Weak Model Provenance: Trust Without Proof A critical weakness in today’s AI model landscape is the lack of strong provenance mechanisms. While tools like Model Cards and accompanying documentation attempt to offer insight into a model’s architecture, training data, and intended use cases, they fall short of providing cryptographic or verifiable proof of the model’s …
Explainable AI refers to methods and techniques that make the decision-making processes of AI systems comprehensible to humans. Unlike traditional software with deterministic logic, most AI models learn patterns from data, making their internal workings difficult to understand.
The Evolution of Continuous Threat and Exposure Management (CTEM) In a world where cyber‑adversaries continually refine their tactics, security programmes must evolve from episodic testing to an unbroken cycle of detection, analysis and remediation. Continuous Threat and Exposure Management (CTEM) represents this paradigm shift, transforming how organisations perceive and manage risk. This blog unpacks CTEM’s …