# AI Safety & Governance Review

> Service 05. Risk-mitigation architecture for high-stakes AI systems.

## Service Overview

- **Who it's for:** Enterprises deploying AI in regulated or high-stakes contexts (healthcare, finance, legal) that need an external review of data isolation, hallucination mitigation, and compliance posture.
- **Typical deliverables:**
  - Gap analysis against SOC2 / HIPAA / GDPR controls.
  - Hardened agent guardrails and HITL protocol design.
  - Audit-log and data-lineage architecture.
  - Remediation roadmap with prioritized fixes.
- **Engagement model:** Fixed-scope review · Retainer optional.
- **Start here:** [Request a safety review](/consultation/?service=ai-safety).

See the full service catalog at [/services.md](/services.md).

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## Security Stack
IAM RBAC · VPC Service Controls · Encryption at Rest & in Transit · 24/7 Audit Logging.

## Core Safety Pillars — Risk Mitigation Architecture

### 01. Data Isolation & Privacy
We leverage Vertex AI to guarantee that enterprise data is never used to train public foundational models. All AI workloads are executed within deeply isolated, private VPC deployments to ensure total data sovereignty.

### 02. Hallucination Mitigation
Our technical approach relies heavily on precise grounding and rigorous RAG (Retrieval-Augmented Generation) architectures to restrict model context and enforce deterministic, factual outputs.

### 03. Agentic Guardrails
We implement strict Human-in-the-Loop (HITL) protocols and automated system monitoring. Agents operate under rigid behavioral constraints, preventing unintended actions and rogue extrapolations.

### 04. Compliance Readiness
Security is not bolted on; it is our architectural foundation. We engineer our platforms ready for [SOC2](https://www.aicpa-cima.com/topic/audit-assurance/audit-and-assurance-greater-than-soc-2), [HIPAA](https://www.hhs.gov/hipaa/index.html), and GDPR compliance audits right from the very first line of code.

## Reference posture — Brauni deployment
- **Data isolation:** private VPC on Google Cloud; contractual non-training clause on Vertex AI.
- **Encryption:** AES-256 at rest, TLS 1.3 in transit, end-to-end from ingest to delivery.
- **Access control:** IAM RBAC with OAuth SSO enforced across the platform.
- **PII handling:** clinical records redacted before any cross-session analysis.
- **Availability:** AWS multi-region with 99.9% SLA and continuous backups.

## Related Capabilities
- [Cloud Infrastructure Engineering](/infrastructure/) — the underlying VPC and IaC.
- [Custom Application Development](/applications/) — the apps whose AI surface we review.
- [Methodology](/methodology/) — five-phase delivery process.

Schedule an audit with our lead engineers to assess the security readiness of your upcoming or existing AI deployments: [Request a Security Architecture Review](/consultation/?service=ai-safety).