How AI pentesting works and where it fits alongside SAST/...
AI pentesting explained: how autonomous agents test live apps, how it differs from SAST/DAST and Aikido's bolt-on approach, and where Safeguard fits in.
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.
AI pentesting explained: how autonomous agents test live apps, how it differs from SAST/DAST and Aikido's bolt-on approach, and where Safeguard fits in.
A 2026 blueprint for vulnerability management dashboards: which metrics belong on executive, manager, and engineer views, and how to avoid the common failure modes.
After 14 Rails audits in the last 12 months, the same eight issues kept surfacing. Here's the 2025 field checklist for Rails 7.2 and 8.0 enterprise apps.
A buyer's framework for evaluating SCA products in 2026: what to test, what to ignore in vendor pitches, and how to size the operational cost honestly.
A practical security baseline for API gateways in 2026, covering authentication, rate limiting, schema validation, observability, and the operational habits that keep gateways trustworthy.
Catching risky dependencies after they reach production is expensive. PR-time policy gates stop them at the cheapest moment, with the right context and reviewer attention.
How to scope a bug bounty program when most of your attack surface lives in third-party dependencies — with guidance on payouts, triage, and upstream coordination.
Security questionnaires have ballooned into 400-row spreadsheets that nobody reads carefully. Here is how to replace the ritual with evidence ingestion that actually changes vendor risk decisions.
Most breaches start with an asset nobody remembered owning. Continuous asset discovery is the foundation that every other control depends on.
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