· Moshe
SBOMs in the Age of AI
Explore how SBOMs must evolve to address the challenges of AI-native software, focusing on data provenance, model lineage, and operational visibility for better governance.
· Codenotary Team
Why the U.S. Government Was Right to Suspend Anthropic's Mythos 5 and Fable 5
The U.S. government's suspension of Anthropic's Mythos 5 and Fable 5 raises vital concerns about cybersecurity, national security, and the need for better AI governance.
· Dennis
Securing AI Usage Where it’s Most Dangerous
Explore the operational risks of AI systems and how AgentMon enhances security through real-time monitoring and policy enforcement for safer AI interactions.
· Dennis
AI Agent Cost Monitoring: Track Spend Before It Spirals
AI agent cost monitoring with AgentMon: burn rate, oversized prompts, model routing, chargeback. Track LLM spend before it spirals into a finance incident.
· Dennis
AI Agent Performance Monitoring with OpenTelemetry
Traditional APM misses what's unique to AI agents, reasoning chains, backtracks, tool errors. AI agent performance monitoring with AgentMon, done right.
· Dennis
AI Agent Security: Stop Prompt Injection and Secret Leaks
Prompt injection, secret leaks, dangerous commands, MCP sprawl, five AI agent security risks and how AgentMon catches each one before production.
· Dennis
AI Agent Risk Monitoring: Runtime Visibility & Policy Enforcement
AI agent risk monitoring with AgentMon: score every agent's posture, surface shadow AI, and audit risky actions across your fleet from one Command Center.
· Dennis
From Game Agent to AI-Powered Security Remediation: Training a Deep Q-Network That Actually Works
We trained a Deep Q-Network to clear Level 14 of space invaders, a game 50x harder than the original. Here's how the same AI pipeline drives vulnerability detection, security remediation, and CVE threat modeling in production.
· Codenotary Team
AI Exploit Generation: How Reinforcement Learning Is Changing Cybersecurity
AI is revolutionizing cybersecurity by automating exploit generation and vulnerability management, shifting the balance between attackers and defenders.
· Dzmitry
Your AI Agents Already Have a Blind Spot. You Just Cannot See It!
AI agents can silently skip critical steps without errors or alerts, leading to degraded results and hidden risks. Learn how to detect these blind spots and why observability is essential for reliable agent workflows.
· Dennis
MCP's Dependency Problem, Solved in One Download
Run MCP anywhere without Node or Python. go-mcp-proxy is a single static binary that bridges stdio-based AI clients like Claude Code to HTTP/SSE MCP servers, perfect for secure, air-gapped, and production environments.
· Codenotary Team
Preventing AI Agents from Leaking Your Secrets
Learn how to prevent AI agents from leaking sensitive data with layered security protections, ensuring your AI remains helpful without compromising your secrets.