ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
593 articles
Jailbreak Meaning: What It Is in AI and Devices
Jailbreak has two meanings today: removing restrictions on a device, and tricking an AI model into ignoring its safety rules. This guide covers both.
Building an Eval Suite for Your Security LLM Workflows
If you use an LLM anywhere in your security program — triage, remediation, detection — you need an eval suite with the same rigor as your test suite. Here is a concrete harness: datasets, thresholds, CI gates, and drift detection.
AI in Network Security: Where It Actually Helps Today
AI in network security earns its keep in anomaly detection and alert triage today, not in autonomous response — here's the honest split between what's proven and what's still marketing.
What Is AI Jailbreaking? A Defender's Security Guide
To jailbreak AI means to bypass a model's safety guardrails with crafted prompts. Here is how the technique works and, more usefully, how to defend against it.
AI Chip Architecture: A Security Guide for Accelerated Compute
AI chip architecture shapes the security surface of accelerated compute. Here is how GPUs, TPUs, and NPUs are built and where the real risks live.
Zero-Day Discovery With LLM-Augmented Reachability: A Safeguard Engine Walkthrough
Pattern-matching scanners miss zero-days by definition. An engine that follows taint across package boundaries plus a model that hypothesizes exploit conditions can find what either would miss alone. Here is how that pipeline works end to end.
OWASP LLM Top 10 2025: System Prompt Leakage and Vector Weaknesses
The OWASP Top 10 for LLM Applications 2025 added System Prompt Leakage and Vector/Embedding Weaknesses, and elevated Sensitive Information Disclosure to #2. Here is the defender view.
MCP Security
MCP is standardizing how AI agents call tools, and attackers are already exploiting tool poisoning, rug pulls, and shadowing. Here's what MCP security actually requires.
Frontier LLM Vendors Are Not Your Supply Chain Security Vendor
Coding agents from OpenAI, Anthropic, and Google are excellent tools. They are also not supply chain security platforms, and the assumption that they can replace one is already producing expensive gaps.
AI-Driven Security: What It Actually Does for Application Security
AI-driven security is more than a buzzword bolted onto old scanners. Here's where machine learning genuinely helps triage, reachability, and detection — and where it quietly hurts.
MCP Meaning: What the Model Context Protocol Is and Why It Matters
The MCP meaning most people are asking about is the Model Context Protocol, an open standard that lets AI models connect to tools and data through one common interface.
Cybersecurity AI: Where It Genuinely Helps Today
A no-hype survey of where cybersecurity AI actually delivers measurable results right now, versus the applications still stuck in the demo stage.
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