protect --distro linux --machines 25 --free
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Releases, research and field notes on securing AI agents, Linux fleets and the software supply chain.
· Codenotary Team
Explore a comparison of Claude Sonnet and DeepSeek V4 Flash in automating S3 storage management, weighing speed against cost and coding styles.
· Simone
Explore a comparison of Claude Sonnet and DeepSeek V4 Flash in automating S3 storage management, weighing speed against cost and coding styles.
· Moshe
Explore how runtime enforcement enhances agentic security by evaluating every decision contextually and ensuring real-time policy compliance in autonomous systems.
· Moshe
As AI agents become more autonomous, traditional detection methods fall short. Explore the need for runtime security that adapts and mitigates risks in real time.
· Codenotary Team
SpaceX's acquisition of Cursor could reshape software development, enhancing AI capabilities and shifting developers' roles from coding to overseeing autonomous systems.
· Moshe
The rise of AI agents brings risks not from their actions but from unnoticed omissions. Discover the importance of observability in AI deployments for enterprise security.
· Moshe
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
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
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 with AgentMon: burn rate, oversized prompts, model routing, chargeback. Track LLM spend before it spirals into a finance incident.
· Dennis
Traditional APM misses what's unique to AI agents, reasoning chains, backtracks, tool errors. AI agent performance monitoring with AgentMon, done right.
· Dennis
Prompt injection, secret leaks, dangerous commands, MCP sprawl, five AI agent security risks and how AgentMon catches each one before production.
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