Top Pillar Security Alternatives

Akto is a rapid, open-source API security platform that enables users to set up in just one minute. Security teams utilize Akto to keep an ongoing inventory of APIs, assess them for vulnerabilities, and identify issues during runtime. The platform includes tests for all categories from the OWASP Top 10 and HackerOne Top 10, such as Broken Object Level Authorization (BOLA), authentication flaws, Server-Side Request Forgery (SSRF), Cross-Site Scripting (XSS), and various security configurations. With its robust testing engine, Akto conducts a range of business logic tests by analyzing traffic data to discern API usage patterns, effectively minimizing false positives. Additionally, Akto supports integration with a variety of traffic sources, including Burpsuite, AWS, Postman, GCP, and various gateways, enhancing its usability across different environments. This adaptability makes Akto a valuable tool for ensuring the security of APIs in diverse operational settings.

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.

Flint AI is a command-line interface that prioritizes local-first and framework-agnostic approaches in AgentOps, aimed at helping developers evaluate the reliability of AI agents before they are released in production environments. By utilizing the command flintai scan, users can analyze Python source code for a range of potential problems, including security vulnerabilities, misconfigurations, and insufficient safety protocols, while also leveraging AI reasoning to minimize the chances of false positives. The flintai eval command further tests an active agent by delivering both functional and adversarial prompts, scoring its replies based on more than 35 established criteria that include factual accuracy, compliance with instructions, and robustness against prompt injections and attempts to jailbreak. Each agent that undergoes evaluation receives a reliability score, with findings categorized according to the OWASP Agentic Security Initiative risk classifications ASI01 to ASI10, and severity levels determined using CVSS v4.0 metrics. Flint AI's compatibility spans multiple agent frameworks and SDKs, such as Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen, which broadens its utility within the development landscape. This adaptable tool not only improves the security and quality of AI agents but also simplifies the evaluation process, ultimately enhancing trust in AI deployment while contributing to the overall advancement of AI technology. Overall, Flint AI represents a significant step forward in ensuring the reliability and safety of AI systems across various applications.

General Analysis is an advanced AI security platform meticulously crafted to assist security teams in testing, monitoring, and protecting AI agents and systems that are currently in operation. Its main goal is to help organizations understand AI-related vulnerabilities, prevent incidents, and ensure the safety of a variety of real-world AI applications including employee assistants, coding tools, customer service solutions, healthcare support, legal aids, financial advisors, and creative processes. By thoroughly mapping AI applications and agents across a wide array of parameters such as prompts, retrieval techniques, tools, MCP servers, browser interactions, permissions, repositories, cloud accounts, SaaS workflows, and business operations, it effectively detects context-sensitive attacks that expose weaknesses in the system. The platform’s automated red teaming utilizes dynamic attacker models that adapt to the behaviors of their targets, crafting intricate multi-step exploit chains that equip security teams with the capability to identify vulnerabilities that conventional static testing methods might miss. In essence, General Analysis not only strengthens an organization's AI security framework but also assures that their AI implementations remain robust and agile against continuously evolving threats. By fostering a proactive security approach, it enables firms to stay ahead of potential adversarial challenges in the rapidly changing technological landscape.

Shifting from development to production, as well as from conventional data engineering to artificial intelligence, necessitates the safeguarding of various environments, pipelines, tools, and open-source components that form the backbone of your data and AI supply chain. It is crucial to consistently identify, avert, and correct security and compliance weaknesses in AI prior to their deployment in production. Furthermore, real-time monitoring of AI applications facilitates the identification and counteraction of adversarial AI attacks while ensuring that specific application guardrails are maintained. Noma seamlessly integrates throughout your data and AI supply chain and applications, delivering a comprehensive overview of all data pipelines, notebooks, MLOps tools, open-source AI components, and both first- and third-party models alongside their datasets, which in turn allows for the automatic generation of a detailed AI/ML bill of materials (BOM). Additionally, Noma continuously detects and provides actionable insights for security challenges, including misconfigurations, AI-related vulnerabilities, and the improper use of non-compliant training data across your data and AI supply chain. This proactive strategy empowers organizations to significantly improve their AI security framework, ensuring that potential risks are mitigated before they have a chance to affect production. In the end, implementing such strategies not only strengthens security but also enhances overall trust in AI systems, fostering a safer environment for innovation.

Snapper functions as an all-encompassing security framework designed specifically for AI agents, focusing on the governance and safeguarding of organizations that deploy AI across a multitude of applications, networks, and systems. It enforces runtime regulations by meticulously examining each action performed by an agent, including interactions with tools, API requests, and data access demands, before they are executed, employing a sophisticated, multi-layered, policy-driven rule engine. Furthermore, Snapper offers a comprehensive overview of AI activities by scrutinizing network traffic, browser activity, DNS queries, and active processes to detect unauthorized tools and concealed AI applications. In addition, it takes proactive steps to intercept outgoing requests to large language models through SDK wrappers and a network proxy, enabling real-time assessment, redaction, and documentation of sensitive data. To bolster its protective capabilities, Snapper incorporates advanced threat detection systems capable of identifying prompt injection strategies, exploit chains, abnormal behaviors, and intricate attack patterns, using behavioral baselines, kill chain analysis, and an integrated trust scoring framework for enhanced security. This combination of features makes Snapper an invaluable resource for organizations striving to manage the inherent risks linked to AI implementation while ensuring the integrity of their operations. Ultimately, the platform not only mitigates potential threats but also empowers organizations to confidently leverage AI technology.

AI Security Guard provides a robust solution for protecting autonomous AI systems, incorporating a protective SDK, adaptable product tools, informative resources, and innovative research aimed at the future of intelligent technology. The Protection SDK acts as an accessible API wrapper, crafted to shield AI agents from threats such as jailbreaks, prompt injections, and other harmful content before they can adversely affect your models. Utilizing this API, AgentGuard360 continuously monitors AI interactions in real-time, effectively blocking harmful content from reaching your agents; this tool features dual-layer content scanning, supply chain protection, and device reinforcement, all while emphasizing user privacy by maintaining data locally unless advanced analysis is requested. Additionally, the platform is dedicated to fostering understanding through original research that examines the repercussions of autonomous AI, tackling essential issues related to security, privacy, and safety, including noteworthy publications like "Shipping the Future." This comprehensive strategy not only strengthens the security of AI systems but also adds to the broader discourse on the challenges and prospects that autonomous technology presents for the future. Furthermore, by prioritizing user-centric designs and ongoing research, AI Security Guard ensures that the evolving landscape of AI remains safe and beneficial for all stakeholders involved.

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.

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.

Mindgard is an automated AI red teaming platform for security and engineering teams accountable for AI in development and production. It continuously tests AI models, agents, and applications the way real attackers do, finds the vulnerabilities most likely to cause a breach, validates whether guardrails hold, and delivers evidence and remediation steps to close each gap. Coverage includes prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Assessments take hours rather than weeks. SOC 2 Type 2 compliant.

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.

Enkrypt AI is an agentic AI security and compliance platform that helps enterprises identify, mitigate, monitor, and govern risks associated with AI models, applications, agents, and supporting infrastructure. The platform is designed to cover AI security threats and compliance requirements across different models and modalities while allowing organizations to continuously evaluate AI systems as they evolve. Its dynamic red teaming capabilities generate use-case-specific attacks that adapt in real time to uncover security, safety, compliance, and brand risks beyond those identified through static testing. Enkrypt AI can test for threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, drip attacks, unsafe actuation, policy violations, and misuse by end users. It also evaluates AI quality and safety risks such as hallucinations, model drift, bias and discrimination, toxic content, deceptive behavior, misleading outputs, lack of explainability, and brand misalignment. Real-time guardrails detect and stop risky interactions as they occur while adapting to new prompts, behaviors, and emerging threats. Continuous monitoring gives security and compliance teams visibility into AI risks, protection effectiveness, and areas requiring action as models and applications change. Enkrypt AI's compliance functionality converts internal policies and external regulatory requirements into automated guardrails and generates evidence that can support audits and compliance programs. The product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway for protecting AI agents, their data, and their connections to tools and infrastructure. Enkrypt AI supports use cases including customer-facing AI agents, frontier models, AI compliance and auditing, third-party AI risk, secure AI development, data risk assessment, and MCP security.

Darktrace / SECURE AI presents a robust AI security framework that integrates all AI interactions within a company into a cohesive view, allowing teams to understand intentions, assess risks, protect sensitive data, and maintain adherence to regulations. It offers immediate oversight of prompts, sessions, and responses across a range of enterprise GenAI applications such as Microsoft Copilot and ChatGPT Enterprise, along with low-code platforms like Microsoft Copilot Studio, high-code solutions like Amazon Bedrock and SageMaker, Software as a Service (SaaS) offerings, and secure access service edge (SASE) technologies. By leveraging behavioral analytics, it effectively distinguishes between normal business operations and significant or dangerous anomalies, enabling the detection of conversational prompt attacks, harmful chaining, and other risky behaviors without relying solely on past attack data. Darktrace's distinctive capability to learn in real-time from the environment it protects allows it to identify new and AI-centric threats as they first arise. This dynamic learning feature not only boosts its ability to tackle emerging security issues but also positions it as a critical tool in navigating an increasingly intricate technological landscape. As organizations continue to expand their use of AI, the importance of such adaptive security measures will only grow.

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.

Harden AIF is a dedicated security solution tailored for AI coding agents, focusing on safeguarding agent endpoint security by evaluating tool calls before they are executed, taking into account the developer's intent, the context of the session, the organization’s policies, and the potential consequences of the proposed action. This platform is adept at protecting against various threats, including harmful commands, unauthorized access, accidental data transfers, exposure of sensitive information, misuse of privileges, and other potentially dangerous actions performed by agents. By allowing legitimate operations to continue smoothly, it also ensures the safe redaction of sensitive data during approved workflows while blocking actions that stray from the developer's original intent or surpass their authority. Harden AIF's compatibility with a range of popular coding agents and development tools, such as Claude Code, Codex, Cursor, Antigravity CLI, Kiro, Hermes, and OpenClaw, establishes a consistent security framework across the agent ecosystem. This thorough methodology not only bolsters security measures but also cultivates a more secure environment for developers engaging with AI technologies. Furthermore, its ability to adapt and integrate with emerging tools signifies a forward-thinking approach in the ever-evolving landscape of AI development.

Xygeni gives CISOs, AppSec leads, and DevSecOps teams a single, prioritized view of risk across the entire software supply chain, instead of a separate dashboard for every scanner they run. The platform combines native detection (SAST, SCA, DAST, Secrets, IaC, Container, CI/CD, and Build Security) with an ASPM layer that also ingests findings from third-party tools like Snyk, Veracode, and Checkmarx. Rather than treating those as second-class results, Xygeni applies the same AI triage, prioritization, and remediation to everything, ranked by exploitability and business impact, which is what drives its up to 90% reduction in alert noise. Two AI systems support day-to-day operations: CoreAI functions as a copilot for security leadership, correlating findings into executive-ready reporting, while DevAI works earlier in the process, fixing issues directly inside the developer's IDE before code is even committed. For supply chain-specific threats, the MEW engine identifies malicious open-source packages before a signature exists, and Shield enforces that same protection at the developer endpoint, blocking unauthorized downloads before they reach disk. Xygeni is available as SaaS, on-premises, or air-gapped, with EU-hosted options for regulated industries such as finance, insurance, and public sector. It integrates with GitHub, GitLab, Bitbucket, Jenkins, and Azure DevOps.

AIM Intelligence is an all-encompassing AI security platform that ensures oversight of AI systems as they make decisions, utilize APIs, and execute tasks in real-world business settings. It takes a proactive stance against potential threats to AI, preventing malicious actors from exploiting weaknesses by implementing real-time guardrails to ensure compliance with corporate policies. This platform features a diverse range of integrated solutions such as automated AI red teaming, prompt guardrail enforcement, and expert consulting on security frameworks, which aid organizations in managing complex AI risks during both development and operational stages. Stinger plays a crucial role in enhancing AI vulnerability detection by replicating numerous attack scenarios, enabling extensive agentic red teaming that goes beyond simple prompt-level threats, and performing assessments across various modalities including text, image, audio, video, and even physical AI, while offering customized vulnerability evaluations based on specific business logic. In parallel, Starfort ensures real-time enforcement of AI guardrails by detecting and protecting sensitive information like personally identifiable information (PII) and trade secrets while monitoring for irregular API requests made by autonomous agents. By integrating these critical components, AIM Intelligence empowers organizations with essential tools to foster a secure and compliant AI landscape, ultimately promoting trust in AI technologies. As businesses increasingly rely on AI, the importance of robust security measures becomes paramount.

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.

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.

Vulnify functions as a specialized runtime authorization platform designed for developers and security teams who are building AI agents that engage with various tools or APIs. Before a tool is executed, the agent sends over action metadata, which includes information about the agent, the specific action, the resource involved, the target destination, and the number of records affected, after which it receives a decision labeled as ALLOW, REVIEW, or BLOCK, along with a risk score between 0 and 100, complete with explanations. Users can create and test YAML policies via a command-line interface, and they also have the option to integrate checks through Node.js or Python SDKs, a REST API, or numerous adapters compatible with their agent frameworks. Furthermore, the monitor mode allows for the logging of decisions without disrupting ongoing actions, and should Vulnify become unavailable, a fail-closed mechanism will halt actions unless a fail-open configuration is activated. An audit log that employs hash chaining keeps a detailed record of decisions made, and paid subscription plans can include human review processes to enhance oversight. Common applications for Vulnify involve monitoring data exports, controlling external communications, processing financial transactions, and other agent-initiated activities. It's essential to highlight that Vulnify prioritizes the assessment of action metadata rather than the actual content of the impacted records, ensuring an efficient and focused approach to authorization. By implementing this innovative system, organizations can significantly bolster their security and compliance in AI-driven operations, ultimately fostering a safer digital environment for their applications.

Uncover all cloud and SaaS resources within your organization in a matter of minutes. Take command of your supply chains, eradicate shadow IT, and minimize SaaS sprawl effectively. Nudge Security offers the capability to identify, catalog, and continuously monitor every cloud and SaaS account that employees have established, all within a short timeframe. There’s no need for endpoint agents or browser extensions to facilitate this process. By providing insights into the risk profiles, compliance requirements, and security measures of each provider, you can expedite security assessments in alignment with the rapid adoption of SaaS solutions. Additionally, you can attain clarity regarding your SaaS supply chains to assess whether you are within the risk zone of any incidents. To effectively manage SaaS security at scale, it’s essential to engage your workforce actively. Implement security prompts grounded in behavioral science to motivate employees towards making informed decisions and fostering improved practices. This engagement can lead to a more secure and responsible use of SaaS tools across your organization.

The NVIDIA Open Agent Safety Platform is an open reference framework dedicated to the continuous monitoring and management of AI agents' behavior, allowing organizations to maintain agents that are isolated, observable, auditable, and operate within established parameters. This platform combines real-time governance with ongoing threat detection and policy enforcement through hardware isolation, ensuring that enterprise AI agents are protected throughout their lifecycle, from initial testing to deployment. Complementing this, the NVIDIA OpenShell provides an open-source runtime that separates the execution of agents from their access to data, tools, and external systems, employing sandboxed environments and a zero-trust policy to tightly control agents' visibility and interactions. Policies are applied externally to the agent processes, thereby reducing the risks linked to unexpected behaviors. Additionally, NVIDIA Sentry bolsters security by implementing a thorough monitoring system for agent requests and responses, validating agent identities, and managing access to data, tools, APIs, and services, with the ability to isolate agents when required. This multifaceted strategy not only protects AI agents but also fosters a secure and regulated operational environment for organizations, ultimately enhancing their confidence in AI deployment. With such safeguards in place, companies can innovate with AI while minimizing potential risks.

AgentShield is a cutting-edge identity platform that is crafted to authenticate both human users and the AI agents that represent them. It empowers organizations to validate the identity of an agent, ensure that the individual behind the agent has granted authorization, and evaluate the reliability of the agent, all via intuitive APIs and JavaScript integrations. The platform is equipped with features that enable the identification of agent interactions on websites, as well as the implementation of identity and permission validations for communications between agents and services, in accordance with the open Model Context Protocol Identity (MCP-I) standards. Furthermore, with the KYA functionality, businesses can efficiently manage agent identities and their permissions, create comprehensive audit trails, automate workflows, and enforce strict access controls for autonomous systems. This holistic strategy not only protects against potential exploitation of digital identities but also fosters transparency in the operations of AI systems on behalf of users. As the landscape of technology continues to advance, the importance of such stringent security protocols grows, presenting organizations with the challenge of effectively navigating the intricacies of digital identity management while ensuring user confidence. In this evolving environment, the role of platforms like AgentShield becomes indispensable for maintaining the integrity and trustworthiness of digital interactions.

CloudEagle.ai is an AI-powered SaaS Management, AI Governance, and Identity Governance platform that helps IT, Security, Procurement, and Finance teams discover, govern, secure, and optimize every SaaS and AI application across the enterprise, including applications operating outside SSO or traditional IT visibility. As AI tools, Shadow IT, and employee-purchased applications rapidly expand, traditional IAM and SaaS management solutions can no longer provide complete visibility or control. CloudEagle brings SaaS management, AI governance, identity governance, security, and procurement workflows together into one unified platform. Powered by 500+ integrations and AI-driven contract and usage intelligence, CloudEagle centralizes application usage, access permissions, contracts, renewals, and spend data into a single source of truth, helping organizations reduce waste, strengthen security, improve compliance readiness, and streamline SaaS operations. Key Features- • Shadow IT & Shadow AI Discovery • AI Governance & Policy Enforcement • AI Usage Visibility & Risk Monitoring • Automated Provisioning & Deprovisioning • Identity Governance & Access Controls • Continuous Access Reviews • SaaS Management & License Optimization • SaaS Spend Visibility & Reporting • Centralized Contract Management • Renewal Orchestration & Benchmarking Insights • Audit-Ready Access Logs • 500+ Integrations

Jozu serves as an AI-powered platform dedicated to enhancing the security of supply chains by confirming the integrity of artifacts before they are executed, overseeing agent activities in real-time, and keeping a detailed log of all subsequent actions. The Jozu Hub functions as a self-contained repository for models, agents, MCP servers, and skills, guaranteeing that each artifact is integrated with cryptographic signatures, attestations, comprehensive scans, policy compliance, and audit records. This platform's security assessment, specifically designed for AI applications, tackles numerous threats such as hidden executable code within model packages, compromised weights, data poisoning, prompt injection, insecure tools, and licensing breaches. Users can establish policies once, which are then distributed as signed OCI artifacts, with enforcement occurring during the actions of pulling, promoting, admitting, or executing these artifacts. Furthermore, Jozu Agent Guard collaborates seamlessly with workloads across servers, desktops, edge devices, and isolated systems, applying local filtering for prompts and input-output, implementing access controls for tools, requiring approvals, and enforcing policies in real-time. By adopting this all-encompassing strategy, Jozu significantly boosts security while also providing a resilient framework for managing and protecting AI-related artifacts throughout their entire lifecycle. Ultimately, this ensures that users can trust the integrity and compliance of their AI systems.

Secure Traces is an AI-first enterprise technology partner that combines agentic AI, healthcare modernization, cybersecurity, cloud infrastructure, and enterprise application services. The company builds autonomous agents, LLM workflows, secure machine learning pipelines, and AI governance systems for organizations seeking to automate complex business processes. Its AI services are designed to connect enterprise data, decisions, and actions through agentic workflows that can operate within controlled production environments. Secure Traces also delivers healthcare and pharmaceutical platforms for clinical, pharmacy, and payer use cases with attention to HIPAA, GxP, and other regulated requirements. Its cybersecurity practice includes round-the-clock SOC operations, threat intelligence, threat hunting, defense engineering, security monitoring, and enterprise risk management. Dedicated operational technology security services extend monitoring and defense capabilities to industrial systems such as SCADA, ICS, and connected field environments. The company also supports secure cloud transformation, Oracle Fusion Cloud ERP, custom enterprise applications, and integrations needed to modernize legacy business systems. Insurance services focus on property and casualty workflows such as underwriting, claims processing, and core platform modernization. Secure Traces follows a structured delivery process that includes assessment, strategy, implementation, continuous monitoring, response, and optimization. Certifications such as ISO 9001 and ISO/IEC 20000-1:2018 support its emphasis on standardized service delivery and operational discipline. Secure Traces is designed for organizations that want to adopt AI and modern enterprise technology while maintaining measurable security, regulatory alignment, and operational resilience.

Gather all findings related to Application Security, including SAST, DAST, and SCA, and connect them to vulnerabilities in both infrastructure and cloud security to achieve a thorough understanding of your application's security status. By streamlining the data, removing redundant entries, and correlating these insights, you can improve the risk mitigation process and prioritize the most impactful issues for the business. Create a centralized repository that encompasses findings and remediation efforts across different tools, teams, and applications. The AppSecOps approach emphasizes the identification, prioritization, resolution, and prevention of security threats, weaknesses, and risks, integrating smoothly with existing DevSecOps workflows, teams, and instruments. A dedicated AppSecOps platform enables security personnel to enhance their ability to effectively detect, manage, and prevent critical security, vulnerability, and compliance issues at the application level while also identifying and bridging any existing coverage gaps. This comprehensive strategy not only promotes improved collaboration across teams but also strengthens the overall security infrastructure of the organization, ensuring a more resilient posture against potential threats. By embracing this unified methodology, organizations can realize greater efficiency and effectiveness in addressing security challenges.

Prompt Security enables organizations to harness the potential of Generative AI while minimizing various risks that could impact their applications, employees, and customers. It thoroughly analyzes each interaction involving Generative AI—from AI tools employed by staff to GenAI functionalities embedded in customer services—ensuring the safeguarding of confidential data, the avoidance of detrimental outputs, and protection against threats associated with GenAI. Moreover, Prompt Security provides business leaders with extensive insights and governance tools concerning the AI technologies deployed across their enterprise, thereby improving operational visibility and security measures. This forward-thinking strategy not only encourages innovative solutions but also strengthens customer trust by placing their safety at the forefront of AI implementation. In this way, organizations can confidently explore new frontiers in technology while maintaining a commitment to responsible and secure practices.

Tragentics functions as a comprehensive security framework for AI agents, ensuring that each agent undergoes authentication and retrieves keys securely from an encrypted Credential Vault, thereby removing the necessity for agents to hold them directly. It channels all communications through a content-blind relay and preserves a metadata-only audit trail that encompasses various platforms and protocols. Importantly, this platform does not engage in any inference or execute the logic of agents, nor does it access or retain the content of agent communications. Every agent is assigned a distinct permanent ID and an Ed25519 identity, with their keys protected at rest utilizing AES-256-GCM encryption. Additionally, each interaction is authenticated, subjected to rate limiting, and recorded strictly as metadata, which prevents the capture of any payload data. Tragentics is also protocol-agnostic, efficiently handling traffic for a range of existing agents such as MCP, A2A, ACP, OpenAI, ANP, and DID, thereby offering a well-rounded solution for AI agent security. This innovative approach allows organizations to bolster their security protocols without jeopardizing the operational efficiency or privacy of their systems, ultimately fostering a safer environment for AI integration.

Mountain Theory is AI security for companies running autonomous AI agents. Before an agent's action runs, Mountain Theory checks it against your rules and allows it, holds it for a person to approve, or blocks it. It stops an agent working around a block, catches an agent drifting off the task it was given, and stops new bad behavior on the day it first appears, with no new rule needed. It also keeps personal data from leaving and blocks instructions hidden in documents. Rules are written in plain English with no code. Every decision is logged for your auditor. It works with any AI you already use, in your environment or the cloud. We publish our recorded tests, misses included.