AI Security & Governance

Secure your AI systems and govern them responsibly

Understanding the Risk

The Risk

AI adoption without proper security creates new attack vectors — model poisoning, data leakage, adversarial attacks, and regulatory exposure.

How We Work

Inventory all AI/ML systems, data flows, models in production, and training pipelines to establish a complete picture of your AI footprint.

Identify AI-specific threats using the OWASP ML Top 10 framework, mapping adversarial risks to your specific AI implementations.

Evaluate model security, data pipeline integrity, access controls, and output filtering to uncover vulnerabilities unique to AI systems.

Develop comprehensive policies for responsible AI use, including ethical guidelines, bias monitoring, and decision transparency requirements.

Set up ongoing AI security monitoring, drift detection, and compliance tracking to maintain security as your AI systems evolve.

Tangible Results

AI asset inventory and risk register

AI threat model documentation

Security assessment report for AI systems

AI governance policy framework

Responsible AI usage guidelines

AI security monitoring playbook

Measurable Impact

Protect your AI and machine learning pipelines against adversarial threats, data poisoning, and model manipulation attacks.

Implement a structured governance program that ensures responsible, ethical, and transparent AI use across your organization.

Stay ahead of emerging AI regulations with a proactive compliance framework that adapts to evolving regulatory requirements.

Minimize the risk of sensitive data leaking through AI model outputs, training data, or insecure AI integrations.

Investment

Starting from

₦7,500,000

per engagement

Final pricing depends on the number of AI/ML systems, governance scope, and whether ongoing monitoring is included. Contact us for a custom quote.

Take the first step towards securing your organization. Choose the option that works best for you.