TPRM must transform from being viewed as additional overhead to a true value-add for the enterprise.

In the emerging technology era, safeguarding neural data and securing cognitive function are nonnegotiables.

Secure by default certification can help shift security assurance upstream into shared engineering building blocks.

The Digital Confidence Framework can help enterprises make cybersecurity decisions that support business continuity, trust, and long-term value.

Quantum computing will soon test the durability of every organization’s promise to safeguard information.

CMMC compliance is not simply checking a box.

Organizations can prepare for a controlled post-quantum transition by adapting CSfC principles to improve cryptographic resilience.

A robust TPRM program requires that organizations move away from checklist-style vendor risk management and toward third-party cyberresilience.

Explore how Claude Mythos is reshaping cybersecurity with AI-driven threat detection, raising new challenges for defenders.

As AI and its impacts continue to evolve, approaches to governance and risk management must evolve

Every build and deployment carries an energy cost and a carbon footprint.

Explore SBOMs, supply chains and more.

ITAF, 5th Edition, is a comprehensive framework that establishes standards that address IT audit and assurance practitioners’ roles and responsibilities, ethics, expected professional behavior, and required knowledge and skills; defines terms and concepts specific to IT audit and assurance; and provides guidance and techniques for the planning, performing and reporting of IT audit and assurance engagements.

This AI Impact Assessment Tool is designed to help enterprises consider the possible ethical consequences associated with their AI projects.

The cyberrisk agent (CRA) can accelerate risk discovery, enhance deal accuracy, and increase confidence.

It is critical to ensure that the integrity and authenticity of apostilled documents remain verifiable throughout quantum advances.

This paper provides an overview of the major AI risk developments, governance expectations, and security realities that have emerged in recent years.