The Evolution of Work

While there are benefits to the RTO model, a return to the office introduces its own security concerns.

Human in the loop governance can support AI-driven test automation that reconciles contracts with technical implementation.

Container security concepts can be applied to ML DevSecOps pipelines to identify AI supply chain risk considerations.

As AI agents take on a greater share of operational roles, organizations require an agentic AI-ready governance model.

AI risk must be integrated into established operational risk thinking and quantitative cyberrisk governance approaches.

Enterprise browsers provide a means to enforce policy, strengthen compliance, and operationalize zero trust in hybrid environments.

COBIT can serve as a guide for using AI-powered audits to empower governance and decision making.

One organization replaced its brittle, risky secrets management approach with a flexible, business-aligned one.

The language of security must be adapted for use with AI, because AI does not have controls. Instead, it has guardrails.

To be relevant and trusted in the digital ecosystem means staying up to date on current offerings and expectations.

ITAF provides a timely lens for aligning audit and assurance practices with how work and risk operate in the digital workplace.