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AI Security Governance & Assessment

Prevention is cheaper than a breach

Cloud Security
AI Security Governance & Assessment
Data Security & Privacy
GRC Services
Vulnerability Assessment
Pen Testing as a Service
Zero Trust Strategy
BIA/BCP/DR (Cyber Resilience)
Identity Access Management
App & API Security
Threat Hunting
Govern your AI before it governs your risk.

AI Security Governance & Assessment

AI is moving into core business processes faster than most governance can keep up — and it brings risks traditional security wasn’t built for: model misuse, data leakage through prompts, biased or unsafe outputs, and shadow AI no one approved. Our AI Security Governance & Assessment service helps you take control: we inventory where AI is used, assess each system against recognized frameworks.

Key Features

AI System Inventory

We discover where AI and LLMs are used across your organization — including unsanctioned "shadow AI.

AI Risk Assessment

We assess each AI system for security, privacy, safety, and misuse risks against recognized frameworks.

Governance Framework

We help you adopt AI governance aligned to NIST AI RMF and ISO/IEC 42001, with clear ownership and policy.

LLM & Prompt Security

We evaluate exposure to prompt injection, data leakage, and unsafe outputs (OWASP LLM Top 10).

Model & Data Oversight

We review training data, access, and model lifecycle controls to reduce bias and leakage risk.

Responsible AI Assurance

We give you the evidence to demonstrate responsible, compliant AI use to customers and regulators.

How AI Security Governance & Assessment Works

From discovering where AI lives to a governed, assured AI program.

Inventory

We map all AI/LLM systems in use, including shadow AI.

Assess

We evaluate each system for security, privacy, safety, and misuse risk.

Frame

We align governance to NIST AI RMF / ISO 42001 with policy and ownership.

Secure

We address LLM/prompt risks and model/data oversight gaps.

Govern

We operationalize AI governance and approval workflows.

Assure

We produce evidence of responsible AI use for stakeholders and regulators.
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