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 key to securing your digital workforce is the “least agency” ...
The OpenClaw story proves that agentic AI security will be more challenging than traditional application security. With SecureClaw, we offer a practical open-source solution mapped to five major security frameworks to help enterprises stay compliant from day one.
A detailed, practical guide to unintended code execution in agentic AI systems, covering risk profiles, attack vectors, and concrete mitigations for security teams and architects.
How we extracted the Opus 4.6 system prompt the day after its release and what we learned about the model’s security constraints and guardrails.
Everything you want to know about OpenClaw/ Moltbot/ Clawdbot security — architectural weaknesses, vulnerabilities, and multi-tier hardening strategies for individuals and organizations.
Traditional chatbot red teaming leaves 85% of the agentic AI attack surface exposed. Learn what action risk entails, explore key agentic threats like memory poisoning and tool hijacking, and understand why securing agents demands a fundamentally different approach than securing LLMs.
MCP is becoming ubiquitous in agentic AI toolchains, but it places a non-deterministic LLM at the center of security-critical decision-making. The CoSAI white paper reveals more than 40 MCP threats that most organizations aren’t addressing and proposes controls and mitigations.
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 ...
AI Reasoning Leakage Vulnerability: Self-betrayal attack UAE MBZUAI G42 K2 Think Executive Summary A critical vulnerability has been identified in advanced reasoning system of just released latest reasoning model by UAE’s Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in collaboration with G42 where the model’s internal thought process inadvertently exposes ...
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