
Effectively tracking third-party scripts removes ambiguity, guaranteeing that you remain informed about what is sent to your users' browsers. The uncontrolled existence of these scripts within users' browsers can lead to major complications when issues arise, resulting in negative publicity, possible legal repercussions, and claims for damages due to security violations. Organizations that manage cardholder information must adhere to PCI DSS 4.0 requirements, specifically sections 6.4.3 and 11.6.1, which mandate the implementation of tamper-detection mechanisms by March 31, 2025, to avert attacks by alerting relevant parties of unauthorized changes to HTTP headers and payment details. c/side is distinguished as the only fully autonomous detection system focused on assessing third-party scripts, moving past a mere reliance on threat intelligence feeds or easily circumvented detection methods. Utilizing historical data and advanced artificial intelligence, c/side thoroughly evaluates the payloads and behaviors of scripts, taking a proactive approach to counter new threats. Our ongoing surveillance of numerous websites enables us to remain ahead of emerging attack methods, as we analyze all scripts to improve and strengthen our detection systems continually. This all-encompassing strategy not only protects your digital landscape but also cultivates increased assurance in the security of third-party integrations, fostering a safer online experience for users. Ultimately, embracing such robust monitoring practices can significantly enhance both the performance and security of web applications.
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Criminal IP functions as a cyber threat intelligence search engine designed to identify real-time vulnerabilities in both personal and corporate digital assets, enabling users to engage in proactive measures. The concept behind this platform is that by acquiring insights into potentially harmful IP addresses beforehand, individuals and organizations can significantly enhance their cybersecurity posture. With a vast database exceeding 4.2 billion IP addresses, Criminal IP offers crucial information related to malicious entities, including harmful IP addresses, phishing sites, malicious links, certificates, industrial control systems, IoT devices, servers, and CCTVs. Through its four primary features—Asset Search, Domain Search, Exploit Search, and Image Search—users can effectively assess risk scores and vulnerabilities linked to specific IP addresses and domains, analyze weaknesses for various services, and identify assets vulnerable to cyber threats in visual formats. By utilizing these tools, organizations can better understand their exposure to cyber risks and take necessary actions to safeguard their information.
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Enkrypt AI
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.
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DeepKeep
DeepKeep is a cutting-edge security solution created to support organizations in the secure development, deployment, and use of AI applications, agents, models, and tools for their workforce. It proficiently addresses issues that traditional security approaches struggle to manage, including prompt injection, potential leakage of sensitive data, hallucinations, unsafe outputs, agent exploitation, harmful models, and shadow AI activities.
The platform fortifies the security across the entire AI lifecycle by integrating features such as automated and Vibe AI Red Teaming, a real-time AI Firewall equipped with guardrails, AI Usage Control, an AI Agent Scanner, and thorough Model Scanning. These tools enable security teams to identify vulnerabilities prior to deployment, evaluate agent attack surfaces, inspect models, monitor employee AI usage, and protect AI interactions within live settings.
The adaptability of DeepKeep is highlighted by its model-agnostic, multimodal design, and comprehensive multilingual features. Additionally, it supports a range of deployment options including SaaS, private cloud, on-premises, and air-gapped environments, allowing organizations to protect their AI while complying with privacy, sovereignty, and regulatory requirements. With its solid infrastructure, DeepKeep not only strengthens security measures but also builds confidence in AI technologies across a variety of industries, ultimately paving the way for safer and more reliable AI integration. This platform thus represents a significant advancement in the pursuit of secure AI utilization.
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