate synthetic training data from real attack scenarios. This intelligence not only aids in automatic model retraining, allowing for the implementation of upgraded defenses in under an hour, but also ensures the distribution of anonymized protective strategies across all operational instances. Furthermore, this forward-thinking methodology guarantees that the system can maintain its resilience against new threats, continuously adapting to the shifting challenges in the cybersecurity landscape. By consistently evolving, Silmaril ultimately fortifies the security framework surrounding AI technology.

ZeroLeaks is an advanced security platform powered by AI, tailored to help organizations identify and rectify vulnerabilities associated with exposed system prompts, internal tools, and logical errors that could facilitate prompt injection, data extraction, or other data leakage risks that endanger sensitive instructions and intellectual property. This platform includes an engaging dashboard that enables users to manually scan system prompts or automate the scanning process via CI/CD integrations, which helps in detecting leaks and injection vectors before code is deployed. Furthermore, it integrates an AI-driven red-team analysis engine that scrutinizes prompt areas for logical inconsistencies, extraction risks, and possible misuse, offering users evidence, scoring metrics, and practical remediation plans. Designed specifically for enterprise-level security concerning products that utilize large language models, ZeroLeaks provides comprehensive vulnerability assessments that detail the severity of prompt exposure, underscore critical risks, furnish proof of identified issues, and delineate access routes along with recommended solutions, such as reconfiguring prompts and restricting tool access. By utilizing ZeroLeaks, organizations can significantly enhance their security protocols and effectively protect their valuable intellectual assets from potential threats. Importantly, the platform not only aids in risk management but also fosters a culture of security awareness within the organization.

Large Language Models (LLMs) are developed using vast collections of data, which may unintentionally include personal information, posing risks of unauthorized access and exploitation by unethical entities. To mitigate these challenges, ZeroTrusted.ai has introduced its LLM Firewall, designed to shield against these vulnerabilities effectively. This sophisticated sanitization model can recognize various sensitive data categories, such as GDPR, PHI, PII, and PCI information. Furthermore, it is regularly updated with compliance data from NIST to guarantee adherence to regulations while streamlining the compliance workflow. In addition to these features, our platform provides a range of tools for prompt optimization, reducing hallucinations, and preventing data injection via our innovative LLM ensemble technique, all aimed at improving user interaction. It is essential to highlight that these robust functionalities are only available through our business plan, ensuring your organization benefits from optimal protection and enhanced capabilities. Ultimately, ZeroTrusted.ai's commitment to security and compliance empowers users to navigate the complexities of data management with confidence.

Regularly assess and address vulnerabilities associated with AI data, models, and application usage utilizing IBM Guardium AI Security, which offers continuous and automated monitoring for AI deployments. The platform detects security weaknesses and configuration errors while overseeing the security interactions among users, models, data, and applications. This capability is part of the IBM Guardium Data Security Center, which aims to improve collaboration between security and AI teams by providing streamlined workflows, a consolidated view of data assets, and centralized compliance guidelines. Guardium AI Security pinpoints the specific AI model associated with each deployment, detailing the interactions among data, models, and applications involved. Moreover, it reveals all applications that interact with the model, enabling users to evaluate vulnerabilities in the model, its underlying data, and the applications involved. Each identified vulnerability is assigned a criticality score, which aids in the efficient prioritization of remediation actions. Additionally, users have the capability to export the list of vulnerabilities for detailed reporting, ensuring that all relevant stakeholders are kept informed and coordinated on security initiatives. This proactive strategy not only fortifies security measures but also cultivates a culture of vigilance and proactive response within the organization, ultimately enhancing overall resilience against potential threats.

EarlyCore is a specialized security platform crafted specifically for AI agents, enhancing the efficiency of pre-production attack testing, ongoing surveillance, and compliance documentation throughout the agents' operational lifespan. The platform rigorously assesses agents against a wide range of potential threats, including prompt injection, jailbreaking, data exfiltration, tool misuse, and vulnerabilities within the supply chain. After agents are deployed, EarlyCore provides continuous oversight of their actions, establishes baseline behavioral norms, and detects anomalies in real time, promptly notifying users through Slack, email, or webhooks. Furthermore, it automates the creation of compliance documentation that adheres to various standards such as ISO 42001, NIST AI RMF, EU AI Act, SOC 2, and GDPR, ensuring that organizations are always prepared for audits. With an impressive deployment time of merely 15 minutes and without requiring any code modifications, it integrates effortlessly with services like AWS Bedrock, Gemini Enterprise Agent Platform, and LangChain, among others. Additionally, it supports multi-tenant environments, making it particularly suitable for agencies and Managed Security Service Providers (MSSPs). Tailored for security teams, agencies, and MSSPs, EarlyCore equips organizations with the tools necessary to effectively secure AI agents at scale while upholding rigorous compliance and security standards, ultimately fostering a safer AI ecosystem.