Prevent data breaches, ensure compliance, and maintain audit trails for every agent action. Deploy securely in air-gapped environments with our offline licensing system.
Observability • Guardrails • Findings
Rulepacks, invariants, and real-time observability designed for security and compliance teams.
Block unsafe actions before execution by validating tool calls, parameters, scopes, and destinations.
Each finding includes evidence, rationale, and clear remediation steps your team can act on.
Control agent access by enforcing resource, network, and capability boundaries to limit blast radius.
Deliver high-fidelity findings in seconds and feed them into live workflows for quick remediation.
Encrypted standalone binaries for air-gapped deployments, subscription licensing, and offline validation.
API gateway with built-in guardrails. Start with our default rulepacks and create your own policies. Deploy offline with encrypted binaries for air-gapped environments.
Integrate AISentinel into your applications with our Python, JavaScript, and Go SDKs.
Visualizing the structure of a rule: conditions, actions, and metadata.
Check conditions like args or urls
Block, allow
or warn
Log findings with severity
From customer service chatbots to autonomous research agents, AISentinel protects AI deployments in regulated and high-stakes environments.
Protect customer data while maintaining helpful AI responses. Block PII exfiltration and ensure compliance with privacy regulations.
HIPAA-compliant AI agents for medical diagnosis, patient communication, and administrative tasks with complete audit trails.
Secure AI for fraud detection, trading algorithms, and customer service while maintaining regulatory compliance and data protection.
Govern AI agents handling sensitive business data, customer information, and operational workflows with enterprise-grade security.
Protect sensitive research data and intellectual property while enabling AI-assisted discovery and analysis.
Classified and sensitive AI operations with military-grade security, audit trails, and compliance reporting.
Try out the /preflight API directly. Send any proposed action (candidate) on the left and see the response on the right.
Edit the JSON object representing the tool call you want to test. This should match the format expected by the /preflight endpoint.
The response from the /preflight endpoint will appear here, showing validation results and any alternatives.
Everything you need to know about data security and privacy.
Get started free with full access to core features. Deploy AI agents safely with comprehensive security guardrails, online or offline.
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