ThreatLens protects enterprise data across employees and AI applications by inspecting prompts and files, classifying data, and enforcing security policy before it reaches an AI model.
Adopt AI with confidence while maintaining security, privacy, compliance, and operational control.
ThreatLens AI Security Control Plane
Inspect · Classify · Enforce · Route · Audit
GenAI is already in your org.
ThreatLens makes it safe, and visible.
Employees paste source code, customer data, and contracts into public AI tools every day. ThreatLens gives them an approved way to work with AI, and gives security a single place to see, govern, and prove it.
From discovery to audit, everything you need to adopt AI safely across the enterprise.
Identify sanctioned and unsanctioned AI usage across the organization.
Inspect prompts and files for sensitive information before data leaves the organization.
Control which users can access which models and services.
Direct requests to approved public or private AI models based on policy.
Maintain complete visibility into AI usage, prompts, and policy decisions.
AI governance is a shared mandate. ThreatLens gives each team what they need to move forward with confidence.
Quantify and shrink AI exposure across every team, tool, and model, with evidence to back it.
Give the business approved AI access without slowing innovation or adding friction.
Apply policy consistently and prove it with audit-ready evidence on every interaction.
Stop sensitive data from leaving in prompts and files, in real time.
Governance, data protection, real-time control, and compliance, applied to every AI interaction across your organization.
Audit trails, session logging, and regulatory evidence, with data residency controls and compliance reporting.
Allow, redact, block, or route to an approved model, with granular model access control on every request.
Full visibility into AI usage across the organization, with risk monitoring, policy management, and user behavior analytics.
PII, source code, credentials, and financial data protection, with deep file inspection on every prompt and upload.
One control plane governs every AI interaction, without replacing the tools your teams already use.
Every request, from a chat window, an IDE plugin, or an internal app, is intercepted, inspected, and decided in milliseconds before it ever reaches an AI provider.
Inspects every prompt and file against your DLP engines and policies, then decides, in real time.
Employees get the AI they need, while sensitive data is redacted, kept in a private model, or blocked, with a full audit trail.
Policy decidesEnterprise users work with AI freely. ThreatLens inspects every request. Your data stays governed.
One gateway in front of the consumer AI apps, enterprise applications, and private models your teams already use.
ChatGPTOpenAI
ClaudeAnthropic
GeminiGoogleBuild policies from conditions, data classes, groups, and providers. The gateway applies the right action automatically, in line.
Clean requests pass straight through to the approved model with full logging.
Logged & auditedStrip emails, phone numbers, secrets, and PII from the prompt before it's sent, automatically.
Sensitive values removedStop database dumps, credentials, and restricted files at the edge. Nothing reaches the provider.
Stopped at the gatewaySend confidential and regulated data to an approved private or local model that never leaves your tenant.
Stays in-houseThreatLens gives every employee an approved, policy-checked AI assistant for everyday work. They can draft, summarize, and analyze while the gateway checks prompts and files before anything reaches an AI provider.
See every prompt flowing through the gateway, what sensitive data was detected, and which policy decided it. Triage incidents, investigate activity, and export board-ready reports.
Understand how AI is used across your organization and identify unsanctioned, shadow AI usage before it creates compliance or security risk, with continuous AI usage monitoring and full risk visibility.
Illustrative figures from a representative deployment.
ThreatLens connects to the DLP engines, identity systems, and AI providers your organization already runs.
Connect your existing DLP as authoritative, advisory, or most-restrictive-wins policy inputs over standard ICAP or REST.
Prebuilt connectors for the DLP engines your organization already runs.
Route employee AI requests only to the model providers and deployment options your organization approves.
OpenAI
AnthropicGoogle GeminiAvailable integrations depend on your deployment model. Bring your approved AI providers via configurable provider connections.
Every decision the gateway makes is tied to a policy and written to an immutable record, so you can show regulators, auditors, and your board exactly how AI is used.
SOC 2 (In Process) · deploy in cloud, private cloud, or air-gapped.
Deploy the gateway in your cloud, a private VPC, or fully air-gapped on-premises, with a local model option so confidential data never leaves your environment.
Explore our Trust Center →Most AI security products stop at prompt filtering. ThreatLens combines data protection, governance, access control, intelligent routing, and auditability into a single AI Security Platform.
Run ThreatLens in the model that matches your security, data-residency, and compliance requirements.
Fast deployment.
Fully managed and continuously updated, live in days, not quarters.
Dedicated environment.
Your own isolated tenant, in the cloud and region you choose.
Maximum control and compliance.
Runs entirely inside your network, data never leaves your environment.
One company, one mission, investigation-grade truth and governed security across your stack and your AI.
What security, governance, and compliance teams ask most before rolling out the gateway.
The ThreatLens AI Security Platform helps organizations securely adopt AI by protecting sensitive data, enforcing security policy, controlling AI access, and maintaining visibility across AI interactions.
As employees increasingly use AI tools, organizations need visibility, policy enforcement, and data protection controls to reduce risk and maintain compliance.
The ThreatLens AI Security Platform can control access to public and private AI models, including ChatGPT, Claude, Gemini, Azure OpenAI, AWS Bedrock, and organization-hosted models.
Yes. The platform inspects prompts and uploaded files to identify sensitive information and enforce organizational security policy.
At four enforcement points: a browser extension for ChatGPT, Claude, Gemini and other AI websites; a desktop agent for what enterprise users paste into the ChatGPT and Claude desktop apps; the AI gateway and API for enterprise apps, Microsoft 365 Copilot and approved models; and controls for AI agents and MCP servers. Every request follows the same inspection, classification and policy path, and the decision is enforced where the action happens.
Yes. ThreatLens applies policy to agent tool calls to MCP servers, per server and per tool, and allows or blocks each call before it runs. Every decision is recorded in the same tamper-evident audit trail as prompts and files.
The gateway analyzes prompts and uploaded files before they reach an AI provider. Policies can detect, block, redact, or route sensitive information based on organizational requirements.
Yes. Administrators can define policies that determine which users, groups, or applications can access specific AI models and services.
Yes. Organizations can route requests to approved private models, self-hosted models, or approved AI providers based on security and compliance requirements.
The platform maintains detailed audit logs of prompts, policy decisions, model usage, and user activity to support governance and compliance programs.
Yes. The platform provides centralized visibility, policy enforcement, auditability, and reporting capabilities to support enterprise AI governance initiatives.
The ThreatLens AI Security Platform is available as SaaS, private cloud, and on-premises deployments.
An AI governance platform gives organizations centralized control, visibility, and policy enforcement over how AI is used, spanning AI usage governance, data protection, access control, and audit so teams can adopt AI safely and stay compliant.
Shadow AI is the use of AI tools and models without IT or security approval, for example, employees pasting sensitive data into public chatbots. ThreatLens detects shadow AI usage and brings it under governance before it creates compliance or security risk.
With AI data loss prevention (AI DLP): ThreatLens inspects prompts and files for PII, payment data, source code, and secrets, then blocks, redacts, or routes them before information leaves the organization.
ThreatLens helps enterprises assess Microsoft 365 data exposure and governance readiness before expanding Microsoft Copilot, and maintains visibility and audit evidence across approved AI providers from a single control plane.
An enterprise AI control plane is the single layer between enterprise users and every AI model that inspects, governs, and routes requests, enforcing policy, applying AI guardrails, and giving you one place to see and prove how AI is used.
See how ThreatLens governs every AI request across your organization, from the employee workspace to the audit log — or take the free 5–7 minute assessment for a governance score and executive report.