Tedka Tools Logo
Tedka Tools
2026 NIST Framework

AI Compliance Auditor

Diagnostic tool for Small Businesses navigating the 2026 AI Advancement Act requirements.

Standard compliance requirements.

Diagnostic Assessment

Compliance Score

0%Audited
Critical Risk

Based on current industry-weighted criteria.

Audit Actions

Actionable Risks (10)

Privacy Deficiency

Do you encrypt all personal data used in AI training and inference at rest and in transit?

Recommended Fix:

Implement AES-256 encryption for all data lakes and vector databases.

Bias Deficiency

Have you performed a demographic parity audit on model outputs within the last 90 days?

Recommended Fix:

Use tools like Fairlearn or AI Fairness 360 to detect and mitigate bias.

Security Deficiency

Are all AI API endpoints protected by MFA and rate-limiting to prevent prompt injection?

Recommended Fix:

Deploy an API Gateway with WAF rules specifically for LLM protection.

Transparency Deficiency

Is there a clear "AI-Generated" disclosure for all automated communications and content?

Recommended Fix:

Update UI components to include visible "AI Assistant" watermarks.

Accountability Deficiency

Is there a designated "Human-in-the-Loop" for all high-stakes AI decisions (hiring, credit, etc.)?

Recommended Fix:

Establish an Oversight Committee to review automated high-stakes outcomes.

Security Deficiency

Does the system have active guardrails to block the generation of PII or harmful instructions?

Recommended Fix:

Integrate a secondary "LLM Guardrail" model to filter inputs and outputs.

Privacy Deficiency

Do you have a "Right to Erasure" protocol specifically for user data processed by the AI?

Recommended Fix:

Develop a script to purge specific user embeddings from vector storage.

Transparency Deficiency

Can the system provide a "Basis of Decision" report for its specific outputs if requested by a user?

Recommended Fix:

Enable "Chain of Thought" logging to preserve model reasoning paths.

Accountability Deficiency

Do you maintain an immutable audit log of all model version changes and training data sources?

Recommended Fix:

Use Git LFS or DVC to version control models and datasets together.

Security Deficiency

Is your AI infrastructure hosted in a SOC2 Type II or equivalent 2026-certified environment?

Recommended Fix:

Migrate AI workloads to government-grade or high-compliance cloud regions.