Adversa AI
Autonomous AI red teaming platform that continuously tests AI agents, LLMs, and GenAI apps. 300+ attack techniques. OWASP & NIST mapped. Trusted b
Custom threat models built around your specific AI stack, covering everything from prompt injection to agentic goal hijacking. Our platform runs autonomous red teaming campaigns on every model update, prompt change, and new tool connection — so your security posture evolves as fast as your AI stack does. Auto generated patches and actionable reports enable your engineers to prioritize fixes, enforce least-agency principles, and verify defenses hold. AI guardrails block known threats — but four attack patterns consistently bypass them. See what AI red teaming finds that guardrails miss, and why both belong in your agentic AI security program. OpenClaw proved high-agency AI works, but banning it won't stop shadow AI or close the competitive gap. Here's the enterprise security strategy you need instead. Adversa AI wins the 2026 BIG Innovation Award for its Agentic AI Security Platform, recognized for advancing continuous Red Teaming for autonomous agents. Discover how the platform helps enterprises address critical risks like goal hijacking and tool misuse, covering the [...] Most AI security assessments focus solely on prompt injection, leaving up to 90% of your agentic AI attack surface exposed. From memory poisoning to tool execution and inter-agent trust, discover the 10 distinct architectural vulnerabilities that could lead to your [...] AI agents don’t just suggest transfers — they execute them. Attackers can now hijack goals, poison memory, and turn your digital workforce against you through natural language manipulation. OWASP’s new framework maps the four pillars of agentic business risk. The [...] As AI systems evolve from passive responders to autonomous agents equipped with planning, memory, and tool use, the Model Context Protocol (MCP) becomes a central architectural layer — and a new security frontier. Yet traditional red teaming approaches are ill-equipped [...] Competition pushes companies to release AI products sooner with no security in mind. Without designing fail-proof AI systems, companies put at risk their businesses, users, and society as a whole. Adversa AI experts are invited to comment attacks on AI, and our research results are published in top-tier media “I would say most of the engineers working on A.I., they don’t understand the new attack vectors,” Alex Polyakov, the founder and CEO of Israeli A.I. security startup Adversa.Al., says. What can we do to minimize the harm from AI? We must understand that we’re creating a new creature that will have great power beyond our own. …if we don’t teach and train it correctly from the very beginning, it can make things worse than they are now. “Research from cybersecurity and safety firm Adversa AI indicates GPTs will leak data about how they were built, including the source documents used to teach them, merely by asking the GPT some questions.” Adversa AI’s technique is designed to fool facial recognition algorithms i
AIShield
Choose the leader in AI security for a robust defense. Preserve brand reputation with AIShield AI security solutions. Defend against AI threats, and p
AISpectra simplifies AI supply chain security by automating model and notebook discovery and performing in-depth vulnerability assessments. Save numerous hours in development and fixing the vulnerabilities by seamlessly integrating AISpectra with cloud platforms and CI/CD pipelines. AISpectra empowers enterprises to innovate confidently with compliant, resilient AI systems.. AISpectra redefines ML security with automated red teaming, exposing vulnerabilities like adversarial attacks, model theft, and data poisoning. Through real-time simulations and detailed reporting, it empowers organizations to proactively secure their AI assets across the ML lifecycle. AISpectra transforms LLM security with comprehensive automated red teaming, uncovering various vulnerabilities like prompt injections and jailbreaks etc. Built for seamless cloud integration with multi-model capability, AISpectra accelerates secure innovation for LLM-driven solutions. Guardian ML Firewall delivers enterprise-grade protection for Machine Learning applications by proactively detecting and mitigating adversarial threats like extraction, evasion, and poisoning. With real-time intrusion detection, seamless integration into tools like Splunk and Sentinel, and advanced data validation, Guardian ensures your AI assets remain secure, compliant, and resilient. Guardian provides enterprise-grade security for Generative AI applications and LLMs by proactively mitigating risks like prompt injection attacks, jailbreaks, and sensitive data exposure. It dynamically safeguards AI inputs/outputs with customizable content controls, including bias detection and PII anonymization, ensuring secure, ethical, and scalable GenAI deployments. Unparalleled AI Security Made Simple. AIShield provides proactive security for AI/ML models and GenAI applications, addressing critical vulnerabilities like prompt injections, jailbreaks, and data leaks. With Guardian’s advanced real-time protection and AISpectra’s industry-leading threat detection, your AI models are fortified against even the most sophisticated attacks and emerging threats. Accelerate AI development and deployment with automated model discovery, dynamic vulnerability assessments, and scalable security integrations. AISpectra simplifies securing AI supply chains and enables real-time monitoring, freeing your teams to focus on innovation without worrying about security gaps. Stay ahead of evolving regulations and standards with comprehensive risk assessments and compliance reporting. Aligned with frameworks like OWASP and MITRE ATLAS, and NIST AIShield solutions simplify governance while ensuring your AI systems meet the highest security benchmarks. Our customers trust AIShield to secure their AI innovation. Here’s what they have to say. "I’ve worked with many security vendors, but AIShield stands out. They truly understand the challenges enterprises face during AI adoption. Their solutions don’t just check the boxes—they deliver real
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