Enterprise AI Governance & Security
Secure and govern AI
across your enterprise.
Your organization is adopting AI. Security and compliance teams need centralized visibility into how it is used, what data is shared, and where risk is emerging. Hares gives them that control.
Illustrative interface. Not real user data.
AI adoption is outpacing governance.
No visibility
Security teams cannot see who is using AI, which tools are in use, or what data and files employees are sharing with external models.
Policies without enforcement
Acceptable use policies exist on paper. But without technical controls, there is no way to enforce them across the organization.
Data exposure
Customer PII, credentials, and proprietary code can be pasted or uploaded into unapproved AI tools without any detection or prevention.
How Hares works
One control layer between your workforce and the AI tools they use, from visibility into activity to enforcement of policy.
Visibility
Monitor which AI tools your employees use, how frequently, and what prompts, text, and files they share with external providers.
Policy Enforcement
Define security policies for AI usage and apply allow, warn, block, or redact actions automatically based on department, team, or specific tool.
Data Protection
Detect sensitive data like PII, credentials, and source code in prompts and uploaded files, then redact or block it before it reaches external models.
Auditability
Maintain a complete, searchable record of AI activity for compliance audits and incident response.
Detect sensitive data before it leaves your network.
Hares inspects prompts, text, and uploaded files for risk including PII, API keys, source code, and other confidential data before it reaches an external AI provider. Detected risk is flagged and can be blocked or redacted in real time.
Potential Data Exposure
User S. Chen attempted to send 4 SSNs to ChatGPT.
Enforce AI policies by team and by tool.
Set precise governance rules for each department, team, or tool. Allow, warn, block, or redact. Marketing can use approved image generators while Engineering is warned or blocked from sending source code to public LLMs.
Built for regulated industries.
Banks, healthcare systems, and defense contractors cannot compromise on data security. Hares is designed to give visibility into AI usage without becoming an additional attack surface.
Zero data retention
Hares inspects prompts in memory and drops payloads immediately after policy evaluation. We do not store your data.
Your infrastructure
Deploy as managed SaaS or within your own VPC for complete isolation and regulatory compliance.
Role-based access
Only authorized security personnel can view audit logs or modify governance policies. Granular RBAC throughout.
SSO integration
Integrates with Okta, Azure AD, and Ping Identity. No separate credentials to manage.
Architecture
Hares operates as a governance plane between your workforce and external AI providers. All AI traffic passes through the platform for policy evaluation, inspection of prompts and files, risk detection, and audit logging.
Frequently asked questions.
What is Hares?
Hares is an enterprise AI governance and security platform. It gives security, compliance, and risk teams centralized visibility into how AI is used across an organization, along with the controls to enforce policy and protect sensitive data.
What is Shadow AI?
Shadow AI is the use of AI tools and models by employees without their organization's knowledge, approval, or oversight. Because this usage happens outside sanctioned channels, security and compliance teams have no visibility into what data is being shared or which tools are involved.
How does Hares monitor AI usage?
Hares gives security and compliance teams a centralized view of which AI services are in use across the organization, by whom, and how frequently. Monitored AI requests are evaluated against policy in real time, so AI adoption can be governed rather than left unmonitored.
Does Hares inspect prompts and uploaded files?
Yes. Hares inspects AI requests, including prompts, other text content, and uploaded files or attachments, for sensitive data and policy violations before that content reaches an external AI provider.
How does Hares detect AI security risks?
Hares evaluates AI requests for risk factors such as sensitive data exposure and policy violations, and surfaces detected risk to security teams so it can be reviewed and acted on through policy.
How does Hares protect sensitive information?
Hares identifies when employees share PII, credentials, API keys, or other sensitive content with external AI tools, whether pasted as text or included in an uploaded file. That content can be flagged, blocked, or redacted before it reaches the provider. Requests are inspected in memory and dropped immediately afterward; Hares does not store or train on your data.
What happens when an AI request violates a security policy?
Hares can respond with one of four enforcement actions: allow the request, warn the user, block it outright, or redact the sensitive content before it is sent. Organizations define which action applies by department, team, or specific AI tool.
Who is Hares designed for?
Hares is built for enterprises, banks and financial institutions, government organizations, and other regulated industries, specifically the security, compliance, IT, and risk teams responsible for governing how AI is adopted and used.
See Hares in action.
Request a walkthrough with our team. We will show you how Hares can give your security team visibility and control over AI use.
