AI-Based Security: What the Label Actually Means on a Product Page
AI-based security is used to describe everything from a genuinely trained detection model to a marketing rewrite of a rules engine. Here's how to tell what you're actually buying.
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-based security is used to describe everything from a genuinely trained detection model to a marketing rewrite of a rules engine. Here's how to tell what you're actually buying.
Direct and indirect prompt injection are different attack vectors with different blast radii. Real 2025 CVEs like EchoLeak show why the distinction matters.
Dropbox's 2022 GitHub phishing incident began with a developer-targeted CircleCI lookalike campaign; the supply chain lessons centered on CI tokens and code.
What is Rekor? It's the public, immutable transparency log at the heart of Sigstore that records software signing events for tamper-evident verification.
How modern coverage-guided fuzzing finds real vulnerabilities in open-source dependencies, and how to fold it into a supply-chain security program.
A security-focused look at Drone CI: runner isolation, secret handling, plugin risks, and the differences between Drone OSS, Enterprise, and the Harness transition.
LLM jailbreaking bypasses AI safety guardrails through techniques like DAN prompts, Crescendo, and Skeleton Key — here's how it works and how to defend against it.
A Merkle tree is a hash-based data structure that lets transparency logs prove data integrity efficiently, using Merkle proofs and certificate transparency.
Auto-Fix generates pull requests that update vulnerable dependencies with compatibility checks, test validation, and rollback safety. Remediation at the speed of disclosure.
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