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.
An AI factory is the industrialized pipeline that turns data and compute into deployed models at scale. Treating it like a factory means securing every stage, not just the model.
To mitigate supply chain attacks, you secure everything you did not write: dependencies, build systems, and the pipeline that ships your code. Here is how.
AI in network security earns its keep in anomaly detection and alert triage today, not in autonomous response — here's the honest split between what's proven and what's still marketing.
When people search for container security Gartner coverage, they usually mean the CNAPP Market Guide. Here is what Gartner's framing says about securing containers.
To jailbreak AI means to bypass a model's safety guardrails with crafted prompts. Here is how the technique works and, more usefully, how to defend against it.
AI chip architecture shapes the security surface of accelerated compute. Here is how GPUs, TPUs, and NPUs are built and where the real risks live.
Pattern-matching scanners miss zero-days by definition. An engine that follows taint across package boundaries plus a model that hypothesizes exploit conditions can find what either would miss alone. Here is how that pipeline works end to end.
MCP is standardizing how AI agents call tools, and attackers are already exploiting tool poisoning, rug pulls, and shadowing. Here's what MCP security actually requires.
OWASP's Top 10 for LLM Applications reframes AI risk around prompt injection, data poisoning, and supply chain gaps that container-only tools like Aqua can't reach.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.
