Side-by-side compare
Up to 3 solutions, scored on the same value metrics.
ROI categoryrisk compliancerisk compliance
Time-to-Value2–4 weeks (~30d)2–4 weeks (~30d)
Typical annual TCO$0/yr$0/yr
Starting price$0/yr$0/yr
Implementation feeNoneNone
Seat tiersCustom enterprise agreements; pricing not publishedEnterprise-wide agreements; no published seat tiers
Implementation friction3/52/5
Friction meter
Best forEnterprises rolling out LLMs, RAG applications, and AI agents that need discovery, policy enforcement, and runtime protection in one platform.; CISOs and security teams facing shadow AI, prompt injection, or agent scope violations that endpoint and network controls cannot see.; Regulated organizations that need audit-ready evidence and session-level context for AI governance and compliance reviews.; Companies standardizing on Claude Enterprise, Claude Code, or MCP-based agents and needing governed visibility into that usage.; Security teams that want policy defined once and enforced at existing control points (agent hooks, MCP/AI gateways, SDKs, APIs) instead of one gateway.Enterprise SOCs with high alert volume across identity, cloud and EDR telemetry; Security leaders who want tier-1 triage, enrichment and investigation run by AI agents; Buyers who prefer an outcome-based service over another console to operate; Organisations that need faster investigation throughput without hiring more analysts
Not forSmall teams or startups with little AI or agent adoption; value scales with the size of the AI estate.; Buyers wanting a low-cost self-serve tool; Noma is sold as an enterprise platform through a demo.; Teams expecting inline blocking of Claude Enterprise activity; the Compliance API connector is monitoring only by design.; Organizations that want a single chokepoint gateway for all AI traffic rather than distributed enforcement.Small teams with no dedicated security operations function; Buyers requiring publicly listed pricing before evaluation; Organisations that must keep all security data on-premises (no such deployment is documented)
Stack fit matrix
SalesforceNot supportedNot supported
AWSIntegrationNot supported
SnowflakeNot supportedNot supported
HubSpotNot supportedNot supported
Google WorkspaceNot supportedNot supported
Microsoft 365Not supportedNot supported
SAPNot supportedNot supported
SlackNot supportedNot supported
MCP (Model Context Protocol)Custom buildNot supported
Compliance
SOC 2 Listed Listed
ISO 27001 Listed Not listed
GDPR Listed Not listed
HIPAA Listed Not listed
FedRAMP Not listed Not listed
CMMC Not listed Not listed
ISO 42001 Listed Not 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 recorded2024 (2 yrs)
HeadquartersNew York, USNot recorded
PhoneNot listedNot yet recorded
EmailNot listedNot yet recorded
Live chatNot listedNot yet recorded
Support portal / ticketsNot listedNot yet recorded
Community forumNot listedNot yet recorded
Help centre / docsNot listedNot yet recorded
Dedicated account managerNot listedNot yet recorded
In person / on-siteNot listedNot yet recorded
Support hoursNot recordedNot yet recorded
Response timeTypically within one business day (security questions)Not yet recorded
AI & MCP readiness
Whether each solution can join your AI stack, and what it asks of you to do so.
MCP connectionreaches AI clientsCustom buildNot supported
AI featuresAI governance tooling; Agentic workflows; Anomaly detectionAgentic workflows
Built around AI?Not recordedAI-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
Implementation friction × Value-Position score (estimate)
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
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