ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
593 articles
Fine-Tune Backdoors: The Quiet Threat
Fine-tuning a model on an attacker-controlled dataset can implant behaviour that only activates under specific conditions. The threat is quiet because detection is hard.
Zero-Day Discovery Economics: Cost Per Find
The economics of zero-day discovery have been opaque for too long. Here is the actual cost structure of finding a real, defensible bug, and how to think about it.
AI Code Checker: What It Catches and What It Misses
An AI code checker uses a language model to review code for bugs and security issues. Here is where it genuinely helps and where trusting it blindly bites you.
The Full Form of MCP: What Model Context Protocol Means for Security
The full form of MCP is Model Context Protocol, the open standard that lets AI models talk to tools and data. Here is what it is and where the security risks live.
AI Agent Blast Radius Management
Every agent in production has a blast radius. Most teams have not measured theirs. Here is how to measure it and how to bring it under control.
AI-BOM Becoming Mandatory: Regulatory Trend
AI bills of materials moved from voluntary best practice to regulatory requirement in 2026. Multiple jurisdictions now require disclosure of model, data, and component lineage for high-impact AI systems.
State of AI Security in Enterprise 2026
Where enterprise AI security actually stands in 2026: model supply chain risks, agent threats, governance gaps, and the controls that measurably reduce exposure.
AI Acceleration and Security: What Faster AI Means for Your Threat Model
AI acceleration is compressing both software delivery and attacker tradecraft. A security look at what changes when AI speeds up your pipeline and theirs.
Remediation Prioritisation With Reachability And EPSS
CVSS alone is a bad prioritisation signal in 2026. Reachability plus EPSS gives teams a defensible order to fix the vulnerabilities that actually matter.
MCP Authentication Patterns for Enterprise
Enterprise MCP deployments need more than a static API key. The protocol is evolving toward OAuth 2.1 and dynamic client registration, and understanding which pattern fits which workload decides whether your rollout survives the first audit.
Enterprise AI Red Team Program Design
AI red teaming is not a one-off exercise. Programmatic red-teaming of AI systems requires specific structure — and most organisations don't have it yet.
The Reproducibility Crisis In AI Security Evals
ML research has a reproducibility crisis. AI security evaluation inherits it. Vendors publishing numbers that can't be reproduced are the norm — not the exception.
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