Knostic in AI Trust, Risk, Security Management (TRiSM)

Knostic in AI Trust, Risk, Security Management (TRiSM)

Effectively managing AI Trust, Risk, and Security (TRiSM) requires controlling how Large Language Models (LLMs) access and use enterprise knowledge.

Knostic provides a cutting-edge solution by establishing and enforcing knowledge-based access control for LLMs like Microsoft Copilot. We do this by capturing, defining, and managing your organization's unique "need-to-know" policy - the foundation for secure AI access that, until now, wasn't explicitly codified for LLMs.

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Learn more about Knostic's role in AI TRiSM and how we secure enterprise LLMs. Download this FREE Solution Brief.

How Knostic Strengthens Your AI TRiSM Framework

Define & Capture "Need-to-Know"

Knostic explicitly captures and manages per-user, per-topic "need-to-know" policies, providing the essential context for LLM access decisions and guardrails.

Enhance Information Governance

Accelerate data classification and discover overshared content by applying need-to-know policies. Knostic helps enforce your governance framework within AI interactions.

Enable AI Runtime Enforcement

Knostic supplies granular, user-specific policies to AI guardrails and firewalls, enabling real-time enforcement based on true need-to-know, restricting unauthorized access during AI runtime.

Deliver Granular Control & Faster Remediation

Create specific guardrails, detect data leakage with need-to-know controls, address knowledge over/under sharing, and speed up remediation with fewer false positives.

Check our other Sources:

Solution Brief: LLM Data Overexposure

Glossary

AI Attacks

Copilot Readiness Assessment

Latest research and news

AI Discretion: Teaching Machines the Human Concept of ...

Key Findings on AI Discretion AI lacks human discretion, often revealing sensitive insights across systems, not by violating permissions, but by inferring patterns users weren’t ...

AI data security

AI Data Security Risks and How to Minimize Them

Key Findings on AI Data Security Risks The most critical AI security risks include harmful confabulation (misleading outputs), adversarial attacks, unintentional data exposure ...

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Knostic leads the unbiased need-to-know based access controls space, enabling enterprises to safely adopt AI.