Craig Anderson

The boundary between professional software development and malicious cyber warfare has virtually vanished as threat actors repurpose sophisticated AI-driven coding environments to accelerate their destructive workflows. This evolution signifies a shift from static scripts toward dynamic, agent-based architectures that can interpret environment variables in real-time. This review analyzes the emergence of these autonomous agents, specifically those derived from tools like

A single neglected update on a remote support workstation can silently transform a trusted digital lifeline into a direct corridor for sophisticated threat actors. While the convenience of remote desktop software remains undisputed in the current landscape of decentralized operations, the security perimeter often relies on the assumption that these tools are inherently impenetrable. However, the emergence of a high-severity

The TRACE framework closes the transparency gap by linking hardware-backed receipts directly to the specific software executed by an AI agent. As autonomous agents increasingly manage high-stakes financial transactions and sensitive legal workflows, the lack of a verifiable audit trail has become a critical bottleneck for widespread institutional adoption. This approach moves beyond simple logging by utilizing cryptographic proofs generated