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.
Handling zero days means watching feeds, mapping them to your software and acting fast. Weigh what to build in house and what to buy before you choose.
Attack surface management means finding every place an attacker could get in, keeping that list current and shrinking it. What it covers and how to start.
Agent identity gives each AI agent its own verifiable identity, owner and permissions, so you can tell what it did and cut it off without side effects.
Guardrails are enforced rules limiting what AI agents and pipelines can do, like which tools to call or which builds ship. What they are and how to start.
Buyer criteria for guardrails on AI agents and CI/CD: where they enforce, what they block, how exceptions work and what evidence they leave. No ranking.
Twelve questions for a vendor of guardrails for AI agents and software delivery: enforcement point, failure mode, evidence, data handling and exit terms.
A four stage maturity model for guardrails on AI agents and software delivery, from written rules to enforced, measured policy, with proof items per stage.
Guardrails for AI agents and pipelines block bad changes. Vulnerability management finds them. See how the two connect with your supply chain program.
Measure guardrails by what they stop, how often people bypass them and how fast you can revoke access, not by how many rules or alerts you have.
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