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.

More from Iulia: A Q&A With Our New VP of Alliances and Strategy

The “full-circle moment” you mention in your blog is compelling. What was the moment early in your career that made you fall in love with data protection?

My journey started over a decade ago at Ionic Security, an Atlanta-based startup with a mission to protect data anywhere it goes. I was in product management, building an attribute-based policy engine for encrypting unstructured data across collaboration suites that were just emerging at the time. To get to market, we had to build a rich partner ecosystem across CASBs, DLP, and data classification tools, and that’s where my passion for alliances was born. Joining Cyberhaven feels like a full-circle moment to my roots, now focused on scaling data protection through partnerships.

What’s your instinct for spotting a company that’s truly building something versus one that’s just riding the hype?

The signals are: a mission you can articulate in plain language, a product built on the right technology stack for the moment, and relentless execution. When those three things align, that’s a company building something real, and that’s exactly what Cyberhaven is doing.

Partnerships are a people game. What do you look for in a partner that you can’t find on a slide deck?

I look at the partner ecosystem holistically: channel, GSIs, technology alliances, CSPs, MSSPs, but there’s one question I always come back to: is there genuine value for the customer? Are they willing to invest in enablement and go deep technically? I also look for alignment with their top three business priorities. If you’re not in that conversation, you’re an afterthought. Ultimately, the unfair advantage in this industry isn’t technology anymore. It’s happy customers who grow with you and recommend you. Cyberhaven’s commitment to partnerships was a big factor in why I joined.

Outside of work — what are you nerding out on?

I’m a total foodie experimenting with Indian and Korean cooking! I love the bold flavors. I’m also a little obsessed with staying hydrated and getting enough protein, which feels like a full-time job. And for the past year and a half, my biggest focus has been getting my son ready for college, so life has been full in the best way!

How do you recharge?

I love getting outside for walks, though I’m usually scrolling Instagram, which is how I end up twisting my ankle. Family is a big recharge, and we try to have dinner together most nights. Professionally, I have a dream project I’d love to bring to life: a community event celebrating women in technology partnerships, because there are so many phenomenal women in cybersecurity juggling demanding careers and family life, and we need to normalize that conversation.