Protect Alpha. Adopt AI Without Leaks.
Investment firms move deal memos, models, and research constantly across analysts, devices, and AI tools, where a single leak can move markets, breach LP trust, or trigger regulatory exposure. This datasheet shows how Cyberhaven traces that data everywhere it goes, so you can adopt AI and protect MNPI at the same time.
What's inside
How Cyberhaven Protects Investment Firms
Trace deal memos, models, and research from creation to email, devices, and AI tools, keeping MNPI inside the walls that matter.
Flag unusual activity before a departure and block exfiltration in the moment, so models and LP data don't leave with a lateral move.
Enforce information barriers with lineage, identity, and behavior that separate routine research from barrier crossings that create regulatory exposure.
Core Capabilities of the AI-Native Platform
Discover every AI tool and agent analysts use, score each for risk, and record agent activity with full data context, including when MNPI is involved.
Map MNPI, LP data, and research at rest and in motion across SaaS, IaaS, PaaS, on-premises, and hybrid environments, reducing exposure before incidents occur.
Stop MNPI, models, and LP data from leaving the firm across email, web, cloud storage, USB, and AI apps, with context that reduces false positives.
What Makes Cyberhaven's Data Lineage Different
Whether the deal memo lives in the data room or the model sits in a research drive, different teams produce data in different places.
Deal data moves in recognizable ways, from the data room to the deal team to a portfolio review, and lineage follows every step.
Different desks produce different work, from research analysts to investor relations, and lineage knows the difference.