Archive360 In the Media

Silicon UK explores why enterprise data is increasingly becoming a liability when it is over-retained, poorly governed, or difficult to delete, especially as privacy, breach, and AI risks continue to grow. The article features George Tziahanas, VP of Compliance at Archive360, on why organizations need more trusted, defensible data strategies built around retention, deletion, and governance.

Jerry Caviston, CEO of Archive360, writes in Forbes Technology Council that data sovereignty has evolved from a compliance concern into a critical risk for enterprise AI strategy. He argues that without provable data governance and lineage, organizations may be unable to deploy AI systems across jurisdictions or defend their use to regulators and partners.

In Silicon UK’s “The AI Regulation Race: Can the US Keep Innovation Ahead of Oversight?”, the focus shifts from AI adoption to the challenge of scaling it responsibly amid regulatory uncertainty. As George Tziahanas, VP of Compliance at Archive360 notes, the fragmented US approach “creates less uncertainty or complexity than one might predict,” but confidence at scale remains the real hurdle.

In TechRound, the UK government’s £500M investment in a Sovereign AI Unit signals a major push to accelerate domestic AI innovation and reduce reliance on foreign technology. George Tziahanas is quoted, highlighting the critical role of governed data in ensuring these initiatives remain secure, compliant, and effective.

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.