Publications

A practical framework for comparing manual, in-house, and continuous red teaming of AI agents across coverage, cost, staffing, and compliance needs.

This post maps the six threat actors your red team should be simulating, the five expertise domains required to find them, and the uncomfortable math showing most teams cover only 20% of the actual attack surface.

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.

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.

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 next data breach.

In the past 30 days, MITRE, cybersecurity vendors, and independent researchers documented seven distinct attack paths against OpenClaw AI agents. Here is what happened in each case, what was at stake, and how defenders can respond.

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.