What is AI Security
AI security protects models, training data, and agentic systems from prompt injection, poisoning, and unsafe autonomy — here's what it covers and how to build a program.
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 security protects models, training data, and agentic systems from prompt injection, poisoning, and unsafe autonomy — here's what it covers and how to build a program.
Pydantic v2 rewrote the core in Rust and changed validation semantics. Here is what that means for security-sensitive code, from input coercion to ReDoS exposure.
A technical reconstruction of the July 19 CrowdStrike Falcon sensor crash that grounded 8.5M Windows hosts, and what supply chain owners should change.
LLM security protects model weights, prompts, outputs, and the AI supply chain from injection, leakage, and compromise—here's what it covers and how to defend it.
Authorization decides what an already-verified identity is allowed to do. Learn how it differs from authentication, how permission checks work, and the models that power them.
How to extend SentinelOne's behavioral detection engine to cover build agents, package registries, and developer endpoints without drowning analysts in false positives.
The English-speaking social engineering crew behind MGM and Caesars keeps going after developers and help desks. Here's what I keep seeing.
A hands-on tutorial for producing a CSAF-VEX document that tells your customers which CVEs actually affect your product and which do not.
GDPR Article 32 and the EU Cyber Resilience Act look like separate regimes, but for any software handling personal data they converge at the component level. Here's where they overlap and where they diverge.
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