Archive360 In the Media

Digit reports that the UK government has launched a £500 million Sovereign AI Unit to accelerate domestic AI development and reduce reliance on foreign technology. The article also includes commentary from Archive360’s VP of Compliance, George Tziahanas, emphasizing the need to balance innovation with strong regulatory oversight.

In Unite.AI, George Tziahanas, VP of Compliance at Archive360, explores the critical need for defensible AI governance infrastructure in an evolving regulatory landscape. The article highlights how organizations must move beyond reactive compliance and instead embed transparency, accountability, and auditability into their AI systems to ensure long-term trust and regulatory alignment.

In Forbes, Jerry Caviston explains how organizations can turn data governance into a competitive advantage by aligning it with business strategy rather than treating it as a compliance exercise. He outlines how strong governance enables faster innovation, reduces risk, and builds the trust needed to scale AI initiatives effectively.

This published in A-team Insight's Blog article examines how Archive360 is preparing organizations for the end of the single-provider data pipeline by enabling more flexible, resilient data management strategies. It also includes insights from George Tziahanas, VP of Compliance at Archive360, on maintaining control, accessibility, and defensibility of data across increasingly complex and multi-platform environments.

This article written by Archive360's VP of Compliance, George Tziahanas, explores the growing importance of data defensibility as organizations face increased regulatory pressure and data complexity. It highlights how strong governance, transparency, and control are essential to mitigating risk and ensuring data can be trusted, protected, and effectively managed.

In a new Forbes article, Archive360 CEO Jerry Caviston explains that organizations are facing a rapidly emerging compliance challenge driven by AI-based interactions. While enterprises have focused on adopting AI tools, many have not yet addressed how to capture, retain, and govern the data generated through those interactions in a way that meets regulatory and audit requirements.