According to Silicon Republic, cybersecurity startup Miru was founded in 2024 by former eBay security professionals Eoghan McKee, David Pigott, and Quang Pham. The San Francisco-based company has developed a platform that uses a graph-native workspace and AI copilots to help analysts perform cybersecurity, trust and safety, and fraud investigations. In September 2024, the company raised $2.7 million in a pre-seed funding round led by Dreamcraft, Cadenza, and Seedcamp. Miru is currently in the early stages of enterprise deployment, working with design partners and moving into initial customer deployments across industries like healthcare and fintech. The founders’ ultimate goal is to make Miru the default infrastructure, or “investigation fabric,” for complex organizational inquiries.
The old way is broken
Here’s the thing the Miru founders are betting on: the current process for deep-dive investigations is a mess. It’s a patchwork of siloed tools, manual data pivoting, and tribal knowledge that doesn’t scale. When you’re responding to a major breach or a sophisticated fraud ring, you don’t have time to hop between ten different consoles and pray you can connect the dots. McKee’s point about teams “reinventing the wheel with bespoke workflows” rings painfully true for anyone who’s been in a Security Operations Center (SOC). The bottleneck isn’t a lack of data; it’s the inability to understand and connect that data quickly.
Graph and AI: the new backbone?
So, Miru’s answer is to build everything on a knowledge graph. That’s a smart move. Instead of flat logs that tell you “this IP did this at this time,” a graph can show you that the IP belongs to a user account, which was created from a specific device, which also accessed these other sensitive files last week. It maps relationships. Pairing that structured context with AI agents that can reason over it is the logical next step. The promise is moving from manual hunting to something closer to having an AI assistant that can say, “Based on the pattern, you should look at these three related entities next.” It’s a powerful vision. But, and there’s always a but, the success hinges entirely on the platform’s ability to ingest and normalize all that fragmented data in the first place. That’s the unsexy, hard problem every vendor in this space struggles with.
A crowded field with a sharp focus
Now, the competitive landscape here is fierce. You’ve got massive SIEM (Security Information and Event Management) players like Splunk and emerging XDR (Extended Detection and Response) platforms. Miru isn’t directly replacing those; it’s aiming to be the layer on top that makes the investigation phase, which comes after detection, radically more efficient. Their focus on “investigations” as a category spanning cyber, fraud, and trust & safety is interesting. It suggests they see a common, underserved workflow across different departments. If they can truly build that unified “fabric,” it could be a winner. The risk is getting pulled in too many directions trying to serve analysts with very different day-to-day realities. The $2.7M pre-seed, especially with that roster of investors, shows smart money thinks the team’s specific experience from eBay, Uber, and Secret Service gives them a credible shot.
Building the foundation
For a company that’s just a few months old, talking about being “default infrastructure” is wildly ambitious. But that’s what startups do. The more telling detail is McKee mentioning the challenge of balancing speed with scale and laying engineering foundations. That’s the real work happening now. Can they transition from a slick MVP for design partners to a robust platform an entire Fortune 500 SOC can run on? The funding gives them runway to figure that out. I think their early traction with government and regulated industries like healthcare and fintech is a strong signal. Those are environments where complex investigations are constant and the cost of failure is high. If Miru works there, it’ll work anywhere. You can check out their vision at their website. The journey from a cool idea among ex-colleagues to the “investigation fabric” for enterprises is a long one, but they’ve started with a compelling stitch.
