AI Security for Applications

Secure the AI you build. From training to runtime.

Protect homegrown AI applications and agents from runtime threats.

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Today’s Challenges

Unlock AI productivity, not AI risk.

Prompt injection attack diagram
Data leakage through AI app diagram
Ungoverned agents lateral movement diagram
Lifecycle gaps across AI environments diagram

Prompt injection & jailbreaks

Attackers manipulate prompts to bypass guardrails and force off-policy responses: exploits that traditional controls never see.

Sensitive data leaks through AI apps

AI applications can expose customer data, secrets, and proprietary context via prompts and actions.

Ungoverned homegrown agents

The agents you build act on real systems and data. Without runtime guardrails they enable unauthorized access with no traceability.

Blind spots across the AI lifecycle

LLM apps, RAG workflows, and AI features sprawl across environments with no single view of what exists or its risk.

Prompt injection

Data leakage

Ungoverned agents

Lifecycle gaps

Our approach

Protect homegrown AI
without slowing your builders.

Your teams are shipping AI features faster than security can review them. Cato protects the AI applications you build — inspecting prompts, responses, and data in line — so you can prevent leakage and abuse without slowing your developers down.

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Discover & inventory

Cato creates a single view of every AI application and agent across environments, capturing provenance and risk metadata.

Enforce runtime guardrails

Cato’s AI-Firewall inspects prompts, responses, and agent actions at runtime, blocking or redacting noncompliant actions before impact.

Centralize policy & governance

One control plane enforces consistent policy across every app and agent, with a single source of truth for compliance and incident response.

ebook

Top 4 AI Security Challenges CISOs Face

How it works

AI Security for Applications Capabilities

Discover and inventory AI apps and agents

See every AI app and agent

Create a single view of every AI application and agent across environments.

Discover and inventory AI services automatically

Capture provenance and risk metadata

Tie pre-production posture and scans to runtime guardrails

Agentless

Flexible, lightweight deployment

Deploy via proxy interception, AI-gateway integrations, or APIs into model platforms and developer tools.

Integrate with AWS Bedrock, Azure ML, and others

Flexible deployment via API, Proxy, or AI Gateway

Minimal operational overhead, preserved performance

Cato AI-Firewall

Enforce runtime guardrails

Inspect prompts, responses, and agent actions at runtime and act before anything leaves.

Detect jailbreaks, prompt injection, and off-policy responses

Block or redact noncompliant actions inline

Stop unsafe outputs before they reach users or external models

Agents you build, anywhere

Secure homegrown AI agents

Secure and govern the agents you build locally or on managed platforms.

Block agentic exploits at runtime

Prevent unauthorized access and data exfiltration

Preserve full traceability of agent actions

Cato AI Labs + Detection Engine

Detection backed by research

Combine vulnerability research with semantic encoders and AI-native classifiers to detect zero-day threats.

Detect jailbreaks, prompt injection, and agentic exploits

Understand intent, not just keywords

High-fidelity, low-latency protection with minimal false positives

One control plane

Centralize policy for homegrown apps

Create risk-based policies for homegrown apps and agents across the AI surface.

One policy across the entire AI surface

A single source of truth for governance and compliance

Operational confidence for incident response

See it in action

Watch how Cato does it

Secure Enterprise AI Apps and Agents

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Customer Stories

Customers love Cato

“

We put Cato AI Security in line with our customer-facing admin agent—a type of AI product we released to the market. Cato AI Security provided the additional protection we needed by masking sensitive parts of the data that customers unintentionally put into the chat.

Nithin Reddy

VP Security, Dayforce

Nithin Reddy

VP Security, Dayforce

We put Cato AI Security in line with our customer-facing admin agent—a type of AI product we released to the market. Cato AI Security provided the additional protection we needed by masking sensitive parts of the data that customers unintentionally put into the chat.

Nithin Reddy

VP Security, Dayforce

Doug Innocenti

CIO/CSO, MoonPay

Having the right AI security solution gave me the confidence to say yes to the business. It didn’t just protect us — it accelerated our AI adoption because I could enable our teams instead of blocking them.

Doug Innocenti

CIO/CSO, MoonPay

Get a live demo

Secure every interaction across the enterprise, cloud, and AI with the only purpose-built SASE platform.

What to expect

15–30 minute session with a SASE product expert

Discuss your use cases and how we can help

Live product demonstration where applicable

Get Started

See Cato in Action

What’s new

AI Security resources in one place

SOLUTION BRIEF

AI Security Solution Brief

WEBINAR

Secure Your AI Transformation

SOLUTION BRIEF

AI Detection Engine Solution Brief

CHECKLIST

What CISOs Must Ask AI Security Vendors