IntendedBehavior
Cyber/AI Research | Intended Behavior Vulnerability Database
Exploring Microsoft Copilot's Agentic Infrastructure (with Adversarial Prompting and Feature Abuse)
Exploring Microsoft Copilot's Agentic Infrastructure (with Adversarial Prompting and Feature Abuse)
2026-06-18 by Admin

This exploration reveals how different Copilot implementations can be manipulated to expose detailed information about their agentic systems, from container configurations and skill definitions to orchestrator logs and cost structures. While Microsoft characterizes much of this behavior as "expected or by-design" within their sandboxed environments, it provides researchers an unprecedented window into how these complex agentic systems actually operate, how they evolve, and how they are secured.

The Hidden Cost of 'Intended Behavior': When Security Flaws Are by Design
The Hidden Cost of 'Intended Behavior': When Security Flaws Are by Design
2026-05-07 by Admin

From admin tools that enable RCE to AI systems leaking knowledge bases, developers often dismiss critical flaws as 'features.' But when 'intended behavior' becomes a liability, who pays the price? This deep dive exposes how maintainers decide which risks are worth fixing, and why users deserve better.

Willingness vs. Ability in AI-Powered Exploitation: The Cybersecurity Arms Race
Willingness vs. Ability in AI-Powered Exploitation: The Cybersecurity Arms Race
2025-05-10 by Admin

Frontier AI models dominate headlines, but open-source AI is quietly revolutionizing cybersecurity. Explore the 'willingness vs. ability' divide, where uncensored models uncover vulnerabilities faster than ever, and how this shifts the cybersecurity landscape.