Agentic AI | Transmit Security

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Agent Intelligence​

Customer-facing applications have a new type of user.

Autonomous AI systems now browse, compare, purchase, and support your customers. Some attack your business, and most organizations can’t see any of them. Agent Intelligence gives enterprises the visibility and control to operate safety in the Autonomous Internet.

 
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Agentic
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NEW PARADIGM

A Fundamental Shift is Underway.

For the last 25 years, customer-facing applications were built on one assumption: every interaction came from a human.

Identity verified people. Fraud systems evaluated people. Behavioral analytics learned from people. Authorization granted permissions to people.

That assumption is no longer true.

Autonomous systems now interact directly with your applications. Some help customers. Some optimize business processes. Some look for vulnerabilities. Some commit fraud. And most organizations cannot tell them apart.

1995 — 2025 The Human Internet
Humans Authentication Fraud Detection Authorization
2026 + The Autonomous Internet
Humans Autonomous Systems ???
No established model exists yet.
new challenge

Existing Security Wasn’t Built For Autonomous Interactions. ​

Legacy Approach
Identity Who is this user?
Fraud Is this transaction risky?
Bot Detection Is this automated?

Answers the wrong question.

Modern Approach

What autonomous system is interacting with my application, what is it trying to accomplish, and how should I respond?

This is the gap.

Meet Agent Intelligence

Agent Intelligence is the new runtime intelligence layer for customer-facing intelligence. It let’s you:

See

Detect the autonomous systems interacting with your applications, in real-time, whether or not they announce themselves.

Understand

Determine each system’s identity, behavior, intent, and business impact, so a helpful shopping agent and a hostile script are never treated the same way.

Control

Apply real-time policies that let trusted agents through and stop malicious ones before they reach your business.

Old mindset: Authenticate the user.

From Authentication to Understanding.

Old mindset

Knowing who signed in is no longer enough. A runtime decision now depends on understanding whether the interaction is coming from a person, an AI assistant, a shopping agent, or a malicious autonomous system, and whether that behavior should be trusted at all.

This is the reframe. It is a different problem, not another signal bolted onto the old one.

Person
AI Assistant
Shopping Agent
Malicious
Autonomous System
Trusted Conditional Blocked

The Autonomous Internet Needs a New Intelligence Layer

Twenty years ago, enterprises added identity platforms because passwords weren’t enough. Then they added fraud platforms because authentication wasn’t enough. Today they’re adding Agent Intelligence, because neither identity nor fraud was built for autonomous interactions.

Agentic AI - The Transmit Security Approach 1
One Intelligence Layer

Agent Intelligence for every customer interaction.

Identity
Fraud
Device
Behavior
Agent Intelligence New
Predictive AI
Runtime Decisions

Key Use Cases

01

Distinguish trusted AI assistants from malicious autonomous systems.

Not all automation is a threat. Tell the agent helping your customer apart from the script probing for weaknesses, and treat each accordingly.

02

Detect reconnaissance before fraud begins.

Autonomous attacks start by mapping your application. Catch the exploration phase and you stop the fraud before it has a target.

03

Understand how autonomous systems explore customer journeys.

See the paths agents actually take through your flows, where they concentrate, and what they are trying to reach.

04

Protect account recovery from autonomous abuse.

Reset and recovery flows are prime targets for automated takeover. Spot autonomous pressure on those paths as it happens.

05

Enable trusted commercial agents without sacrificing security.

Shopping and booking agents are becoming real revenue. Let the legitimate ones complete transactions while everything else stays under control.

06

Build policies specifically for autonomous interactions.

Stop forcing agents through rules written for humans. Set conditions built for machine actors and enforce them at runtime.

See what your applications can’t.

Schedule a personalized demonstration of Agent Intelligence and discover how autonomous systems are already interacting with your customer-facing applications.

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