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AI Security

AI Code Security Solutions: What to Evaluate Before Buying

AI code security solutions range from AI-assisted scanning to AI-generated fixes — here's what to actually test before trusting one with your pipeline.

May 6, 20266 min read
AI Security

What Is an AI Accelerator, and What Are Its Security Risks?

An AI accelerator is hardware built to speed up machine learning math. Once you offload models onto one, the security work shifts to the software and data around it.

May 6, 20267 min read
AI Security

Model Weights as Supply Chain Artifacts: Signing and Provenance

A 4 GB safetensors file deserves the same signing, hashing, and provenance discipline as a container image. How to actually do it with Sigstore, OCI registries, and AIBOMs.

Apr 26, 20266 min read
AI Security

AI Coding Assistant Security: 2026 Buyer Comparison

A security-focused buyer comparison of AI coding assistants in 2026: code quality risk, data exfiltration controls, license exposure, and policy enforcement.

Apr 25, 20265 min read
AI Security

The State of Agentic AI Adoption report

New survey data on the state of agentic AI adoption shows enterprises racing to deploy autonomous agents faster than security teams can govern them.

Apr 25, 20268 min read
AI Security

AI Trust Report: developer sentiment on AI-generated code

Safeguard's 2026 AI Trust Report surveyed 1,412 developers and finds 91% use AI coding tools weekly, but only 34% trust the code it produces.

Apr 24, 20268 min read
AI Security

LLM Jailbreak Defense Architectures in 2026

Jailbreaks against frontier models keep getting more sophisticated. The defense architectures that have proven durable, and the ones that get bypassed in weeks.

Apr 22, 20266 min read
AI Security

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.

Apr 22, 20265 min read
AI Security

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.

Apr 22, 20268 min read
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