AlphaSense

AT A GLANCE

Company: AlphaSense is a leading enterprise, market, and financial intelligence platform that helps organizations make high-stakes business decisions with confidence. Their entire product is built on data — curated, structured, and surfaced to help customers act meaningfully. Protecting that data isn't a supporting function at AlphaSense; it's foundational to the trust their customers place in them.

Contact: Pieter Vanlperen, CISO

Challenge: Every DLP product the team tried behaved the same way: rules without understanding, alerts without context, and no ability to reflect the real complexity of how a modern data-driven business operates. The category had a credibility problem — and for a company in the intelligence business, low-quality signal from a security tool is not acceptable.

Outcome: Jazz delivered what Pieter had never encountered in his career — actionable intelligence that tells the team when to respond, when not to respond, and how. It understands AlphaSense's business. And that changes everything.

THE CHALLENGE

Pieter has been thinking about data protection for a long time. At AlphaSense — where the entire business is built on the value of information — protecting data isn't an abstract compliance obligation. Every piece of customer data, every piece of proprietary market intelligence, every internal business decision carries real weight. Getting it wrong has consequences.

And yet, despite that imperative, every DLP solution Pieter evaluated ran into the same fundamental limitation: it was built on rules. You define what sensitive data looks like. You write logic to detect it. You flag anything that matches. But businesses aren't rule systems. Business is context, relationships, intent, history — and the same file, sent to the same recipient, can be a routine client deliverable one day and a material breach the next, depending on factors that a rule cannot evaluate.

"It was a dumb rule system," Pieter says. "And business doesn't fit that very well."

The problem was compounded by the expanding GenAI threat surface. As employees began interacting with AI tools — pasting data, generating documents, prompting models with context they didn't realize was sensitive — the gap between what traditional DLP could see and what was actually happening grew wider. A rule-based system designed for file transfers and email wasn't built for the way modern knowledge workers move information.

What AlphaSense needed wasn't a better rule engine. It needed a system that understood the business well enough to distinguish meaningful events from background noise — the same capability that makes AlphaSense's own product valuable to its customers.

"Jazz very openly said DLP doesn't work — which was interesting to hear from a DLP company. But I thought it was a very realistic point of view. And then they showed me a product that does work."
‍
^— Pieter VanIperen, CISO, AlphaSense

THE SOLUTION

What caught Pieter's attention was Jazz's intellectual honesty. Rather than claiming to have fixed something that every experienced practitioner knew was still broken, Jazz named the problem clearly — and then showed a fundamentally different approach.

"Jazz is the first solution that's really saying: don't give me rules, don't give me policies — give me data, and I'll figure out what should be happening with it," Pieter explains. "It wants to understand your business, and based on that understanding, it knows what's normal and what isn't."

Onboarding was a different experience from anything the team had done before. Hand over existing policies in plain language. Jazz starts working. No rule configuration, no threshold debates, no setup overhead before getting first value. The system began understanding AlphaSense's environment from day one.

The intelligence it returns is equally different. Rather than surfacing a raw log event for a human to investigate, Jazz delivers an already-investigated answer: this is what happened, here's the context around it, here's what it means, and here's how to respond. The analysis that used to fall entirely on the security team now arrives as part of the alert itself.

RESULTS

The outcome Pieter returns to most often is the shift in what the team can actually do with what Jazz gives them.

"Jazz immediately brings value to everyone that touches it. It's not yesterday's DLP. It's actionable intelligence in our hands. It allows us to know when to respond and when not to respond — and how to respond — in a way I haven't seen in my career."

For a company whose product is built on helping organizations act with confidence at the right moment, the parallel resonates. AlphaSense helps its customers cut through noise to find the signal that drives smart decisions. Jazz does the same thing for the security team. That alignment — between what AlphaSense builds and what Jazz delivers — wasn't lost on Pieter.

"Jazz is the closest thing I've seen to a successful synthetic employee since AI has been AI."
‍
‍^— Pieter Vanlperen, CISO, AlphaSens^e

For security leaders who have written off DLP as a category, Pieter's position is clear: "If someone out there thinks DLP doesn't work, I would say they haven't tried Jazz."

For organizations in data-intensive industries — financial services, enterprise software, market intelligence — where the quality of security signal directly affects business outcomes, Jazz represents the first DLP built to match the complexity of the business it protects.

‍