Dr. Adi Hod

Dr. Adi Hod is the co-founder and Chief Executive Officer of Velotix, a company that builds a data security platform for enterprises seeking to manage and use large volumes of information safely [1][3]. He describes Velotix's core offering as a bridge between data security and data governance, arguing that organizations need both disciplines working together to achieve what he calls data democratization, or the ability to use data freely across and beyond an organization while keeping sensitive information protected and compliant with regulations [3]. In his account, data is simultaneously an organization's most valuable and most risky asset because it reflects business operations and human behavior, which makes its protection a central concern for any company that holds meaningful amounts of it [3][2].

Hod has laid out a three-tier maturity model that Velotix uses to match its tools to a client's level of data governance sophistication. For organizations with little formal structure around data management, he says the company first provides a discoverability solution that gives visibility into what data exists before any automation is introduced [2]. Organizations with some policies already in place but heavy manual processes are matched with purpose-based access control, while fully mature organizations are offered a machine learning-driven policy engine intended to generate what he calls a "golden source of policy" for the enterprise [2]. He adds a further category beyond these three tiers to address generative AI, framing the current shift as one from human-to-machine data access toward a new set of questions about how data ownership and rules apply when AI systems themselves are consuming data [2].

Hod points to an early engagement with Deutsche Bank as a formative case for the company, describing a large, multi-site institution with data spread across different structures and jurisdictions and subject to multiple regulators, which required Velotix to consolidate disparate rules and information into a single system for safe data use [3][2]. He characterizes this kind of transformation as moving an organization's data environment from disorganized and inconsistent toward one that is structured and manageable, a shift he has also framed as a move from a data "autocracy" to a data "democracy" [2]. On the technical side, he emphasizes the use of explainable AI, stating that Velotix's system surfaces the reasoning behind suggested data policies so that human data owners can give feedback that is then fed back into the training process to improve the system's accuracy over successive iterations [3].

Hod also situates Velotix's work within broader regulatory and cost pressures facing enterprises, citing an estimate that managing employee privacy alone can amount to roughly 1.5 percent of an employee's salary in the United States, a figure he uses to argue that privacy compliance affects not just risk exposure but also organizational productivity [3]. He notes that the regulatory environment itself is highly dynamic, referencing more than 200 regulatory changes occurring per day as a rationale for using machine learning and deep learning techniques to keep policy enforcement current [2]. Hod has discussed these themes publicly in industry venues, including an appearance at PwC Luxembourg's Cybersecurity & Privacy Day in 2023 [4].

Insights & ideas

Dr. Adi Hod argues that data is simultaneously an organization's most valuable and most risky asset, since it represents "our business, what we like, what we don't like, what we desire" [1]. His central thesis is that data democratization requires bridging two historically separate markets, data security and data governance, and that Velotix exists as the link enabling safe, compliant self-service access to data [1]. He stresses explainable AI as essential to building trust: because low trust in algorithmic decisions stems from opacity, systems should explain suggested policies to human data owners, capture their feedback, and iteratively improve accuracy while increasing automation [1].

Hod also frames data management maturity as a three-tier progression, from basic discoverability for low-maturity organizations, to policy-based access control at mid-level, to machine learning-driven policy engines for fully mature organizations facing over 200 daily regulation changes [2]. He describes this evolution, exemplified by Deutsche Bank, as a shift from data "autocracy" to "democracy," turning messy environments into organized, manageable ones, and extends this thinking to emerging challenges like generative AI's impact on data governance [2].

Experience

1. 
   Chief Executive Officer

   VelotixOct 2020 to Present
2. Director

   Servara Solutions2014 to Present
3. Advisory Board Member

   Aquant2016 to Present
4. Management

   AnalytixInsightMar 2017 to Mar 2019
5. Board Member

   Precious Project IncJun 2017 to Jun 2018
6. Shareholder

   Matter & Light2016 to 2018
7. CEO

   Euclides Technologies IncorporatedJan 2006 to Mar 2017

Education

• Massachusetts Institute of Technology · EMBA, Business2016 - 2018
• University of Haifa · PhD, Early Venture firms / Data Science2020
• Technion - Israel Institute of Technology · Master of Science - MSc, Industrial Engineering and management1998 - 2002

Media & appearances

• The Data Modernization Journey and the Velotix Three Tier ApproachVelotix video/interview · Jun 6, 2023

  Dr. Adi Hod discusses Velotix's three-tier maturity model approach to data management, explaining how organizations at different maturity levels require different solutions: discovery and visibility for low-maturity organizations, policy-based access control for mid-level organizations, and machine learning-driven policy engines for fully mature organizations. He also addresses how Velotix adapts to emerging challenges like generative AI and regulatory changes, referencing a Deutsche Bank scenario as an example of data management transformation.

• Today's Data Landscape & the Importance of a Data Security Strategy (with Joe Batista)YouTube

  Dr. Adi Hod, co-founder and CEO of Velotix, discusses how his data security platform bridges security and data governance to enable safe data democratization. He explains how Velotix uses explainable AI to suggest and enforce data policies that mask or anonymize sensitive information, keeping humans in the loop through iterative feedback to improve algorithm accuracy while maintaining compliance and protecting against data risk.

• PwC Luxembourg Cybersecurity & Privacy Day 2023 - PodcastPwC Luxembourg · Apr 25, 2023

This page shows public professional information only, each fact cited. Is this you? Corrections or removal within 24 hours, no questions asked.