The Three Pillars of AI Risk Management

1. AI Risk Assessments

Before you deploy an AI tool, you must understand its "Blast Radius." We conduct deep-dive assessments to identify vulnerabilities in how AI interacts with your data.

  • Data Provenance: Where is the AI getting its data, and where is that data being stored?

  • Model Security: Assessing the risk of "Prompt Injection" and data poisoning.

  • Privacy Impact: Ensuring AI usage doesn't violate HIPAA, GLBA, or NIST 2.0 standards.

2. Strategic AI Governance

Governance is the difference between an "AI Experiment" and an "AI Strategy." We help you build the framework for responsible usage.

  • Acceptable Use Policies (AUP): Clear, enforceable guidelines for what employees can and cannot input into generative AI tools.

  • Vendor AI Vetting: Using our TPRM (Black Kite) expertise to audit the AI safety protocols of your third-party software providers.

  • Transparency & Ethics: Building a "Human-in-the-Loop" workflow to ensure AI outputs are validated and unbiased.

3. Shadow AI Discovery

Your employees are likely already using AI. If they are pasting sensitive code or financial spreadsheets into public models, your data is already leaving the building.

  • Network Auditing: We identify unauthorized AI tools running on your endpoints.

  • Access Control: Implementing "Guardrail" technology to prevent sensitive data from being uploaded to non-approved AI platforms.

Why AI Governance Matters for Regulated SMBs

  • For Financial Services: Ensure that AI-driven credit scoring or chatbots don't inadvertently create biased outcomes or leak member PII.

  • For Healthcare: Protect patient confidentiality by ensuring AI diagnostic tools are HIPAA-compliant and data is siloed.

  • For Auto Dealerships: Prevent the FTC from flagging your "AI-driven marketing" as a violation of the Safeguards Rule regarding data handling.

Secure Your Intelligence

Don't let the fear of risk stop your innovation. Timber Island Technologies provides the roadmap to move your organization from "AI-Curious" to "AI-Secure."