ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
593 articles
Taint Propagation: Griffin AI vs Mythos Approaches
Taint tells you whether attacker data actually reaches a sink. Griffin AI propagates it; Mythos-class tools infer it. The difference shows up fast.
MCP Server Discovery Protocol Security
MCP server discovery turns a client connection string into a live capability graph. The protocol mechanics that make this convenient also widen the blast radius when discovery is spoofed, tampered with, or silently reshaped mid-session.
Artificial Intelligence and Cyber Security: Risks and Benefits
A balanced look at what artificial intelligence and cyber security actually means in practice today, the concrete benefits teams are seeing and the new risks AI introduces into the same systems.
Hugging Face Pickle Backdoor Research 2025
Pickle-serialized model files remain a live attack surface on Hugging Face. Here is what 2025 research disclosed about persistent backdoors and what defenders should do about it.
Top AI Cybersecurity Companies to Watch in 2026
The top AI cybersecurity companies of 2026 span three distinct plays — AI-assisted detection, AI-native SOC automation, and AI-augmented AppSec — and the distinction matters when you're evaluating vendors.
Docker MCP Server: Setup and Security Considerations
Running a docker mcp server puts an AI agent's tool access inside a container boundary, which helps containment but doesn't remove the need to scope credentials and network access carefully.
Executive Guide to Operationalizing AI Governance
A 2026 look at why AI governance policies keep failing in practice—and the five-pillar operating model executives are using to fix it.
Securing AI/ML Pipelines: The Supply Chain You're Not Watching
AI/ML pipelines introduce unique supply chain risks from training data to model distribution. Most organizations have zero visibility into this attack surface.
MCP vs Skills vs Hooks vs Rules Explained
MCP, Skills, hooks, and rules extend AI coding agents in very different ways — two execute code, two only steer behavior. Here's how each one breaks.
ChatGPT and AI Security Implications for Software Supply Chains
The explosion of AI tools like ChatGPT is reshaping how developers write code — and introducing new supply chain risks that most teams aren't thinking about.
What is Auto-Remediation (AI-Powered Fixes)
Auto-remediation uses AI to generate and PR real fixes for vulnerabilities — not just flag them. Here's how it decides what's safe to auto-fix.
AI Agent Security Risks: Why Autonomous Systems Are the Next Supply Chain Frontier
AI agents are consuming APIs, installing packages, and executing code autonomously. The security implications are massive and largely unaddressed.
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