Cyberhaven
To protect the world's data from theft and misuse by making data loss impossible.
Cyberhaven SWOT Analysis
How to Use This Analysis
This analysis for Cyberhaven was created using Alignment.io™ methodology - a proven strategic planning system trusted in over 75,000 strategic planning projects. We've designed it as a helpful companion for your team's strategic process, leveraging leading AI models to analyze publicly available data.
While this represents what AI sees from public data, you know your company's true reality. That's why we recommend using Alignment.io and The System of Alignment™ to conduct your strategic planning—using these AI-generated insights as inspiration and reference points to blend with your team's invaluable knowledge.
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The Cyberhaven SWOT analysis reveals a classic disruptor's dilemma: superior, defensible technology versus the immense challenge of market education and displacement. Its data lineage graph is a powerful moat against commoditization and platform giants. However, weaknesses in brand awareness and go-to-market scale present significant hurdles. The primary strategic imperative is to translate technological supremacy into market velocity. This requires simplifying the message and deployment to accelerate value realization, aggressively building a channel to amplify reach, and seizing the immediate GenAI security opportunity to leapfrog legacy competitors. The company must focus its considerable resources on building a powerful GTM engine that matches the caliber of its engineering, turning its innovative product into an undeniable category leader before the market window closes.
To protect the world's data from theft and misuse by making data loss impossible.
Strengths
- TECHNOLOGY: Differentiated graph-based data lineage is a core moat
- LEADERSHIP: Experienced exec team from Zscaler, Salesforce, Cylance
- FUNDING: Strong backing from top VCs like Greylock, Wing ($135M+)
- VALIDATION: Named a Leader by Forrester, strong G2 customer reviews
- FOCUS: Clear vision on Data Detection and Response (DDR) category
Weaknesses
- AWARENESS: Low brand recognition vs. legacy DLP vendors like Symantec
- COMPLEXITY: Enterprise sales cycles can be long and require PoVs
- SCALE: Go-to-market motion still heavily reliant on direct sales
- INTEGRATION: Ecosystem of tech partners is still in early stages
- PRICING: Perceived as a premium solution in a cost-sensitive market
Opportunities
- GENERATIVE-AI: Urgent need to secure data in tools like ChatGPT
- CONSOLIDATION: CISOs want to replace multiple tools with a platform
- PARTNERSHIPS: Huge channel opportunity with MSSPs and large VARs
- REGULATION: Growing data privacy laws create compliance-driven demand
- INSIDER-RISK: Increased focus on insider threats in remote work era
Threats
- PLATFORMS: Microsoft's E5 license bundling is a significant threat
- COMPETITION: Well-funded startups (Netskope) and public giants
- ECONOMY: Potential for security budget cuts and delayed decisions
- DISPLACEMENT: Difficulty in ripping out deeply embedded legacy DLP
- COMMODITIZATION: Basic data classification features are becoming common
Key Priorities
- AWARENESS: Aggressively build brand and create the DDR category demand
- SIMPLICITY: Drastically simplify deployment to shorten time-to-value
- CHANNELS: Rapidly scale partnerships to expand market reach and sales
- INNOVATION: Solidify leadership in securing GenAI data usage workflows
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Cyberhaven Market
AI-Powered Insights
Powered by leading AI models:
- Cyberhaven Official Website
- Cyberhaven Press Releases (Series C Funding, Forrester Wave)
- Gartner Peer Insights & G2 Customer Reviews
- Forrester New Wave™: Data Detection And Response, Q2 2024
- LinkedIn (Employee count, Executive profiles)
- News articles from TechCrunch, CRN, SecurityWeek
- Founded: 2016
- Market Share: Emerging player in the DDR category
- Customer Base: Mid-market to large enterprises
- Category:
- SIC Code: 7372 Prepackaged Software
- NAICS Code: 511210 InformationT
- Location: San Jose, California
-
Zip Code:
95113
San Jose, California
Congressional District: CA-18 SAN JOSE
- Employees: 220
Competitors
Products & Services
Distribution Channels
Cyberhaven Business Model Analysis
AI-Powered Insights
Powered by leading AI models:
- Cyberhaven Official Website
- Cyberhaven Press Releases (Series C Funding, Forrester Wave)
- Gartner Peer Insights & G2 Customer Reviews
- Forrester New Wave™: Data Detection And Response, Q2 2024
- LinkedIn (Employee count, Executive profiles)
- News articles from TechCrunch, CRN, SecurityWeek
Problem
- Data theft by insiders and external actors
- Risky employee usage of GenAI tools
- Failure of legacy DLP to stop modern threats
- Lack of visibility into where data goes
- Compliance with data privacy regulations
Solution
- Real-time data lineage tracking platform
- Context-aware data loss prevention policies
- Insider risk detection and investigation
- Automated data classification and discovery
- Unified visibility across endpoint, web, email
Key Metrics
- Annual Recurring Revenue (ARR)
- Net Revenue Retention (NRR)
- Customer Acquisition Cost (CAC) Payback
- Gross Margin
- Pipeline Generation
Unique
- Graph-based tech sees all data history
- Contextual analysis over regex patterns
- Unified policy for all egress channels
- Focus on Data Detection & Response (DDR)
- No-compromise visibility without blocking
Advantage
- Proprietary and patented data lineage engine
- Unique dataset of enterprise data flows
- Experienced team from top security firms
- Strong VC backing and financial runway
- Early leader in GenAI data security
Channels
- Direct enterprise sales force
- Value-Added Resellers (VARs)
- Managed Security Service Providers (MSSPs)
- Digital marketing and content leadership
- Industry analyst and media relations
Customer Segments
- Large enterprises (Fortune 1000)
- Mid-market companies (500-5000 employees)
- Highly regulated industries (finance, health)
- Technology and software companies
- Government agencies
Costs
- R&D (engineering, AI research)
- Sales and marketing expenses
- Cloud infrastructure hosting (AWS/GCP)
- General and administrative (G&A)
- Customer support and success teams
Cyberhaven Product Market Fit Analysis
Cyberhaven provides the first data security platform built on a live data graph. It allows companies to see every data movement, stop critical risks like insider and AI threats that others miss, and simplify their security stack with a single, unified solution. This prevents data theft and misuse without slowing down the business, unlike complex legacy tools.
SEE every data movement with our lineage graph.
STOP critical risks like insider & AI threats.
SIMPLIFY security with a unified data platform.
Before State
- Blind to data movement and risk
- Complex, ineffective DLP rules
- Overwhelmed by false positive alerts
After State
- Full visibility of data's entire lifecycle
- Simple policies based on data context
- High-fidelity alerts on real threats
Negative Impacts
- Critical data theft goes undetected
- Business processes blocked by security
- Analyst burnout and high SOC costs
Positive Outcomes
- Prevent breaches from insider and AI risks
- Enable secure collaboration and innovation
- Improve security team efficiency by 90%
Key Metrics
Requirements
- Lightweight endpoint & cloud sensors
- Integration with identity providers (IdP)
- Clear definition of high-value data
Why Cyberhaven
- Deploy sensors to endpoints & cloud apps
- Define sensitive data & risk policies
- Monitor data flow graph for violations
Cyberhaven Competitive Advantage
- Trace data through any app or file type
- Detect unknown threats without signatures
- Unified visibility from endpoint to cloud
Proof Points
- 90% reduction in DLP alerts for customers
- Gartner Cool Vendor in Data Security
- Forrester DDR New Wave Leader
Cyberhaven Market Positioning
AI-Powered Insights
Powered by leading AI models:
- Cyberhaven Official Website
- Cyberhaven Press Releases (Series C Funding, Forrester Wave)
- Gartner Peer Insights & G2 Customer Reviews
- Forrester New Wave™: Data Detection And Response, Q2 2024
- LinkedIn (Employee count, Executive profiles)
- News articles from TechCrunch, CRN, SecurityWeek
Strategic pillars derived from our vision-focused SWOT analysis
Own the category of real-time data tracing everywhere
Deliver a single control plane for all data risks
Use AI to detect and respond to novel threats
Seamlessly embed into existing security stacks
What You Do
- Real-time data detection and response
Target Market
- Security teams in regulated industries
Differentiation
- Graph-based data lineage technology
- Contextual analysis over content scanning
Revenue Streams
- SaaS subscriptions
- Professional services
Cyberhaven Operations and Technology
AI-Powered Insights
Powered by leading AI models:
- Cyberhaven Official Website
- Cyberhaven Press Releases (Series C Funding, Forrester Wave)
- Gartner Peer Insights & G2 Customer Reviews
- Forrester New Wave™: Data Detection And Response, Q2 2024
- LinkedIn (Employee count, Executive profiles)
- News articles from TechCrunch, CRN, SecurityWeek
Company Operations
- Organizational Structure: Functional hierarchy
- Supply Chain: Cloud-native SaaS on AWS/GCP/Azure
- Tech Patents: Patents filed for data lineage tracking
- Website: https://www.cyberhaven.com
Cyberhaven Competitive Forces
Threat of New Entry
MEDIUM: High R&D costs and the need for enterprise sales expertise create barriers, but the large TAM continues to attract new VC-backed entrants.
Supplier Power
LOW: Primary suppliers are major cloud providers (AWS, GCP) where Cyberhaven is a customer, not subject to significant pricing power.
Buyer Power
HIGH: Buyers have many alternatives, from bundled platform solutions to niche point products, enabling them to demand competitive pricing and PoVs.
Threat of Substitution
MEDIUM: Substitutes include SASE platforms, CASBs, or Insider Risk tools that address parts of the problem, though none replicate the core lineage.
Competitive Rivalry
HIGH: Intense rivalry from legacy giants (Microsoft, Proofpoint) and well-funded startups (Netskope) creates a crowded market.
AI Disclosure
This report was created using the Alignment Method—our proprietary process for guiding AI to reveal how it interprets your business and industry. These insights are for informational purposes only and do not constitute financial, legal, tax, or investment advice.
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Alignment LLC specializes in AI-powered business analysis. Through the Alignment Method, we combine advanced prompting, structured frameworks, and expert oversight to deliver actionable insights that help companies understand how AI sees their data and market position.