AI safety is too important to get wrong.TRM exists to get it right.

Today, we are at a crossroads.

As I write this, AI is saving lives by helping doctors identify diseases faster, and making education more accessible to people everywhere. In the same breath, it’s also being used to inflict harm on a global scale.

TRM’s AI-in-Crime Adoption Index found that, in 2026, criminal adoption of AI rose 40%, year over year. Today’s threat actors are using AI to execute scams, cyber attacks, and other forms of digital crime at unprecedented speed and scale. In the last ninety days, we’ve also seen a growing number of incidents where the AI agents themselves have gone rogue.

Business titans and religious leaders are sounding the same alarm: to realize AI’s promise, we need to protect people from its harms.

The first line of defense is prevention. Model companies like Anthropic and OpenAI are building stronger guardrails, and governments are exploring what rules should exist for how AI can be safely used. We call this the prevention layer.

At TRM, we’ve spent nearly a decade fighting crime, from fraud and cybercrime to human and wildlife trafficking. That experience has taught us one thing, if nothing else: the prevention layer is essential, but never enough.

Criminals are going to break through. When they do, it’s critical that society respond. Today’s crimefighters must be able to identify the harm done, find the people and machines behind it, and take action: support the victim, freeze the funds, take down the infrastructure, arrest the offender, disable the agent, dismantle the network.

The world needs a new layer of protection.

We call it the disruption layer—and it's what we're building, right now.

The operating system for crimefighters.

In 2018, we founded TRM to help crimefighters map how threat actors were using cryptocurrency. We analyzed petabytes of data, mapping over a hundred types of crime. Government agencies and financial institutions around the world now use TRM to investigate complex criminal networks and combat financial crime.

The more cases we supported, however, the more we realized: if we were going to equip crimefighters to disrupt AI-scale crime, crypto would be part of the story, but not the whole story. To build a successful case, investigators have to be able to source intelligence not just from the blockchain, but also corporate records, cyber threat data, the dark web, and dozens of other domains. Today’s crimefighters need a way to use natural language to search across siloed domains, connect the dots and unearth buried insights, automate the rote work, and coordinate with partners across public and private sectors—all while preserving auditability and human judgment.

In short, crimefighters need an operating system for the AI era.

So we built it.

For years, we’ve been developing this OS alongside the investigators who use it. Now, we’ve just announced a new round of funding, valuing TRM at $2 billion, to propel our work—and this fall, we’ll unveil the operating system publicly, for the first time.

In the meantime, if your organization needs to fight AI-scale crime, please reach out. We want to work with you.