Side-by-side compare
Up to 3 solutions, scored on the same value metrics.
ROI categoryrisk compliancerisk compliance
Time-to-Value4-8 weeks (phased enterprise rollout) (~45d)Under 2 weeks (~14d)
Typical annual TCO$0/yr$0/yr
Starting price$0/yr$0/yr
Implementation feeNoneNone
Seat tiersNot publishedNot listed
Implementation friction3/52/5
Friction meter
Best forLarge 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.Security teams replacing legacy secure email gateways (SEG) with API-based, autonomous detection; Organizations on Microsoft 365 or Google Workspace that want deployment with no agents or MX changes; Enterprises needing behavioral detection of BEC, account takeover, credential phishing and GenAI social engineering; Security leaders who want AI to investigate and respond autonomously while showing evidence; Companies that also need identity hardening and governance of internal AI agent/tool use
Not forSmall 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.Very small businesses looking for a low-cost, self-serve email filter with published list pricing; Teams without security operations capacity to configure and tune enterprise security controls; Buyers who require public per-seat pricing and self-service signup before a sales process; Organizations that need an SMB-grade spam filter rather than behavioral threat detection
Stack fit matrix
SalesforceNot supportedNot supported
AWSNot supportedNot supported
SnowflakeNot supportedNot supported
HubSpotNot supportedNot supported
Google WorkspaceNot supportedNative
Microsoft 365Not supportedNative
SAPNot supportedNot supported
SlackNot supportedNot supported
MCP (Model Context Protocol)Not supportedNot supported
Compliance
SOC 2 Not listed Listed
ISO 27001 Not listed Listed
GDPR Not listed Listed
HIPAA Not listed Not listed
FedRAMP Not listed Not listed
ISO 42001 Not listed Listed
IAPP AIGPnamed staff Not listed Not listed
Company & support
Who is behind each solution, and how you reach support. “Not listed” means the vendor’s public pages don’t mention a channel, not that it is unavailable.
FoundedNot recorded2018 (8 yrs)
HeadquartersNot recordedNot recorded
PhoneNot listedNot listed
EmailNot listedNot listed
Live chatNot listedNot listed
Support portal / ticketsAll plansPlan not stated
Community forumNot listedNot listed
Help centre / docsAll plansNot listed
Dedicated account managerPlan not statedNot listed
In person / on-siteNot listedNot listed
Support hoursBusiness hoursNot recorded
Response timeS0/S1 incidents covered under the Cyberhaven Support SLA, with follow-the-sun on-call engineering.Not stated
AI & MCP readiness
Whether each solution can join your AI stack, and what it asks of you to do so.
MCP connectionreaches AI clientsNot supportedNot supported
AI featuresAgentic workflows; AI governance toolingAnomaly detection; Predictive analytics; Agentic workflows
Built around AI?AI-nativeAI-native
Trains on your dataNot recorded — ask the vendorNot recorded — ask the vendor
Runs onNot recordedNot recorded
AI pricingNot recordedNot recorded
Model keyNot recordedNot recorded
AI usage auditNot recordedNot recorded
Quadrant view
Where the 2 selected solutions land on the same value plane. Toggle axes to compare on cost, speed, friction, or buyer score.
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.
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