Client Profile
A global SaaS provider with 1,000+ employees and a fast-growing presence in financial services integrated AI/ML capabilities into its product suite to enhance user experience and automate workflows. However, this technological shift introduced new attack surfaces and compliance concerns. A flagged anomaly in model behavior during production triggered an internal review, leading to the urgent need for a specialized AI Security Consulting engagement.
Challenges Faced
Key security concerns included:
- Exposure to adversarial machine learning attacks
- Lack of visibility into AI model integrity and data lineage
- Regulatory compliance challenges with data usage in AI models
- Absence of AI-specific threat detection and mitigation protocols
Solution
COE Security implemented a tailored AI Security Consulting Program, combining:
- Model Risk Assessment: Identified vulnerabilities in training datasets, model outputs, and deployment pipelines
- AI Threat Modeling: Mapped out potential attack vectors such as poisoning, evasion, and model theft
- Security & Compliance Framework: Developed and enforced AI governance policies aligned with global standards (e.g., NIST AI RMF, GDPR)
- Monitoring & Response Architecture: Integrated AI-specific threat detection with real-time alerting and forensic investigation capabilities
AI Risk Identification & Mitigation
- Assessed training data integrity and implemented data validation checkpoints
- Hardened deployed models against ML attacks using adversarial training and anomaly detection
- Evaluated third-party AI components for hidden risks and backdoors
- Conducted red teaming exercises to simulate real-world AI attack scenarios
Governance, Strategy & Readiness
- Created an AI Risk Register and mapped mitigation strategies to each identified risk
- Developed an internal AI Security Policy and aligned it with organizational DevSecOps practices
- Established model auditability and explainability standards for regulatory compliance
- Initiated executive-level workshops to align business strategy with secure AI adoption
COE AI Security Portfolio
- AI Model Risk Assessment
- Data Privacy & Governance for AI
- Adversarial Machine Learning Mitigation
- AI Threat Modeling
- Secure ML Ops Consulting
- AI Compliance Readiness (GDPR, HIPAA, NIST)
- AI-Specific Incident Response
- Explainability & Auditability Consulting
- Red Teaming for AI Systems
- AI Cybersecurity Awareness Training
Implementation Details
- Deployed AI security tooling across development and production environments
- Integrated monitoring and alerting into existing SIEM platforms
- Delivered hands-on training for DevOps and data science teams
- Documented policies and procedures for secure AI development and incident response
Results Achieved
- 70% reduction in AI-related security vulnerabilities within 3 months
- Full alignment with NIST AI Risk Management Framework and GDPR requirements
- Enhanced visibility into model behavior, lineage, and attack surfaces
- Increased organizational AI security maturity by 40%, as measured by internal assessment
Client Testimonial
“COE Security’s deep expertise in AI risk management helped us secure our AI infrastructure while accelerating innovation. Their proactive, practical approach gave our teams the tools and confidence to build and scale AI securely.”