AI Firewall
Monitor and protect every AI interaction
 in the custom-built AI apps
Build AI with confidence,
we’ve got you covered
As engineering teams begin rapidly adopting internal custom-built applications and agents, the visibility and control gap grows. Cyera’s Prompt Shield provides a developer-centric, real-time security layer for your internal AI environment. Evaluate the intent, context, and data within every prompt to block risks before they reach the model. Support rapid innovation without sacrificing your competitive edge with the Prompt Shield API.
Security for your custom-built AI apps
Stop requiring developers to secure every new AI feature they build with custom code. Use a single API to assess prompt risk levels against your global enterprise policies in real-time. Consistently enforce across every internal app and agent without slowing down release cycles.
Unified visibility for internally-built AI
Custom-built apps are often a black box. AI Firewall shines a light on every interaction. Build a living inventory of all custom agents in your enterprise. Know exactly which apps are touching your most sensitive datastores. Map internal AI activity to specific user and session IDs.
Real-time guardrails with deep forensics
Move beyond static RegEx and pattern matching. Cyera understands the actual intent behind a prompt, allowing you to block complex threats like prompt injection or safety-filter bypasses. Automatically identify policy violations and maintain a complete audit trail for compliance with global regulations like the EU AI Act.
Cyera Named a Leader in The Forrester Waveâ„¢: Sensitive Data Discovery And Classification Solutions, Q2 2026
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FAQs
Real-time Governance provides instant policy enforcement for Custom AI Applications through automated risk assessment APIs that evaluate prompts against enterprise security policies, data classification, and intent understanding without slowing application performance.
AI Security systems implement real-time allow/block decisions at the application level, intercepting risky data exchanges before they reach AI models while maintaining complete audit trails for compliance.
AI interactions are inherently unstructured. Traditional API security cannot identify the risky intent or sensitive data leakage hidden within an interaction. This makes specialized protection necessary to secure the data custom AI touches.
AI Security governance provides living inventories of all custom agents, mapping internal AI activity to specific user and session IDs while identifying which applications access sensitive data.
Real-time Governance automates policy enforcement through APIs that assess risk levels instantly, providing complete audit trails and forensic capabilities without adding delays to user experiences.
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