Why I Joined Cyberhaven

Building a Category-Defining Data & AI Security Platform, And Coming Back to My Data Protection Roots

I joined Cyberhaven because AI has turned data security into a speed and context problem, and the old approaches simply can’t keep up.

For years, data security has been sold to enterprises as a set of separate tools: DSPM, DLP, Insider Risk Managed, and now “AI Security.” But in the real world, relying on those silos creates real risk gaps. Too often, the tools are:

• Context-poor: they see an event, not the story of how the data got there
• Noisy: they create high false positives and low analyst trust
• Late to prevent: they detect incidents after the data has already left the environment
• Fragmented: they force security and IT teams to stitch together coverage across channels and workflows

The result is a widening gap between where sensitive data lives and moves and an enterprise’s ability to see it, govern it, and stop data leakage. And this rings even more true now when employees (and increasingly AI agents) can exfiltrate data through perfectly legitimate tools and workflows. See the latest “living off the AI land” incidents where prompt injections have led to confidential data leaks, AI has been manipulated into bypassing business logic and guardrails, and has even been leveraged to blackmail users by threatening to disclose discovered personal information.

And on a personal level, this feels like a full-circle moment. I’m coming home to my data protection roots. I’m coming back to the work that’s always mattered most to me: protecting data wherever it goes. (Right back at you, Ionic!)

The Cyberhaven Mission is Exactly Right for This Moment

Cyberhaven is building a category-defining AI & Data Security Platform that unifies what organizations have been forced to manage separately: discovery, lineage + context, real-time detection, and enforcement across the core places enterprise data actually flows, with dedicated controls for GenAI usage.

That’s what “platform” should mean: not another dashboard, but a system that can fully understand data in motion and help you act before it’s gone.

Why This Approach Wins

AI changed the workflow. Sensitive data isn’t only stored; it’s pasted into prompts, transformed, summarized, and re-shared in seconds.

Protecting it requires both lineage and behavioral context; not more point tools that only catch fragments of the story. Fragmented data can’t be solved by fragmented tools, and yet too many organizations stitch together acquired technology, unintentionally expanding the same visibility gaps they seek to close.

Why I’m Here And How I’ll Drive Strategy

I’m a firm believer that partner ecosystems don’t just scale distribution; they shape company strategy.

The platforms that define categories are built with their ecosystems:

• Partners influence product priorities through real use cases
• Integrations become the adoption path
• Co-sell motions turn strategy into repeatable outcomes

That’s what I’m here to do at Cyberhaven: drive strategy through the ecosystem, align the right partners, build the “better together” narrative, and operationalize motions that create predictable, ecosystem-driven growth.

I love this work of turning partnerships into a strategic advantage that helps define the category. And what a category this is!

If you’re navigating AI and data risk right now, I’d genuinely love to compare notes.