Cascading Failures in Multi-Agent AI Architectures
One compromised agent can poison an entire pipeline in seconds. Heres how cascading failures spread through multi-agent AI systems, and how to contain them.
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.
One compromised agent can poison an entire pipeline in seconds. Heres how cascading failures spread through multi-agent AI systems, and how to contain them.
A fair comparison of SLSA compliant build systems—GitHub Actions, Cloud Build, GitLab, Tekton Chains—with real strengths and limitations for Build Level 3.
Cryptomining malware keeps resurfacing in public Docker images. Here's how attackers hide miners in plain sight — and how to catch them before they run.
Multi-agent AI pipelines pass untrusted content between agents with no authentication or integrity checks. Here's how insecure inter-agent communication opens the door to injection attacks.
A practical, no-hype comparison of software supply chain attestation tools — in-toto, Sigstore, GUAC, GitHub, JFrog, and Chainguard — plus how to pick the right fit.
Attackers are cloning popular Docker Official Images under lookalike names, tricking `docker pull` into fetching malware instead of trusted base images.
AI agents can call themselves into runaway loops, burning thousands of dollars and crashing services. Here's why it happens and how to stop it.
A practical comparison of container image scanning tools — Trivy, Grype, Snyk, Docker Scout, Clair, and Anchore — with real strengths, limits, and how to pick one.
Container images have become the software supply chain's most contested attack surface. A look at the xz-utils backdoor, registry-borne malware campaigns, and the detection gaps behind them.
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