Velotix pushes Congress to back real-time privacy rules

Velotix is urging federal lawmakers to build a national privacy framework around machine-interpretable, continuously enforced policies instead of static rules. The company says that approach would close compliance gaps, reduce business friction and better fit AI-driven data environments.

Why it matters: - Velotix says the U.S. privacy debate has focused too much on state-law fragmentation and not enough on whether privacy rules can actually keep up with modern data systems. - A federal framework built around real-time governance could reduce compliance costs, improve enforcement consistency and give businesses faster access to data without loosening protections. - The company argues that AI makes the stakes higher by creating both new privacy risks and new tools for monitoring and protection.

What happened: - Velotix submitted a response to the U.S. House Committee on Energy and Commerce’s Request for Information on a comprehensive federal data privacy and security framework. - Dr. Adi Hod, Velotix co-founder and CEO, said effective privacy policy must be machine-interpretable and enforceable in real time. - Hod warned that a federal framework built on static rules could become outdated quickly because data environments, employee roles, regulations and AI systems change constantly.

The details: - Velotix said any durable federal privacy standard should be built on three principles: machine-interpretable policy, real-time continuous enforcement and end-to-end traceability. - Machine-interpretable policy means privacy rules can be translated automatically into technical controls across systems, instead of being manually reinterpreted platform by platform. - Real-time enforcement means access and protection controls adapt as data, roles and regulations change, including during onboarding, role changes and departures. - End-to-end traceability means organizations can show how a written privacy rule maps to actual system permissions. - Velotix said AI can help classify, monitor and protect data at scale, but AI systems also need safeguards such as access limits, model transparency and auditing of sensitive training data use. - Hod said AI and privacy protection should be designed to work together rather than treated as competing priorities. - Velotix said current static, manually enforced controls can create security gaps, compliance uncertainty, reduced data utility and higher compliance costs. - The company said a dynamic federal standard would help organizations move faster while strengthening consumer privacy. - Velotix is an AI-powered data security and access platform that uses policy-based access control and AI-driven automation to reduce data access times from months to minutes. - Velotix said its platform continuously enforces policy across cloud, on-premises and hybrid environments and gives real-time visibility into how data is accessed and protected. - The company says it is a Selected Vendor in the Gartner Guide for Data Security Platforms and is ISO 27001 certified. - Velotix serves enterprises in financial services, healthcare, life sciences, telecommunications and other data-intensive industries. - The company included a public website link for more information: More information. - Velotix also shared social and certification links, including LinkedIn, X and the ISO 27001 certificate.

Between the lines: - Velotix is making a policy pitch as much as a product argument. - The company is framing “dynamic governance” as the practical answer to both regulatory complexity and AI-era data management. - The message is aimed at lawmakers, but the business case is clear: compliance systems that adapt automatically can lower friction across large enterprises.

What’s next: - Congress will continue evaluating input from industry and other stakeholders as it considers whether to pursue a national privacy framework. - Velotix is positioning machine-interpretable governance as a baseline for any future federal standard. - If lawmakers move toward a national approach, the debate is likely to center on how to make privacy rules enforceable in real time, not just how strict those rules should be.

The bottom line: - Velotix wants Congress to treat privacy as a dynamic systems problem, not a static compliance exercise.