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AI Verification

Verify everything AI touches.

Agents, identity, content, documents, synthetic media, and hiring workflows on one evidence-grade platform built for the agentic era.

Book an AI verification demoRead the AI verification playbook

deepidv

AI verification command center

Policy mesh
live
Agent checkoutMCPReview
Paystub uploadDocBlock
Creator postUGCLabel
Video KYCMediaStep-up

47B

Agents

95%

Content

<60s

Hiring

Live decision

Review required

97%

Latency

<150ms

Action

Step-up

MCP agent identity verified before tool access
Synthetic media and document signals attached
Policy decision exported with audit ID
0B+

AI agent transactions verified annually

<150ms

Decision latency on real-time rails

0%+

AI-generated document detection accuracy

0+

Countries and jurisdictions covered

The Stack

Eight verification surfaces. One operating layer.

Deploy one product, or run the whole command center across every workflow where AI creates, acts, or impersonates.

MCP

Arc

Verify AI agents at the MCP server boundary. Identity, intent, and authorization before tool access.

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Analyst

Luna

Compliance co-pilot for SAR drafting, adverse media sweeps, and evidence explanations.

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Risk

Arbiter

Real-time risk decisioning with sub-150ms scoring and full explainability.

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Forensics

AI Document Verification

Detect AI-generated paystubs, IDs, receipts, contracts, and medical records.

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C2PA

AI Content Detection

C2PA-aligned authenticity checks for user-generated content uploads.

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Live media

Synthetic Media Defense

Deepfake video, voice clone, and AI image detection at contact surfaces.

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Hiring

AI Employee Verification

NK IT worker fraud, fake resume detection, and deepfake interview defense.

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How it works

One receipt for every AI-touched decision.

deepidv turns a messy mix of agent behavior, media signals, document evidence, and policy into one defensible decision record.

01

Intercept the moment of trust

An agent request, uploaded asset, applicant file, call, or onboarding event hits the verification boundary before the workflow proceeds.

02

Score the right signal mesh

Specialized detectors inspect identity, provenance, media artifacts, document metadata, behavioral patterns, and declared agent capabilities.

03

Apply your policy

The result maps into your configured action: allow, label, step-up, route to review, block, or keep monitoring.

04

Attach the evidence

Every decision returns the markers, model version, confidence interval, rationale, and audit ID your team can defend.

Why deepidv

Built from the protocol layer up.

The platform is designed for regulated AI operations, not bolted onto a legacy IDV flow.

MCP-native

Purpose-built for the Model Context Protocol boundary, where agent identity and authorization need to be verified before server contact.

Sub-150ms decisions

Fast enough to gate FedNow, RTP, agent sessions, onboarding steps, and contact-center actions in-flow.

Explainable by default

Every verdict returns the evidence chain, confidence interval, counterfactual context, and model version.

Examination-ready

Designed for FFIEC, OCC SR 11-7, EU AI Act transparency, and enterprise audit expectations.

Trusted context

Built for banks, fintechs, platforms, and AI operators.

Drops into the AI stack you already run. Connect the agents, channels, and data systems where verification has to happen — no rip-and-replace.

Who uses it

Built for every AI-touched surface.

Banks & FinTechs

Agent verification at MCP boundary, AI document detection at underwriting, deepfake defense at customer service

E-Commerce

AI shopper agent verification, AI-generated review detection, friendly-fraud defense

Content Platforms

C2PA authenticity for UGC, AI-generated content labeling, creator verification

Enterprise HR

NK IT worker defense, AI resume detection, deepfake interview screening

Ready when you are

Verify everything AI touches.

Talk to an AI verification architect and map the first boundary worth protecting.

Book a demoRead the playbook

Decision record

Evidence attached

Audit trail

Signal chain

Built to fit the workflow you already run.

FAQ

Let's answer your questions.

AI verification is the umbrella term for verifying anything that AI creates or operates: autonomous agents that act on a user's behalf, AI-generated content uploaded to platforms, AI-generated documents in financial workflows, deepfake media in calls and customer service, and AI-aided fraud at onboarding. deepidv covers all five surfaces on one platform.
Traditional KYC verifies humans. AI verification adds three more surfaces: agents (Arc, Luna), AI-generated content (deepeye, AI Document Verification, AI Content Detection), and AI-aided fraud at onboarding (Arbiter synthetic identity scoring). Same platform. Expanded scope.
You can run deepidv alongside your existing IDV vendor or replace it. Most enterprise customers start with the AI-specific products (Arc, Luna, AI Document Verification) and consolidate broader IDV onto deepidv over time.
MCP is the emerging standard for how AI agents talk to servers and tools. As enterprise AI agents get deployed, every MCP server needs to verify the agent making the request. Arc is the verification gateway purpose-built for that boundary.
Sub-150ms for risk scoring on real-time rails like FedNow and RTP. Sub-200ms for deepfake detection. Sub-500ms for AI document detection. Fast enough to gate authorization in-flow.
Yes. Every decision returns a full evidence chain aligned to FFIEC examination expectations, OCC SR 11-7 model risk management, and EU AI Act transparency requirements. Audit trail is immutable and exportable.
No. Each product ships independently and can be deployed on its own. Most customers start with one or two surfaces and expand. Volume pricing applies across the platform.
Arc and Luna deploy in under 30 days for most customers. Document and content detection products deploy in under 14 days via API or SDK. Synthetic Media Defense deploys in under 7 days for contact center and video conferencing integrations.