Highlights
Introducing TrustGraph
The first trust network built for the agentic era
Read more
Age Center
Understand Incode’s approach to age assurance
Explore the Center
Introducing GovFaceMatch
The first identity solution to match biometrics against DMV records
Read more
3 years in a row named a Leader
A Leader in the 2026 Gartner® Magic Quadrant™ for Identity Verification
Download the report
A verified human behind every AI agent.
Your customers already send AI agents to log in, open accounts and pay bills. Attackers send agents too, and theirs arrive looking like customers.
Incode’s Agentic Suite detects every AI agent and binds it to a verified human with a tokenized mandate. Every action stays traceable to that person.
trust checks run on the Incode platform
model retraining for liveness, face, document and deepfake, the fastest cycle against new fraud vectors
enterprises enriching Incode’s fraud intelligence network
Incode platform figures as of October 2026.
Partner
“Agents represent a new player in the online landscape, and we need to be able to understand them, verify them, and incorporate them into the systems that we use and rely on every day.”
Kathleen Peters · Chief Innovation Officer, Experian Fraud and Identity, North America
The problem
At login, a customer’s agent and an attacker’s agent look the same.
The way through is to know who sent the agent and what they allowed.
Incode’s agentic fraud report has the numbers and the cases, and the answer starts with proving a live person is present. Read What is agentic fraud for the definition and the attack patterns.
The customer’s agent is refused, and the payment, the account or the booking goes to an organization that admits it.
of Americans would let a bank’s AI complete a financial task for them
Source: TD Bank, September 2026
US downloads of Meta’s Muse agent in its first 40 days
Attackers deployed AI agents first. The attack runs without a person, learns from every rejection and retries by the thousand.
of fraud sessions on Incode AI-assisted, 2023 to end of 2026, projected
Source: Incode Fraud Intelligence Report. 2% in Q1 2023, 32% in early 2026, 50% projected for year end
of financial institutions were attacked by an AI agent in the past year
Source: BioCatch, June 2026
The product
Incode proves a live, verified person is behind the agent, using the checks it already runs at scale, and records what that person allowed.
Built with design partners
A verified human
Verified once, live, with consent captured
A live person, physically present
Deepsight
Matched to the government’s own record
GovFaceMatch
A history across the trust network
TrustGraph
How it works
The organization sets the policy. Incode’s Agentic Suite detects the agent, binds it to the person, decides each action, watches the network and keeps the record. Each product can be bought alone. Together they cover the whole session.
Built on the Incode platform
Incode answers three questions about every person it verifies today. For an agent it adds a fourth: which verified person it acts for, and what that person allowed.
Live
Match
Good actor
Bound
The verified person behind the agent, and what they allowed: scope, amount, duration
Agentic IdentityAgent protocols issue the credential and carry the instruction. None of them verifies the person. Incode works alongside PAP, A2A, MCP, AP2 and the card networks’ mandates as that layer.
Results
Your customers are sending agents to pay bills and manage accounts. Admit those agents and keep the customer, with the same verification you run on the person.
An agent with no verified person behind it is blocked before it acts, so the loss never reaches your books.
Every agent action is tied to the person who authorized it and the mandate they set. When an action is questioned, you have the name.
Why Incode
Incode verifies against government records, owns every model, runs the cross-organization network, and serves a customer base no competitor can assemble.
A direct connection to state DMVs. The selfie is compared against the official portrait on file and the document against the DMV record, so there is nothing to forge and nothing to intercept.
Liveness, face, document, and deepfake models retrain daily, and a fix ships in hours with no supplier release cycle.
TrustGraph links people, agents, and actions across 700+ enterprises and catches up to 53% more fraud than existing models alone.
Top banks, telcos, and marketplaces connect through Incode, and 8 of the top 10 US banks already verify people with it.
Incode Agentic Suite is built for banks, fintechs, marketplaces, insurers and government agencies that want to admit their customers’ agents without admitting an attacker’s.
Resources
The definition, the attack loop, and how Incode stops it, on one page.
Read the explainerHow Incode binds every AI agent to one accountable person, with the use cases.
Read the use caseProving a live person is present, the counterpart to Know Your Agent.
Read the definitionFAQ
The questions buyers ask most about Incode Agentic Suite, answered straight.
Still have questions? Talk to an expertIncode Agentic Suite is Incode's suite of five products for AI agents acting on behalf of customers. Agent Detection finds the agent, Agentic Identity ties it to a verified person, Agent Access Management decides what it may do, Agent Monitoring flags compromised or misaligned agents, and Agent Audit records every action, so good agents get through and agentic fraud stops.
A customer's agent and an attacker's agent present the same credential, device, IP address, and behavior at login, and nothing says who sent them or what they allowed. Several of the largest US banks and brokerages blocked or limited outside agents in October 2026; Incode Agentic Suite supplies the missing signal so they can admit the customer's agent instead.
Know Your Agent (KYA) is the framework for trusting AI agents: identify the agent, bind it to a responsible person, and check its actions against policy. Incode Agentic Suite is the Incode suite that runs that framework across all five products, and Agentic Identity is the product inside it that ties each agent to a verified person and its mandate.
A mandate is the permission an agent carries: its scope, amount, and duration, which it cannot extend on its own. The organization sets the mandate, the customer narrows it, and Incode enforces it at the moment of action; the customer can revoke any agent instantly, pending actions stop, and the record stays.
Incode reads how the session behaves: timing, navigation, and automation fingerprints no person produces, plus declared agent headers. When those signals point to an agent, a two-second camera challenge confirms whether a live person is present, and the organization chooses the response: register the agent, step up to the person, or block it.
Each product runs on its own or as the full suite, so a detection signal you already have can feed the identity, access, monitoring, and audit products. Incode plugs in as the identity layer on PAP, PACT, A2A, MCP, WebMCP, AP2, ACP, Visa TAP, Mastercard, Web Bot Auth, OAuth, and W3C credentials, supplying the verified person each protocol lacks.
What's next
Let your customers’ agents in. Keep the attackers’ out.