Real Incident Lessons
Understand exactly how exposed agent deployments were compromised and what changed after.
Security Briefing for Agentic AI
Deploy Agentic AI
Without Leaking Secrets
Everything you need to deploy agentic tools (Clawdbot/MCP) without leaking secrets. Learn from real incidents and harden your setup.
Free Security ResourcesUpdated RegularlyCommunity Driven
What You Get
A focused security playbook designed for teams shipping real agentic systems.
Operational Controls
Apply high-impact safeguards: auth, network isolation, secret handling, and rate limits.
Production Readiness
Use a practical checklist your team can adopt before every release.
See It in Action
Watch how ClawdContext helps teams deploy agentic AI without leaking secrets.
What Happened
A brief timeline of the Clawdbot security incidents that exposed critical vulnerabilities in agentic AI deployments.
01
Viral Launch
Viral Launch - Clawdbot gained massive popularity with thousands of deployments worldwide
02
Security Crisis
Security Crisis - Multiple instances found exposed with admin panels accessible publicly
03
Attacks Escalate
Attacks Escalate - Prompt injection attacks, API exploitation, and secret extraction discovered
10-Point Hardening Checklist
Essential security checks before deploying any AI agent with tool access.
- 1No admin ports exposed to the internet (use VPN/tunnel)
- 2All endpoints require authentication (no default credentials)
- 3Secrets stored in vault/env, never in code or logs
- 4Rate limiting on all API endpoints
- 5Comprehensive logging with alerting on suspicious activities
Latest from the Blog
Research-backed analysis, tools, and breaking news on agentic AI security.
analysis11 min
Your AI Agent Has 200K Tokens of RAM — And You're Wasting 80% of It
Every OS designer since the 1970s knows: you don't load the entire filesystem into RAM at boot. Yet that's exactly what most AI agent setups do with their context window. Here's the isomorphism that changes everything.
Feb 25, 2026analysis9 min
Why Your AI Agent Instructions Are Attacking Your Own Code
The AGENTS.md paper proved that instruction files reduce task success rates. That's not a bug — it's autoimmune disease. Here's the biological model that explains agent instruction drift.
Feb 25, 2026analysis10 min
The Three-Body Problem of AI Agent Instructions
In physics, the three-body problem has no general solution. In agent architecture, three instruction sources create the same kind of chaotic orbit. Here's the physics and the fix.
Feb 25, 2026📧
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