AgentWatch applies one set of security and compliance controls to every AI application in the enterprise, and records the evidence auditors ask for.
At a glance
- Best for: Regulated enterprises in healthcare, financial services, insurance and energy
- Problem: Inconsistent controls and no audit trail across internal AI tools
- Outcome: Consistent DLP and guardrails on every request, with audit-ready logs aligned to major frameworks
The challenge
In regulated industries, AI adoption tends to happen one team at a time. Each assistant, agent or internal tool connects to its own provider with its own keys and settings. The result is a patchwork that is difficult to secure and nearly impossible to audit.
- Prompts may contain PII, PHI, card data or credentials with no consistent scanning
- API keys are scattered across teams and applications
- Policies differ from one tool to the next
- When auditors ask who used which model, with what data and under which policy, there is no single record to answer
How AgentWatch solves it
- Connect. Applications point to a single OpenAI-compatible AgentWatch endpoint with minimal code changes.
- Scan. Each request runs inside a security capsule that scans for PII, PHI, financial data and secrets.
- Enforce. Policies block, warn or allow each request before data leaves the environment.
- Record. Every interaction is logged with the user, model, time and policy applied.
- Retain. Data classification and configurable retention policies keep records as long as required, including seven-year retention for SOX.
Key capabilities
- Security capsules for guardrailing and sandboxed enforcement on every request
- DLP detection for PII, PHI, financial data and secrets
- Controls aligned to GDPR, HIPAA, SOX, PCI-DSS, SOC 2 and ISO 27001
- AES-256-GCM encryption for API keys at rest
- JWT authentication and role-based access control
- Deployment on-premise, in a cloud VPC or as SaaS
Example scenario
A hospital system runs several AI tools for documentation, scheduling and billing support. With AgentWatch in front of every tool, a prompt containing a patient identifier is detected and handled under HIPAA-aligned policy before it reaches the model. When the compliance team prepares for an audit, it pulls a complete record of AI interactions by user, model and policy.
Who benefits
- Compliance officers: Map AI controls to the frameworks your organization reports against.
- CISO and security: Enforce consistent DLP and guardrails across every AI application.
- Legal and audit: Produce audit-ready records of AI interactions on request.
- IT and platform teams: Replace scattered API keys with one governed endpoint.
Frequently asked questions
Which compliance frameworks does AgentWatch support?
AgentWatch provides configurable controls aligned to GDPR, HIPAA, SOX, PCI-DSS, SOC 2 and ISO 27001.
Can AgentWatch run inside our own environment?
Yes. AgentWatch can be self-hosted on-premise or in a cloud VPC, deployed as SaaS, or run in a hybrid model that brings private models and public providers under one policy plane.
Make every AI interaction auditable. Schedule a demo of AgentWatch.
