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Data Dynamics Debuts Enterprise 2.0.5 at LEAP 2026 for AI Data Governance

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Data Dynamics Debuts Enterprise 2.0.5 at LEAP 2026 for AI Data Governance

RIYADH, Saudi Arabia -- August 31, 2026 -- Data Dynamics announced general availability of Enterprise 2.0.5 at LEAP 2026 in Riyadh. The company said 60% of AI projects stall due to data curation and AI-readiness gaps, prompting the release of a platform that enforces governance directly at the data layer. Enterprise 2.0.5 targets models pointed at unmapped data, agents with standing access to content, and compliance teams left proving control after incidents occur. The software is available now across cloud, on-premises, sovereign and air-gapped deployments.

Enterprise 2.0.5 lets organizations run any AI model inside their own trust boundary

The release's 'Bring Your Own Model' (BYOM) architecture allows enterprises to operate any model without moving data outside their own trust boundary. Content-aware, time-bound entitlements bring people, models and agents under a single access framework, with grants that expire automatically rather than persisting indefinitely. Lifecycle tools retire redundant data before it reaches a GPU cluster, a step the company described as a compute-efficiency gain.

Data Dynamics cites 114 countries with active data protection laws

Data Dynamics said 114 countries have enacted national data protection and privacy laws as of 2026, covering three in every four citizens globally. In Saudi Arabia, the Personal Data Protection Law (PDPL) is enforced by the Saudi Data and Artificial Intelligence Authority (SDAIA), which the company said has issued 48 enforcement decisions to date. SDAIA also sets the Kingdom's national AI strategy, placing data protection and AI oversight under a single regulator.

Compliance teams gain audit evidence in minutes, not weeks

Enterprise 2.0.5 includes an on-demand compliance audit function built to produce attestable evidence in minutes rather than through after-the-fact reviews. Piyush Mehta, CEO of Data Dynamics, said AI programs don't stall because the models aren't good enough. He said the platform is meant to turn AI governance from a risk conversation into a speed advantage once organizations can document what data they hold and who is permitted to access it.

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