Association for Software Testing

Multi-agent pipelines present hidden security risks because traditional test suites only verify final text outputs while ignoring intermediate steps. This episode examines Decoy-Grounded Trajectory Auditing, a method that uses monitored honey resources and execution trace logs to catch unauthorized agent behaviors. Software testers will learn why combining text-only and trace...

Today’s episode explores the structural shift toward zero-trust containment and infrastructure-level verification for AI agents. We analyze the severe security gaps present in multi-agent pipelines and discuss how QA teams must adapt by utilizing deep-inspection tools and establishing interception proxies. The focus is pivoting from evaluating a model’s generalized intelligen...

Generative AI models frequently produce tests that pass syntactic checks while missing deep business logic flaws. This episode examines why static test generation creates stealth technical debt and outlines how testers can transition to an execution-backed adversarial audit approach.

The post

This episode examines new federal AI cybersecurity review windows that impact release velocity, difference-cache architectures solving the time-travel problem in agent evaluation, and empirical data showing that LLMs ignore code documentation. We also explore a four-year longitudinal study validating deterministic, flowchart-driven testing methodologies.

The post

I’m the Conference for the Association for Software Testing (CAST 2026) this week, which has a workshop day followed by two conference days. This raises a question, What is a […]

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