AI Data Leakage Management for Finance

Government Agencies Face Unique AI Adoption Challenges

As Federal agencies embrace AI to modernize service delivery, streamline operations, and improve responsiveness, the risks of AI data leakage, inference, and oversharing are growing.

Classified and sensitive data exposure through malicious AI prompts

LLM tools like Copilot used without Authority to Operate (ATO)

Lack of centralized controls over AI experimentation by staff and contractors

Compliance challenges related to NIST, FedRAMP, and internal data policies

AI innovation hindered by inflexible policy frameworks

Demand for scalable, secure, agency-wide access to LLM capabilities

Learn more about Data Leakage in the Government Sector

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Context-Aware AI Access Controls Designed for Government Agencies

Knostic supports alignment with government initiatives like CMMC, FedRAMP, NIST AI RMF, and OMB’s AI Action Plan, enabling safe, compliant adoption of enterprise LLMs.

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Benefits of Using Knostic

Knowledge-Centric Controls

Simplify security protocols with automation designed specifically to counter AI oversharing and Copilot-related threats.

Prompt Simulation Before ATO

Simplify security protocols with automation designed specifically to counter AI oversharing and Copilot-related threats.

Built for Public Sector Compliance

Designed to support OMB’s AI Action Plan, NIST AI RMF, and DOD-specific controls, including classification workflows and High Impact Service requirements.

Knostic is built to support NIST AI RMF, FedRAMP controls, and is compatible with OMB’s AI Use Case Inventory.

Absolutely. Knostic automates comprehensive compliance monitoring, audit trails, and regulatory reporting tailored for finance.

Knostic provides real-time monitoring, quickly identifying and addressing AI oversharing and data leakage threats.

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

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AI Knowledge Governance for the Public Sector

Government Agencies Face Unique AI Adoption Challenges

Classified and sensitive data exposure through malicious AI prompts

LLM tools like Copilot used without Authority to Operate (ATO)

Lack of centralized controls over AI experimentation by staff and contractors

Compliance challenges related to NIST, FedRAMP, and internal data policies

AI innovation hindered by inflexible policy frameworks

Demand for scalable, secure, agency-wide access to LLM capabilities

Learn more about Data Leakage in the Government Sector

Access Knostic Risk Assessment Prompts

Context-Aware AI Access Controls Designed for Government Agencies