The autonomous trust layer for the AI agent economy. AI-powered. 5 layer defense. Everything managed by your AI CISO™ | 2x #2 Product Hunt
Neural Networks
Joined February 2026
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open-webui by open-webui just cleared a ClawSecure Watchtower re-scan for a user monitoring it. Score: 95/100, Safe. The findings that did surface are minor.
Same skill. Same agent. Two very different installs: with an AI CISO and without one.
Without an AI CISO:
🔵 The agent installs whatever it found
🔵 It gets every permission it asks for
🔵 Keys end up hardcoded in a config
🔵 Nobody notices what changes later
With Claw from ClawSecure:
🔵 The install is intercepted before anything runs
🔵 It's checked against thousands of audited agent components
🔵 You see the risk in plain language, and you decide
🔵 Setup is scoped: only the permissions and folders it needs, keys in environment variables
🔵 Behavioral security rules keep watching after install
Same skill. Different outcome. The first-ever AI Chief Information Security Officer for AI agents.
A user is monitoring wacli by steipete, and its latest ClawSecure Watchtower re-scan came back clean: 95/100, Safe. The findings that did surface are minor.
Watchtower re-scan just re-verified imsg by steipete for a user monitoring it on ClawSecure. Score: 95/100, Safe.
goplaces by steipete just cleared a ClawSecure Watchtower re-scan for a user monitoring it. Score: 95/100, Safe. One medium finding worth a look, nothing that changes the verdict.
Your agent runs on code you didn't write.
MCP servers, CLI tools, skills and packages keep changing after install. Watchtower keeps auditing thousands of agent components against 55+ threat patterns, so drift in code, configs or dependencies gets flagged.
A user is monitoring gogcli by openclaw, and its latest ClawSecure Watchtower re-scan came back clean: 95/100, Safe. One medium finding worth a look, nothing that changes the verdict.
You should not need a security team to trust your agents.
ClawSecure audits MCP servers, CLI tools, skills, and npm packages against 55+ threat patterns, then Watchtower keeps monitoring them for changes. Zero expertise required.
Who reviews your agent components today?
Watchtower re-scan just re-verified songsee by steipete for a user monitoring it on ClawSecure. Score: 95/100, Safe.
Agents trust each other too easily.
OWASP calls it insecure inter-agent communication. With no authentication or integrity checks between agents, a spoofed or tampered message reads like a real order.
Know every agent component in the chain before it can give orders.
Watchtower re-scan flagged remindctl by steipete, a skill a user is monitoring. ClawSecure scored it 57/100, Warning, 8 findings across obfuscation and prompt injection.
Just audited osiris by danielkrupinski.
Checked against 55+ threat patterns before install. Verified.
Skills, MCP servers, CLI tools, npm packages. Every agent component deserves that check before it touches your stack.
Zero expertise required.
superpowers by obra just cleared a ClawSecure Watchtower re-scan for a user monitoring it. Score: 95/100, Safe. The findings that did surface are minor.
Read an MCP server's tool descriptions before connecting.
Your agent reads that text as instructions. One hidden line can tell it to pull your SSH keys into a tool call, and nothing in the chat would show it.
A user is monitoring claude-ansible-skills by leogallego, and its latest ClawSecure Watchtower re-scan came back clean: 95/100, Safe. The findings that did surface are minor.
Just audited Hello-World by octocat. It checked out.
Scan before you install. That one habit keeps your agent stack clean, whether you're adding skills, MCP servers, or CLI tools. Thousands of agent components audited, 55+ threat patterns, zero expertise required.
One of our attacks failed, and we published that too.
For our AI Agent Threat Report, our team at ClawSecure attacked @Dropbox Dash across five surfaces. Four cracked. The fifth tested clean, so the report says so.
A report that only lists wins is marketing. ClawSecure reports the clean negatives as carefully as the breaks, because a finding is only worth something if you can trust what was left out.
Link in the first reply.
Treat every tool response as untrusted input.
MCP servers, CLI tools, and web fetches can return text that reads like instructions. Keep tool output separate from what your agent is told to do, because one poisoned response can quietly steer its next action.
Our Founder and CEO, J.D. Salbego, contributed one of the AI safety controls in the Cloud Security Alliance's (@cloudsa) new paper: defenses against prompt injection.
CSA now lists "prompt and output defenses" among the five controls a fleet of AI agents needs before a VulnOps pilot starts. How do you know they're in place? You test them.
We did. In ClawSecure's AI Agent Threat Report, every one of the 14 AI models we tested could be hijacked by a hidden instruction. The best still obeyed about 1 in 4 times.
The report: clawsecure.ai/research/ai-ag…