As data breaches multiply and artificial intelligence accelerates the speed at which information can be copied, altered, and weaponized, Anthony Woodward believes the market is missing a critical capability: disciplined, provable control over data.

“The core essence of what we’ve tried to do,” Woodward explains, “is address a gap that’s emerged as data became exponentially more accessible.”

Twenty years ago, sensitive information lived in filing cabinets. Retrieving it required physical access, keys, and effort. Today, data is distributed across cloud platforms, collaboration tools, HR systems, and AI interfaces — accessible instantly and often replicated endlessly. That accessibility has created enormous productivity gains, but it has also eroded practical control.

“It’s not necessarily that anyone is being nefarious,” Woodward says. “It’s that the processes and procedures haven’t kept up with how fast data moves.”

That challenge becomes even more acute in the age of AI and large language models. What was once easy to retrieve is now dramatically easier to analyze, recombine — and potentially misuse. “We didn’t just make data easier to access,” he notes. “We made it a hundred times easier to find and abuse if it’s not managed correctly.”

Woodward is also known for his work in blockchain — though he is quick to separate the technology from cryptocurrency speculation.

“Blockchain gets locked in with Bitcoin,” he says. “But blockchain itself is about integrity, authenticity, immutability, and defensibility.”

At its core, blockchain provides a mechanism to prove that something exists, to verify its characteristics, and to establish ownership claims. While that framework underpins cryptocurrency ledgers, it can also apply to data governance.

“The funny thing about data,” Woodward explains, “is we can both walk away from this conversation with identical copies. But I could alter mine, claim you said something different — and with AI, proving that I didn’t do that becomes increasingly difficult.”

Blockchain-based auditability introduces a defensible layer: a way to establish that a particular version of a record has not been altered. For Woodward, it is less about hype and more about infrastructure. “It’s like the zeros and ones on a hard drive. It’s not flashy. It’s just enabling technology.”

Tokenization, he adds, follows a similar logic. In theory, tokenized systems could streamline complex ownership structures — such as land title registries. In practice, however, regulatory and jurisdictional complexity have slowed real-world adoption.

RecordPoint sits at the intersection of data architecture, regulatory compliance, and operational risk. Woodward describes the company as focused on the tradeoffs that emerge when organizations manage information at hyper scale.

“There are always tradeoffs when something gets big,” he says. “The question is: how do you apply the right controls, at scale, in a way that’s provable?”

Many vendors, he argues, attempt to solve the problem by pulling data into centralized repositories — the digital equivalent of placing files in a locked basement archive. RecordPoint takes a different approach.

“We manage data in place,” Woodward explains. Rather than extracting and storing information elsewhere, RecordPoint attaches governance controls directly to existing systems — whether Microsoft, Google, Workday, or ServiceNow.

He uses a traffic analogy: “We don’t take the cars and put them in a box. We put traffic lights in place. We define how the data can behave.”

This architecture preserves workflow while embedding rules, auditability, and regulatory controls directly into operational platforms.

RecordPoint’s largest customer is New York City, where approximately 400,000 users have data flowing through the platform across multiple enterprise systems. The company also serves major government agencies across the United States, Canada, Australia, and parts of the United Kingdom.

In financial services, several of the world’s top 20 banks rely on RecordPoint to manage onboarding, offboarding, consent governance, and lifecycle controls for customer data. In critical infrastructure, clients range from industrial operators such as Alcoa to utilities like Pacific Gas and Electric (PG&E), where engineering documentation and operational data require rigorous oversight.

Across industries, the common denominator is responsibility. “These organizations have a high duty of care,” Woodward says. “They need defensible control — not just operational convenience.”

When asked about the biggest misconception in technology today, Woodward points to AI overreach.

“The idea that robots are about to eliminate all jobs — that’s overhyped,” he says. Autonomous systems will augment workflows, but they still require oversight, governance, and human accountability. The transformation will be incremental and constrained by regulatory and operational realities.

What concerns him more is society’s tendency to embrace innovation without considering consequences. Consumers and enterprises alike adopt new tools without fully assessing what data they are surrendering in exchange for convenience.

“The keys to the kingdom are in your data — your home address, your medical records, your personal history,” he says. “People install a tool and forget they’re giving something up.”

RecordPoint’s ambition, he explains, is to enable organizations to extract value from AI and emerging technologies without forfeiting control. Governance is not meant to suppress innovation; it is meant to make innovation sustainable.

Ultimately, Woodward frames his work as part of a broader societal challenge.

“We’re losing trust,” he says. “Not just in institutions — in information itself.”

New technologies are inevitable. Change is accelerating. But without guardrails, auditability, and shared standards of responsibility, trust erodes.

“If there’s a bigger goal,” he concludes, “it’s reestablishing multi-party trust. We can adopt new technologies. We can innovate. But we need rules — and we need to trust each other again.”

In a world increasingly defined by data, that may be the most valuable infrastructure of all.