AI governance and security across your enterprise

Accelerate AI-driven innovation while reducing business cost and risk.  

Full Speed

Optimal Cost

Minimal Risk

Operationalize AI at Scale - in Five Steps

Step 1

Discover

AI Services, Models, Users, and Data

Find every generative AI with context about who is using it, data, and application configurations across your organization.

Discover all three types of generative AI: homegrown AI applications, public AI services, and embedded AI features in SaaS applications.

Review activity detail and correlation across AI components, users, and data.

Alert security and AI teams about unvetted shadow AI and unsanctioned AI use within minutes.

Step 2

Assess

Risks with Context

Identify high-risk AI services and use with comprehensive intelligence on emerging generative AI and LLMs.

The Singulr AI Trust Feed™ helps stay ahead of the rapidly evolving generative AI ecosystem with automated risk scoring of AI components, user interactions, and data flows.

Includes a comprehensive mix of data risks, model risks, and platform risks such as LLM lineage, data updates, data uptake and training settings, compliance requirements, plugins used, and more.

Provides recommendations for safe AI service alternatives.

Step 3

Onboard

Safe AI Services

Quickly review and approve AI services and models, application vendors, and specific data sets.

Cross-functional teams use a common interface for stakeholder alignment and approval workflow.

Simplified AI classification and assessment with key attribute analysis including risks and cost.

Categorize use as approved, unapproved, restricted, or unvetted.

Step 4

Enforce

Policy and Response

Put granular controls in place with an AI-powered policy builder.

Guide safe AI use with policy and rules using a wide range of variables.

Enforcement response includes options to allow, restrict, educate with pop-up, redact prompt, or create a ticket.

Manage user access and activity, map to regulatory requirements, and prevent prompt injection and data leakage.

Step 5

Report

Ongoing Use, Risk, and Compliance

Establish a common view across executives, AI teams, and operational managers.

Become the “Source of truth” for safe AI usage and adoption metrics used by cross-functional teams.

Report on new unvetted or unsanctioned AI services that are in use across the organization that may be a potential risk.

Report on policy and enforcement activity to meet ongoing audit and compliance requirements.

Powerful Simplicity

Get started without agents, plugins, or proxies  by connecting to existing enterprise data sources.

What makes Singulr unique?

Singulr has achieved SOC 2 and ISO 27001 compliance, ensuring enterprise-grade security and trust.

All Gen AI Types

Designed for all three types of generative AI: homegrown LLM applications, public AI services, and embedded AI features in SaaS applications.

Streamlined Risk Assessment

The Trust Feed^TM offers a built-in and extensive source of risk information for all AI services, models, and tools.

Granular Policy Engine

AI-driven policy engine allows broad or granular control of  AI services and use.

Fast Time-to-Value

"Light touch" deployment options leverage existing technology infrastructure, accelerating time to value.

Enterprise-Grade

Built by a team experienced in creating complex and scalable enterprise security products.

What are your numbers?

Get a sample report that shows what Singulr can discover.

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