Secure AI. Govern AI. Stay Compliant.
As financial institutions adopt artificial intelligence and machine learning tools, the risks to data security, privacy, and compliance multiply. CyberCile’s AI Security & Governance service ensures your use of AI is not only innovative but also secure, auditable, and aligned with evolving regulatory expectations.
We help you unlock AI's potential without exposing your institution to uncontrolled risks.
What We Do
AI Risk & Threat Assessments
We evaluate AI models, workflows, and data pipelines to identify vulnerabilities like prompt injection, data leakage, model abuse, and misaligned outputs.
AI Governance Policy Design
We help create clear internal AI use policies that define responsible use, data protection controls, model transparency, and access permissions—mapped to global standards like ISO/IEC 42001, NIST AI RMF, and emerging regulations.
Secure AI Development Reviews
Review ML pipelines, prompt engineering, LLM integrations, and vendor tools for alignment with security best practices and sector-specific requirements (e.g., APRA, PCI, SOC 2).
AI Compliance Mapping
Align your AI initiatives with privacy, financial, and cybersecurity frameworks like GDPR, APRA CPS 234, and CPS 230 ensuring accountability and clear audit trails.
Adversarial Testing & Red Teaming for AI
We simulate misuse cases to test how your AI systems could be exploited, manipulated, or evaded before attackers do.
Who It's For
- Banks & Credit Unions using AI in fraud detection, loan processing, or customer service
- Fintech firms building or integrating AI into their apps or models
- Wealth & asset managers using ML models for trading, modeling, or analytics
- Financial firms under regulatory oversight needing explainability, fairness, and accountability in AI
Why CyberCile
✅ Finance-Sector Focus – AI security tailored to financial data, compliance, and regulatory impact
✅ Cross-Disciplinary Expertise – Cybersecurity, compliance, AI/ML, and GRC in one team
✅ Early Mover Advantage – Be ready for regulations like the EU AI Act and global audit requirements
✅ DFW-Based, National Reach – Local engagement with enterprise-grade delivery
The Risks of Unsecured AI
- Data leakage from unsecured prompts
- Biased or non-compliant model outputs
- Insecure API integrations
- No governance around 3rd-party AI vendors
- Legal and regulatory fines from uncontrolled use
Ready to Secure and Govern Your AI?
Don’t wait for regulators or incidents to catch up to your AI innovation. Build trust, transparency, and control starting now.
