Should an AI agent be allowed to suppress security findings?
An AI agent can draft a suppression with evidence, but a human should approve it. What agents may propose, what they may not do, and how to audit 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.
An AI agent can draft a suppression with evidence, but a human should approve it. What agents may propose, what they may not do, and how to audit them.
Yes: point coding agents at the same templates, registries and merge gates as people. How to set it up, what to log and where agents need own limits.
Splitting read tools from write tools into separate servers and identities makes least privilege easy to enforce. When it pays off and when it is overkill.
A shared key gives everyone the same access, while per-user OAuth ties access to a person. Compare both for security connectors, with a table to decide.
A vendor-hosted agent sandbox hands isolation to the provider. A self-hosted one hands it to you. What each choice changes for egress, secrets, evidence.
Data and ML engineers need security training on data handling, notebook and pipeline hygiene, third party model and package risk, and access control.
Developers building LLM apps and agents need training on prompt injection, output handling and excessive agency. Topics from the OWASP LLM Top 10 2025.
Ten vendor-neutral questions to ask before trusting an AI assistant to run tasks on a schedule: where it runs, who it acts as, and how failures surface.
Buyers now ask whether an SBOM covers AI components. What the 2026 CISA guidance says, what a startup can list today, and what to leave unclaimed.
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