Govern AI usage, protect sensitive data, enforce enterprise policies, and accelerate AI adoption across employees, applications, copilots, and agents from a single governed AI workspace.
Adopt AI with confidence while maintaining security, privacy, compliance, and operational control.
ThreatLens AI Governance Platform
Inspect · Govern · Route
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, files, and responses 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, responses, 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, files, and responses, 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, warn, redact, block, or route to a private 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, financial, and IP 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, file, and response 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 decidesYour people use AI freely. ThreatLens inspects every request. Your data stays governed.
One gateway in front of the consumer apps, copilots, IDEs, internal apps, and agents your teams already use.
ChatGPTOpenAI
ClaudeAnthropic
GeminiGoogle
Microsoft CopilotMicrosoft 365
CursorAI IDE
GitHub CopilotCode assistantBuild 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 & auditedNudge the user when a prompt looks risky, they can revise, redact, or continue with a reason.
User in the loopStrip 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-houseLet users request a time-boxed exception. Reviewers approve or reject with an AI recommendation.
Human-gatedThreatLens 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, approve exceptions, 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.
ThreatLens is designed to align with the DLP tools, identity systems, and AI providers your organization already uses. During pilot, integrations are enabled based on your environment, deployment model, and prioritized scope.
Use existing DLP engines as authoritative, advisory, or most-restrictive-wins policy inputs.
Route employee AI requests only to the model providers and deployment options your organization approves.
OpenAI
AnthropicGoogle GeminiProvider and connector support varies by deployment model and customer environment. Additional providers or connectors can be prioritized during pilot or enterprise onboarding.
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 Governance 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.
ThreatLens AI Governance Platform helps organizations securely adopt AI by governing AI usage, protecting sensitive data, enforcing policies, 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.
ThreatLens AI Governance Platform can govern access to public and private AI models, including ChatGPT, Claude, Gemini, Azure OpenAI, AWS Bedrock, and organization-hosted models.
Yes. The platform can inspect prompts, uploaded content, and AI responses to identify sensitive information and enforce organizational policies.
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, responses, 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.
ThreatLens AI Governance Platform is available as Public Cloud, 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, files, and responses for PII, payment data, source code, and secrets, then blocks, redacts, or routes them before information leaves the organization.
ThreatLens extends governance, data loss prevention, and audit controls across Microsoft Copilot, Azure OpenAI, AWS Bedrock, and other approved providers from a single control plane, keeping Copilot usage compliant and fully visible.
An enterprise AI control plane is the single layer between your people 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.