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For Security and IT Teams

Implement  security measures to protect AI use - discover all AI interactions, prevent data leakage, set context-aware controls.

Protect Interactions with AI Inside Your Trust Boundary

Make sure all kinds of AI interactions - both into and out of  trusted internal resources - have the highest levels of security protection.

Discover All AI Interactions

Discover all types of GenAI operating in your environment, including access vulnerabilities.
See the identity of who is using AI, including agents, that are interacting with protected data.
Measure the risk level of all AI tools and user or agent interactions that may bypass traditional security architectures.

Prevent Data Leakage

Monitor AI user prompts and file uploads to AI systems outside of your trust boundary.
Verify AI tool and account settings to prevent LLM training on protected data.
Monitor AI tool output and take action to stop AI  data exfiltration.

Set Context-Aware Controls

Use contextual information based on risk and business need to guide user interactions.
Allow granular controls to secure against AI threats such as unwanted model training, prompt injection, data exfiltration, and insider threats.
Respond to threats with options to report to security, warn, block, or redact sensitive information.

See Us in Action

Ready to protect from threats of AI interactions in your environment?
Request a demo to see how you can mitigate AI risk and protect your data and employees.
Request a Demo

Protect Data and Systems From Unsafe AI Interactions

Onboard safe AI to stop threats that put your business at risk.
Dynamically inventory all AI systems, agents, and users in your environment
Monitor data flows in and out of AI
Measure risk based on context
Prevent AI interactions that are a threat

What Makes Singulr Unique?

Designed to meet the AI-era needs of security and IT teams.

Designed for Dynamic AI Systems

Can discover all types of AI and then monitor changes to inventory of AI systems, underlying LLMs, users, and agents.

Contextual Risk Assessment

Determination of “Safe” AI use is based on underlying AI system attributes, configuration and account settings, as well as business context.

Granular Controls

Contextual information about applications,  identity, data and user location, LLM, and model training settings, can be used to protect AI interactions.

Flexible Integration

Seamlessly integrates with existing security and IT infrastructure, ensuring a smooth implementation process.

Enterprise Scale

Works across distributed environments including on-premises, SaaS, and cloud environments.

Learn More About
Comprehensive AI Governance and Controls

The Singulr AI Governance and Security solution is designed to deliver what security teams need to protect all AI interactions inside their trust boundary.
AI user and agent monitoring
AI system risk measurement
Context-aware controls
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What are your numbers?

Get an assessment of AI interactions with trusted internal resources. Measure risk based on context, and identify controls to mitigate threats.
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