AppSec

AppSec (Application Security) refers to the practices and processes of identifying, fixing, and preventing security vulnerabilities throughout the software development lifecycle. For AI governance, AppSec becomes critical because AI applications must be protected against model poisoning, adversarial attacks, and unauthorized access to training data and model parameters. Enterprise teams need AppSec frameworks to ensure that AI systems maintain data integrity, prevent malicious model manipulation, and comply with security requirements across regulated industries.

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ResearchGlobal2026-08-28

llama.cpp Flaws and 56% AI Code Failure Rate Expose SDLC Control Gaps

Researchers identified ten vulnerabilities in llama.cpp, a widely used runtime for self-hosted AI models, including two high-severity server flaws. Separately, Veracode found that AI-generated code passed automated security checks only 56% of the time. Together, the findings expose material weaknesses in how enterprises govern self-hosted model infrastructure and AI-assisted software development.

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