ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
593 articles
Which AI Enabled Tools Should I Use (dtrgstech): A Security Guide
A practical framework for deciding which AI-enabled tools you should actually adopt, weighed against the data-exposure and supply chain risks they introduce.
AWS Bedrock Guardrails for Agent Workloads: A Defender's Walkthrough
Bedrock Guardrails now span prompt filtering, contextual grounding checks, and tool-use policies. We trace how they fit into a supply chain threat model for production agents.
AI Python Code Correctors: What They Catch and What They Miss
AI Python code correctors fix syntax and obvious bugs fast, but they miss the security and correctness issues that matter most. Here is where they help, where they fail, and how to use them safely.
AI-BOM and ML-BOM: The State of Standards in 2026
Where AI-BOM and ML-BOM specifications stand in 2026, which formats have real adoption, and what to capture today even if the standards are still in motion.
GenAI Code Assistants and Package Hallucination: 2026 Update
LLM-suggested package names that do not exist are a registered attack vector in 2026. Here is where hallucination rates sit today and how to contain them.
AI Chips Explained: What They Are and How to Secure Them
AI chips are specialized processors built to run matrix math at scale, and the way you provision, share, and supply-chain-source them creates security risk most teams never model.
Prompt Injection Defences: Griffin AI vs Mythos
Prompt injection is the defining AI security problem of this generation. The defences are structural, not cosmetic — and the architectural choices show.
Proof-Of-Concept Payloads From Discovered Paths
A taint path is not an exploit. Here is how a zero-day pipeline turns a reachable flow into a defensible proof-of-concept payload without inventing a vulnerability.
Enterprise AI Metric Design For Executive Reporting
AI-for-security metrics that show up on board slides are different from the ones engineers use day-to-day. Designing both sets properly is the work.
MCP Client-Side Security Considerations
The MCP client surface is often overlooked. We examine trust boundaries, schema handling, credential storage, and safe defaults for the agent side of the protocol.
Prompt Injection Defence Stack 2026
No single control stops prompt injection. The current state of the art is a defence-in-depth stack with controls at five distinct layers. Here it is.
Vector Database Poisoning Trend Watch
Vector databases are now central infrastructure for retrieval-augmented AI. The 2026 attack trend targets the index itself, not the model — and most defenders are not watching the right layer.
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