Toward Responsible AI-Augmented Cyber Defense: Pattern Recognition, Defense-In-Depth, and the Case for Human-AI Collaboration

Cybersecurity literature has extensively documented the operational benefits of artificial intelligence AI for threat detection, incident response, and prevention, while raising qualitative concerns about over-automation, algorithmic bias, and analyst-skill erosion. What remains largely absent is...

Trust but Verify? Uncovering the Security Debt of Autonomous Coding Agents

The increasing adoption of autonomous coding agents accelerates software development but also introduces scoped security risks within high-impact file paths that can outpace traditional human review capacity. While prior research has primarily evaluated these systems in terms of functional...