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Risk & ComplianceNew to marketNewest entrant

WitnessAI

One platform to secure your human and agentic workforce.

By WitnessAI · 3.5/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Enterprises rolling out generative AI and autonomous agents that need visibility, policy enforcement and audit trails across human and agentic workforces
  • Security, risk and compliance teams that must control shadow AI, stop sensitive-data leakage and prompt injection, and prove governance to auditors
  • Platform and developer teams governing AI coding agents, approved MCP servers and tool access

Ideal size: 1,000+ employees people · Regulated enterprise with a security or AI governance function and broad employee AI use

Not for

  • Small teams or startups wanting a low-cost, self-serve AI security tool with published pricing
  • Buyers who need to build or host their own AI applications; WitnessAI governs AI, it does not build it
  • Organizations that only need a prompt-filtering proxy and no governance, audit or FinOps layer

Value metrics scorecard

Time-to-Value

About 4-8 weeks

~30 days to first production value

Total Cost of Ownership

On request

Quote-based enterprise pricing, sold through demo requests; no public price list, seat tier or implementation fee is published on witness.ai

Implementation Friction

3/5

Engineering + admin effort required

Value-Position score

3.5

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Not listed

Add-on costs

  • None

Company & support

Who is behind WitnessAI, 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 / ticketsPlan not stated
  • Community forumNot listed
  • Help centre / docsNot listed
  • Dedicated account managerNot listed
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Not stated

Support requests are submitted through the form on witness.ai/support. No support phone line, email address, published SLA or support hours are stated, and the contact page form is sales-oriented.

“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 WitnessAI 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

$0/yr$1/yr26d31d36d68d100dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyWitnessAIResistant AINapier AIChainalysisMitekBioCatch

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

WitnessAI is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • WitnessAI
  • Resistant AI
  • Napier AI
  • Chainalysis
  • Mitek
  • BioCatch
Add or change companies

Up to 10 companies including WitnessAI. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNot supported
Microsoft 365Not supported
SAPNot supported
SlackNot supported

AI & MCP readiness

What WitnessAI ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
AI governance toolingAnomaly detection

The platform's core job is governing AI: cataloging AI apps, agents and MCP servers, logging AI interactions, applying policies by role, department or intent, redacting sensitive data, routing prompts and emitting audit trails. Detection is powered by the vendor's intent-based ML engines and its NER-D sensitive-data model.

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
Full audit trail

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

WitnessAI is an enterprise AI security and governance platform. It observes AI use across employees, applications, models and MCP servers; enforces policy, routing and MCP/tool controls; and adds runtime guardrails against prompt injection, jailbreaks and data leakage. Granular audit trails trace agent actions back to human identities, and the platform covers AI FinOps, compliance and developer-workflow use cases. It is sold demo-led to enterprises and publishes no public pricing.

Frequently asked questions

What does WitnessAI actually do?

WitnessAI is an AI security and governance platform. It discovers and catalogs the AI applications, agents and MCP servers in use, shows AI conversations and agentic activity, and applies behavior-based controls: policy by role, department, intent or workforce type, model routing, real-time redaction of sensitive data, and enforcement of approved MCP servers and tools. It also provides runtime protection against prompt injection and jailbreaks, plus audit trails and AI spend reporting.

How much does WitnessAI cost?

WitnessAI does not publish pricing. Buying starts with a demo request via witness.ai/contact, so pricing is quote-based and typically negotiated for enterprise deployments. Budget for an annual platform subscription plus internal effort to deploy and configure policies and integrations; no public starting price, seat tier or implementation fee is available.

How long does it take to go live?

WitnessAI publishes no implementation timeline or SLA. Enterprise deployments of AI gateways and governance layers are usually phased over several weeks: connect the platform, inventory AI apps, agents and MCP servers, then turn on enforcement. Treat any timeline as vendor-specific and confirm a rollout plan and success criteria in the sales process.

Does WitnessAI use our data to train its models?

No statement either way was found. WitnessAI's privacy policy describes collecting and analyzing AI interactions to monitor policies and detect sensitive-data leaks, but it does not say whether customer data is used to train or improve models. Ask for a written data-use commitment before signing.

Which compliance certifications does WitnessAI hold?

None are evidenced on the pages reviewed. WitnessAI markets a secure single-tenant environment with data sovereignty, real-time masking of sensitive data and granular audit trails, and says customers can meet industry regulations such as PCI DSS 4.0.1, but no SOC 2, ISO 27001, HIPAA or FedRAMP certification is claimed on a trust or security page. Request current attestations during due diligence.

Does WitnessAI work with MCP servers?

Yes. WitnessAI inventories MCP servers, shows which external servers and tools agents connect to, and enforces control of approved MCP servers and tools across agents, IDEs and agentic applications. It governs MCP usage; the pages reviewed do not indicate that WitnessAI ships an MCP server of its own.