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AI Security

How Copilot amplifies insecure codebases

Copilot writes ~46% of code where enabled, and studies show ~40% of its security-relevant suggestions are vulnerable. Here's the data on the risk.

Jun 12, 20266 min read
AI Security

AI-Generated Code Security: risks and controls

AI now writes up to 40%+ of new code, and models hallucinate nonexistent packages in 5-22% of outputs. Here's why Black Duck-style SCA misses that risk, and what controls actually work.

Jun 12, 20267 min read
AI Security

5 best practices for adopting GitHub Copilot securely

GitHub Copilot has 1.3M+ paid seats. Five concrete, evidence-based practices for locking down content exclusion, licensing, code quality, and prompt injection risk.

Jun 12, 20267 min read
AI Security

AI hallucinations and their security implications for developers

LLMs hallucinate nonexistent packages in up to 1 in 5 code samples — and slopsquatting attacks are already exploiting that predictability in the wild.

Jun 12, 20266 min read
AI Security

GenAI Code Review Tools: A 2025 Field Test

We field-tested five GenAI code review tools against 240 seeded security defects to see which catch real issues and which hallucinate findings.

Jun 11, 20264 min read
AI Security

Supply Chain Attacks Targeting AI/ML Pipelines

AI and ML pipelines introduce unique supply chain risks -- from poisoned training data to compromised model registries. Here is what attackers are targeting and how to defend.

Jun 11, 20267 min read
AI Security

Open-Weight Model Sandboxing Patterns

Running an open-weight model inside an enterprise perimeter seems safer than calling a hosted API. It is, and it isn't. The sandboxing patterns that actually produce the safety properties.

Jun 10, 20266 min read
AI Security

Security in AI Systems: What Actually Changes

Security in AI systems isn't a wholly new discipline, but prompt injection, training data provenance, and model supply chains introduce risks traditional AppSec tooling wasn't built to catch.

Jun 10, 20265 min read
AI Security

Introducing Agentic Development Security (ADS)

As AI agents now author up to half of production commits, Safeguard introduces Agentic Development Security (ADS) — a new framework for securing autonomous coding.

Jun 10, 20267 min read

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