AI Security for Applications
Secure the AI you build. From training to runtime.
Protect homegrown AI applications and agents from runtime threats.
Block jailbreaks. Stop prompt injection.
Cato's AI-Firewall inspects every prompt, response, and agent action at runtime.
Govern every agent you ship. Standalone or in SASE.
Secure the agents you build locally or on managed platforms.
Your AI apps are a new attack surface.
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.
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.
Watch the webinar
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.
Top 4 AI Security Challenges CISOs Face
AI Security for Applications Capabilities
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
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
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
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
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
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
Watch how Cato does it
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.
Get a live demo
Secure every interaction across the enterprise, cloud, and AI with the only purpose-built SASE platform.
15–30 minute session with a SASE product expert
Discuss your use cases and how we can help
Live product demonstration where applicable
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