Cyberhaven

Cyberhaven

AI-driven cybersecurity for insider threat protection

About Cyberhaven

Simplify's Rating
Why Cyberhaven is rated
A-
Rated B on Competitive Edge
Rated A on Growth Potential
Rated A on Rating Differentiation

Industries

Data & Analytics

Cybersecurity

AI & Machine Learning

Company Size

11-50

Company Stage

Series D

Total Funding

$238.5M

Headquarters

Boston, Massachusetts

Founded

2015

Overview

Cyberhaven offers cybersecurity solutions that protect businesses from insider threats using artificial intelligence. Its technology tracks data flow within organizations to prevent unauthorized data transfers and aids in internal investigations by providing a complete record of events. The system can also detect risky behavior in real-time, stopping users from mishandling sensitive information and offering coaching to prevent future incidents. By combining various data security functions into one platform, Cyberhaven aims to provide comprehensive protection for sensitive information through a subscription model.

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Simplify's Take

What believers are saying

  • Cyberhaven secured $100M in Series D funding, boosting its expansion and innovation potential.
  • The appointment of Chris Bates as CSO enhances Cyberhaven's security strategy and business alignment.
  • Growing demand for AI-driven data security solutions benefits Cyberhaven's market position.

What critics are saying

  • Shadow AI apps pose risks of data breaches and compliance violations for Cyberhaven's clients.
  • Rapid expansion may attract scrutiny from competitors and regulators, increasing legal challenges.
  • Strategic shifts by new CSO Chris Bates could disrupt operations or cause internal conflicts.

What makes Cyberhaven unique

  • Cyberhaven uses AI to understand data flow and prevent data exfiltration.
  • The company offers a complete record of events for accelerated internal investigations.
  • Cyberhaven's data lineage technology provides context for accurate data classification and protection.

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Funding

Total Funding

$238.5M

Above

Industry Average

Funded Over

6 Rounds

Series D funding is typically for companies that are already well-established but need more funding to continue their growth. This round is often used to stabilize the company or prepare for an IPO.
Series D Funding Comparison
Above Average

Industry standards

$77M
$70M
Twilio
$80M
Handshake
$100M
Affirm
$100M
Cyberhaven

Benefits

Health Insurance

Flexible Work Hours

Remote Work Options

Stock Options

401(k) Retirement Plan

Paid Vacation

Career Advancement Opportunities

Team Building Events

Professional Development Budget

Paid Sick Leave

Company News

ZF
Apr 3rd, 2025
Cyberhaven secures $100M funding round

Cyberhaven, a data security startup founded by three Romanians and two Ukrainians, has secured $100 million in Series D funding led by StepStone Group, with new investors Schroders and Industry Ventures. This brings its total funding to $250 million and values the company at $1 billion. Cyberhaven, originally founded in Lausanne and now based in Boston, uses AI-driven data lineage technology to enhance data security.

Stock Titan
Apr 2nd, 2025
Cyberhaven Raises $100M in Series D

Cyberhaven, an AI-powered data security leader, has raised $100 million in Series D funding, led by StepStone Group with new investors Schroders and Industry Ventures. This funding elevates Cyberhaven's valuation to $1 billion, a sevenfold increase in one year. The company plans to expand its platform and market reach, leveraging its proprietary AI model for data lineage to enhance data security.

PR Newswire
Apr 2nd, 2025
Cyberhaven Raises $100 Million Series D at $1 Billion Valuation

/PRNewswire/ -- Cyberhaven, the leader in AI-powered data security, today announced $100 million in Series D funding led by StepStone Group (Nasdaq: STEP)...

VentureBeat
Mar 25th, 2025
Security Teams Can Respond 80% Faster To Events With Cyberhaven’S Ai-Powered Data Lineage Tools

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Enterprise workers are eager to take advantage of AI tools — whether their employer likes it or not. This unapproved use, what’s known as shadow AI, is increasing dramatically: As much as 96% of the work employees do with AI is through non-corporate accounts. Whether done inadvertently or maliciously, this can leak an enterprise’s highly sensitive and proprietary data. Security platform Cyberhaven says it can solve this problem by tracking data lineage, or data lifecycles across different users and endpoints. The company has specific large lineage models (LLiMs) for this task, and today is announcing Linea AI, the next generation of it platform intended to help stop shadow AI and predict what flagged incidents may be most dangerous. â€śIt manifests itself in this form of lineage: You understand where data is coming from, who has had access to it, across all the different endpoints, across all your users,” Nishant Doshi, Cyberhaven’s chief product and development officer, told VentureBeat in an exclusive interview. 90% reduction in incidents requiring manual reviewAccording to Cyberhaven’s analysis of the workflows of 3 million workers, AI usage grew 485% between March 2023 and March 2024, and employees are increasingly sharing sensitive data: Nearly 83% of legal documents and around 50% of source code, research and development materials and HR and employee records that employees share with AI are going to non-corporate AI accounts. To help prevent this unsanctioned use and protect sensitive company data, Linea AI uses an LLiM trained on billions of real enterprise data flows

VentureBeat
Feb 17th, 2025
Shadow Ai: How Unapproved Ai Apps Are Compromising Security, And What You Can Do About It

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreSecurity leaders and CISOs are discovering that a growing swarm of shadow AI apps has been compromising their networks, in some cases for over a year.They’re not the tradecraft of typical attackers. They are the work of otherwise trustworthy employees creating AI apps without IT and security department oversight or approval, apps designed to do everything from automating reports that were manually created in the past to using generative AI (genAI) to streamline marketing automation, visualization and advanced data analysis. Powered by the company’s proprietary data, shadow AI apps are training public domain models with private data.What’s shadow AI, and why is it growing?The wide assortment of AI apps and tools created in this way rarely, if ever, have guardrails in place. Shadow AI introduces significant risks, including accidental data breaches, compliance violations and reputational damage.It’s the digital steroid that allows those using it to get more detailed work done in less time, often beating deadlines. Entire departments have shadow AI apps they use to squeeze more productivity into fewer hours

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