When AI Can’t Explain Itself: The Regulatory Risk of Using LLMs for Critical Decisions
As LLMs influence regulated decisions, organizations face increasing risk when AI outputs cannot be explained, audited, or justified to regulators.
Organizations Are Using LLMs Without Oversight
Many organizations are using LLMs without control or oversight, creating hidden audit, financial, and reputational risk.
Why Most Organizations Would Fail an LLM Security Audit Today
The rapid adoption of AI is outpacing security and governance frameworks. Without proper LLM policies, most organizations would fail a security audit, exposing themselves to data and financial risks.
Shaping Compliance with Regulatory-Compliant LLMs
As organizations adopt LLMs and AI, regulatory-compliant models are essential. NGA is helping organizations manage risks, stay audit-ready, and embrace AI securely.
Mastering Offline LLMs in Compliance: NGA’s Next Step in Secure AI Innovation
NGA is expanding operations with specialized Agentic AI and LLM teams to develop secure offline models that protect compliance data and IP while driving the future of compliance innovation.