Cyberhaven
AI-native data security platform that traces the full lifecycle of your data to secure AI adoption and stop exfiltration.
By Cyberhaven · 4.3/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Large enterprises that must secure AI and agent usage, including shadow-AI discovery and agent risk posture.
- Security teams replacing legacy DLP that is noisy, rule-heavy and prone to false positives.
- Regulated organisations in finance, healthcare, legal and manufacturing that must evidence data-handling controls.
- Insider-risk and incident-response teams that want automated investigation reports built on data lineage.
- Global companies that want one platform across endpoints, SaaS, PaaS and IaaS.
Ideal size: 1,000+ employees people · Enterprise with an established security, insider-risk or DLP function
Not for
- Small businesses without a dedicated security or IT team to run a data-protection programme.
- Buyers who need published, self-serve pricing; Cyberhaven sells through demos and custom quotes.
- Cloud-only teams looking for a pure SaaS DLP tool with no endpoint agent.
- Organisations that cannot deploy monitoring agents on employee endpoints.
Value metrics scorecard
Time-to-Value
4-8 weeks (phased enterprise rollout)
~45 days to first production value
Total Cost of Ownership
On request
Quote-based enterprise licensing; pricing is not published on the vendor site and a demo is required.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published
Add-on costs
- Optional Onboarding, Analyst and Technical Account Manager services (pricing not published)
Company & support
Who is behind Cyberhaven, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Not recorded
How you get support
- PhoneNot listed
- EmailNot listed
- Live chatNot listed
- Support portal / ticketsAll plans
- Community forumNot listed
- Help centre / docsAll plans
- Dedicated account managerPlan not stated
- In person / on-siteNot listed
- Hours
- Business hours
- Response time
- S0/S1 incidents covered under the Cyberhaven Support SLA, with follow-the-sun on-call engineering.
Support is in-house, not outsourced; self-service portal, knowledge base and release notes are available 24/7. Global on-call coverage for S0/S1 incidents is expanding to 5x24 in April and 7x24 in October.
“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.
Market position
Where Cyberhaven sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Cyberhaven
- Archer
- Kovrr
- Netskope
- TriNet
- Oversight
Add or change companies
Up to 10 companies including Cyberhaven. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Cyberhaven ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes agentic AI that automatically launches insider-risk investigations (Linea AI Analyst Agent) and coaches risky behaviour in real time (Linea AI Detection Agent), plus AI-driven exfiltration detection and shadow-AI discovery. No model provider, no customer-data training policy and no AI-specific audit logging is published.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Cyberhaven is an AI-native data security platform that traces the full lifecycle of data across endpoints, SaaS, PaaS and IaaS to stop exfiltration and insider risk. It combines DSPM, insider risk management and DLP with data lineage plus agentic AI agents (Linea) that automate investigations and in-the-moment coaching. It targets large, regulated enterprises, sells through demos and custom quotes, and publishes no pricing, trust/compliance page or AI model details.
Frequently asked questions
What does Cyberhaven actually protect?
Cyberhaven traces the lifecycle and lineage of data across endpoints, SaaS, PaaS and IaaS, then classifies it in context. It combines data security posture management, insider risk management and data loss prevention to stop exfiltration over web, email, removable storage, Bluetooth/AirDrop, desktop apps and generative AI tools, and to surface shadow AI usage and agent risk.
How is Cyberhaven priced?
Cyberhaven does not publish pricing; it sells through a demo-led, quote-based enterprise process. Onboarding, Analyst and Technical Account Manager services are optional paid services, so buyers should budget for professional services alongside licences and expect a custom quote rather than a public per-seat rate.
How long does implementation take?
No fixed timeline is published. Customers describe rollouts as straightforward with no staff disruption. Endpoint agent deployment plus classification and policy tuning across SaaS and cloud is a phased project, so plan to start with one priority use case such as shadow-AI visibility, IP protection or insider-risk investigation.
Does Cyberhaven meet compliance requirements such as SOC 2 or HIPAA?
The vendor states its automatic classification, real-time tracking and audit trails help prove adherence to GDPR, HIPAA, CCPA and PCI DSS. However, no security, trust or compliance page listing certifications such as SOC 2 or ISO 27001 appears on the pages reviewed, so certification status must be confirmed directly with the vendor.
How does Cyberhaven use AI?
Cyberhaven markets itself as an AI-native data security platform. Its Linea Detection Agent detects risky data handling in real time and coaches users, while the Linea Analyst Agent runs investigations and produces reports from screen activity, history and data lineage. It also discovers shadow AI and assesses agent risk. No underlying model provider or training policy is published.
Who is Cyberhaven not a fit for?
Small or mid-sized organisations without a dedicated security or IT function, and buyers who want transparent self-serve pricing or a lightweight cloud-only DLP tool, will find the enterprise sales process and endpoint agent deployment a poor fit. It is also not an OT, network or clinical-device security product.