Expert analysis, hardening guides, and threat intelligence for the OpenClaw ecosystem. By Nasser Oumer — 20+ years in cybersecurity.
820+ malicious skills, 9 CVEs, 135K exposed instances. Comprehensive breakdown of every threat vector in the OpenClaw ecosystem.
Step-by-step hardening guide. From localhost binding to skill auditing — fix OpenClaw's insecure defaults in 45 minutes.
5-phase audit framework: code review, permission analysis, network behavior, prompt injection testing, and supply chain verification.
Technical breakdown of the ClawHavoc campaign: 335 malicious skills, AMOS infostealer, manufactured trust metrics, and defense strategies.
Analysis of Model Context Protocol security risks. How MCP servers create new attack surfaces for AI agent ecosystems.
Breaking down the OWASP Agentic AI Top 10 risks and how they apply to OpenClaw deployments in practice.
Scanner vs. human audit comparison. What VirusTotal catches and the 7 attack categories it misses entirely.
Direct comparison of ClawHub's open marketplace vs. curated, security-audited skill collections. Risk analysis and ROI.
Economics of trust in AI ecosystems. What a malicious skill costs you vs. what security-audited alternatives cost upfront.
How to use AI agent skills for OSINT safely. Permission requirements, data handling, and secure skill configurations.
Enterprise guide to deploying AI agents securely. Policies, controls, and frameworks for organizational AI adoption.
Everything you need to know about MCP server security in 2026. Risks, attack vectors, hardening steps, and real-world examples.
MCP servers introduce new attack surfaces for AI agent pipelines. Risks, threat models, and detection strategies for security teams.
Are MCP servers secure in 2026? We break down the real risks, what's been fixed, and what you still need to watch out for.
How cybersecurity teams are using MCP servers in 2026. 7 real use cases including threat intelligence, SOC automation, and incident response.
Apply zero trust principles to MCP server deployments. Step-by-step guide for securing AI agent pipelines in enterprise environments.
OpenClaw is a security-audited AI Skills Pack framework for autonomous agents. Learn what it is, how it works, and why security teams choose it.
Full breakdown of all 25 OpenClaw Skills Packs. What each pack does, which ones are right for your use case, and how to deploy them safely.
Security comparison of OpenClaw, LangChain, and AutoGPT in 2026. Which framework wins on prompt injection defense, MCP hardening, and production safety?
Prompt injection is the #1 threat to AI agents in 2026. How the OpenClaw framework detects, blocks, and mitigates prompt injection in production.
Don't deploy OpenClaw in production without this checklist. 15 critical steps covering security config, MCP hardening, monitoring, and incident response.
The definitive guide to AI agent security risks in 2026. Covers prompt injection, tool abuse, data exfiltration, supply chain attacks, and autonomous breach scenarios.
Step-by-step guide to auditing AI agent security. Skills inventory, prompt injection testing, MCP review, tool permission analysis, and audit reporting.
Step-by-step IR playbook for AI agent breaches in 2026. Detection, containment, forensics, recovery, and lessons learned for autonomous agent incidents.
OWASP guidance on agentic AI security. What the top 10 risks mean for your AI agent deployments and how OpenClaw addresses each one.
The best tools for securing AI agents in 2026. Frameworks, scanners, monitoring solutions, and Skills Pack auditors with honest pros and cons.