A practical guide to the OpenClaw threat model
OpenClaw AI agents sit on top of your files, credentials, and inbox. Here’s what the threat model looks like, and what SecureClaw does about it — explained for engineers and executives alike.
OpenClaw AI agents sit on top of your files, credentials, and inbox. Here’s what the threat model looks like, and what SecureClaw does about it — explained for engineers and executives alike.
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” ...
SecureClaw is the first comprehensive open-source security solution tailored for OpenClaw agents, with 50 audit checks, automated hardening modules, and lightweight behavioral rules.
February’s GenAI security digest highlights practical attacks on production AI systems. Explore over 40 resources covering indirect prompt injection in Google Gemini and Perplexity, new jailbreak techniques like “Semantic Chaining,” and the latest defense frameworks for 2026.
Explore the top 19 MCP security resources for February 2026, including the new CoSAI security framework, confirmed RCE vulnerabilities in Anthropic’s Git MCP server, and emerging attack vectors like tool poisoning.
Everything you want to know about OpenClaw/ Moltbot/ Clawdbot security — architectural weaknesses, vulnerabilities, and multi-tier hardening strategies for individuals and organizations.
Our February 2026 digest analyzes notable Agentic AI security developments, including critical vulnerabilities like BodySnatcher and ZombieAgent, offering over 50 essential resources, frameworks, and tools to help CISOs and security engineers defend the new agentic perimeter.
The GenAI security landscape entered 2026 with urgent warnings from global agencies and breakthrough research. CISA and international partners released comprehensive frameworks for securing AI in critical infrastructure, while researchers discovered that AI-generated code now shows 1.7x higher bug density than human-written code. Major stakeholders, including the UK NCSC and ...
The security landscape is shifting rapidly as AI transitions from passive helper models to autonomous agents capable of executing code and manipulating external tools. This month’s digest highlights a critical pivot: vulnerabilities are moving from simple text manipulation to complex systemic exploits, such as the Anthropic tool-selection exploit and the ...