Memory and Context Poisoning Attacks Against AI Agents
How attackers poisoned ChatGPT's memory and RAG pipelines to hijack AI agents long-term, and the controls Safeguard uses to catch it before it spreads.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
How attackers poisoned ChatGPT's memory and RAG pipelines to hijack AI agents long-term, and the controls Safeguard uses to catch it before it spreads.
A practical, no-fluff comparison of Kubernetes security scanning tools — CIS benchmark coverage, runtime detection, and where each real vendor falls short.
A 2026 look at Alpine vs. Debian base image CVEs shows raw vulnerability counts mislead — patch cadence and reachability matter more than distro choice.
A practical comparison of the best open source SCA tools — vulnerability coverage, license scanning, and CI/CD fit — with honest strengths and limitations for each.
How AI agents with code-execution tools get hijacked by prompt injection—from the Vanna.ai RCE (CVE-2024-5565) to LangChain and MCP—and what to do about it.
New industry data shows most production containers still run on stale, vulnerable base images months after fixes ship -- here's why, and how to close the gap.
A practical buyer's guide comparing top SAST tools for enterprise apps -- strengths, limitations, and how Safeguard unifies findings across your pipeline.
Agentic AI systems trust tools and models at runtime, not build time. Real 2024-2025 incidents show how MCP servers and AI packages become supply chain attack vectors.
2026 data shows container registry credential leaks accelerating as CI pipelines speed up — and why layer-aware scanning, not just final-image checks, is now essential.
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