AI Security & Governance
Secure the AI systems you run, govern them responsibly, and surface the shadow AI already in use across your teams.
Understanding the risk
What's at stake
AI adoption without proper security creates new attack vectors — model poisoning, data leakage, adversarial attacks, and regulatory exposure.
How we work
Our approach
AI Asset Discovery
Inventory all AI/ML systems, data flows, models in production, and training pipelines to establish a complete picture of your AI footprint.
Shadow AI Discovery
Surface the unsanctioned AI tools already in use across your teams, map what data flows into them, and quantify the exposure before it becomes a breach.
Threat Modeling
Identify AI-specific threats using the OWASP ML Top 10 framework, mapping adversarial risks to your specific AI implementations.
Security Assessment
Evaluate model security, data pipeline integrity, access controls, and output filtering to uncover vulnerabilities unique to AI systems.
Governance Framework Design
Develop comprehensive policies for responsible AI use, including ethical guidelines, bias monitoring, and decision transparency requirements.
Monitoring & Compliance
Set up ongoing AI security monitoring, drift detection, and compliance tracking to maintain security as your AI systems evolve.
A focused branch of this service
Shadow AI Mapping (Aegis)
Aegis is our focused shadow AI engagement: we discover every AI tool your staff actually use, map the data they expose, and hand you a prioritised remediation and governance roadmap. A dedicated branch of AI Security & Governance for teams that want to start with what is already in use.
Explore Shadow AI MappingTangible results
What you'll receive
Measurable impact
Expected outcomes
Secured AI/ML Pipelines
Protect your AI and machine learning pipelines against adversarial threats, data poisoning, and model manipulation attacks.
Established AI Governance Framework
Implement a structured governance program that ensures responsible, ethical, and transparent AI use across your organization.
Compliance Readiness for AI Regulations
Stay ahead of emerging AI regulations with a proactive compliance framework that adapts to evolving regulatory requirements.
Reduced AI-Related Data Exposure
Minimize the risk of sensitive data leaking through AI model outputs, training data, or insecure AI integrations.
Investment
Pricing
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.
Get a custom quoteReady to get started?
Take the first step towards securing your organization. Choose the option that works best for you.