Alex Polyakov, Adversa AI co-founder and CTO, was recognized as one of AI Security Hub’s top 10 AI security thought leaders.
Top MCP security resources — January 2026 As the Model Context Protocol becomes the de-facto standard for connecting AI agents to external data and tools, the security community is pivoting to address its unique attack surface. This month, we have seen an influx of research into metadata poisoning and specific ...
Cascading failures in agentic AI: the definitive OWASP ASI08 security guide A Comprehensive Technical Reference for Security Professionals, Architects, and Risk Managers Table of contents Introduction: understanding cascading failures in agentic AI Why cascade prevention matters for agentic AI security Anatomy of agentic AI cascading failures Temporal patterns of cascading ...
Agentic AI Security Resources – December 2025 As AI agents become increasingly autonomous—browsing the web, executing code, and making decisions with minimal human oversight—the security landscape is rapidly evolving. Agentic AI introduces new attack surfaces, from prompt injection vulnerabilities to over-privileged tool access. This digest compiles the most critical resources ...
GenAI Security: Essential Resources for December 2025 Generative AI has rapidly become ubiquitous in business applications, and the installed base of AI assistants already exceeds one billion users. Security considerations for this wide adoption range from sophisticated prompt-injection attacks to novel side-channel vulnerabilities, and the threat landscape for AI systems ...
December 2025 MCP Security Digest As the Model Context Protocol (MCP) celebrates its first anniversary, security has emerged as the critical foundation for the agentic AI ecosystem. MCP enables AI models to connect with external tools, data sources, and applications—but this powerful capability introduces new attack surfaces that organizations must ...
GenAI Security: Essential Resources for November 2025 As generative AI rapidly transforms business operations and development practices, security considerations have become paramount. From sophisticated prompt injection attacks to data exfiltration vulnerabilities, the threat landscape for AI systems continues to evolve at an unprecedented pace. This digest compiles 25 critical resources ...
Agentic AI Security: A Comprehensive Resource Digest As artificial intelligence agents become increasingly autonomous and integrated into critical business operations, the security landscape is evolving rapidly. Agentic AI systems—capable of making decisions, executing tasks, and interacting with external systems—introduce unique vulnerabilities that traditional security frameworks weren’t designed to address. From ...
Introduction The Model Context Protocol (MCP) has rapidly emerged as a critical framework for AI agent communication and integration. As MCP adoption accelerates across enterprise environments, security considerations have become paramount. With agents handling sensitive data, executing commands, and bridging multiple systems, the attack surface has expanded significantly. This digest ...
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