Prismor

Secure enterprise AI agents with a policy enforcement layer that governs every tool call before it executes. Prismor acts as a security control plane between AI agents and the systems they access, helping organizations enforce guardrails, protect sensitive data, and maintain complete visibility into agent activity without replacing existing agent frameworks.

Govern AI Agent Actions Before They Execute

Intercept every tool invocation, evaluate it against configurable security policies, and decide whether the action should be allowed, blocked, or modified before it reaches production systems.

Whether you're deploying AI agents for engineering, operations, customer support, or internal automation, Prismor helps ensure autonomous agents operate within approved security and compliance boundaries.

Key Features

Tool Call Interception

Inspect every agent action before execution.

Monitor calls made through:

• AI tools
• APIs
• MCP workflows
• External services
• Internal systems

to enforce security controls in real time.

Policy Enforcement

Apply configurable security rules to every agent request.

Policies can:

• Allow actions
• Block requests
• Mask sensitive data
• Restrict operations
• Enforce approval workflows

before execution begins.

Secret Protection

Prevent confidential information from reaching AI models.

Protect:

• API keys
• Access tokens
• Credentials
• Sensitive values
• Configuration secrets

through automated masking and filtering.

Audit & Activity Logging

Maintain complete visibility into agent behavior.

Record:

• Tool arguments
• Execution outcomes
• User identities
• Sessions
• Timestamps

to support governance and compliance.

Environment & Policy Management

Keep security controls consistent across deployment environments.

Manage:

• Production policies
• Staging environments
• Local development
• Policy versioning
• Configuration history

through centralized governance.

Security Monitoring & Integrations

Connect AI security events to existing operational workflows.

Integrate with:

• Datadog
• OpenTelemetry
• New Relic
• Splunk
• Grafana
• Slack
• Email
• Webhooks

for monitoring and alerting.

Built for Enterprise AI Governance

Prismor helps organizations secure AI agents by introducing centralized policy enforcement, visibility, and auditability across existing agent frameworks and tool ecosystems.

Key benefits include:

• AI agent security
• Tool call governance
• Policy-based enforcement
• Enterprise audit trails
• Agent observability

Built For

• Security Teams
• Platform Engineers
• AI Engineering Teams
• DevSecOps Teams
• Enterprise IT
• Compliance Teams

Common Use Cases

• AI agent governance
• MCP security
• Tool call authorization
• Secret protection
• AI compliance
• Enterprise AI monitoring

Why It Matters

As AI agents gain access to production systems, credentials, and business-critical tools, organizations need controls that extend beyond application-level permissions. Prismor introduces a security layer between agents and their tools, allowing every action to be inspected, governed, and logged before execution. By combining policy enforcement, secret protection, audit trails, environment-aware controls, and integrations with existing observability platforms, organizations can safely deploy AI agents while maintaining visibility, compliance, and operational control.

Secure AI Agents Without Rebuilding Your Stack

Intercept every tool call, enforce security policies, protect sensitive information, audit agent behavior, and govern AI workflows across your existing frameworks with an enterprise AI security control plane.