Client Profile
A global SaaS provider with over 1,000 employees and a rapidly expanding customer base in financial services. The client had begun integrating AI and ML technologies across their platform to enhance automation and decision-making capabilities. However, the lack of secure AI development practices and growing concerns over model integrity, data privacy, and compliance triggered the need for a comprehensive AI security review.
Challenges Faced
Key security concerns included:
- Exposure to adversarial attacks on deployed ML models
- Use of unvetted third-party AI components
- Lack of visibility into AI risk across development and production environments
- Limited readiness among DevOps and data science teams regarding AI threat mitigation
Solution
COE Security implemented a tailored AI Security Posture Enhancement Program, combining:
- AI Threat Modeling: Identified vulnerabilities across AI/ML pipelines and model lifecycles
- Data & Model Risk Assessment: Audited datasets and trained models for integrity and bias
- Toolchain Hardening: Secured MLOps environments and CI/CD pipelines
- Capability Building: Conducted workshops to upskill development and security teams
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 & Readiness Framework
- Developed AI-specific security policies and operational procedures
- Established secure model lifecycle management practices
- Integrated AI risk metrics into the enterprise governance dashboard
- Defined escalation and response protocols for AI-related incidents
COE Security’s AI Assurance Service Portfolio
- AI Security Readiness Assessment
- Secure MLOps Integration
- Model Threat Simulation (Red Teaming)
- Bias & Fairness Auditing
- Third-Party AI Component Vetting
- Secure Model Deployment Playbooks
- AI-Specific Incident Response Planning
- Training for AI Developers & Security Teams
- AI Risk Monitoring & Dashboarding
- Regulatory Compliance Alignment (e.g., NIST AI RMF, EU AI Act)
Implementation Details
- Deployed AI security tools across dev, test, and production environments
- Integrated monitoring and alerting into existing SIEM platforms
- Delivered hands-on training for DevOps and data science teams
- Documented secure AI development policies and incident handling procedures
Results Achieved
- 30% reduction in exposure to AI-related security risks
- Integrated risk monitoring across 100% of AI model deployments
- Achieved compliance alignment with emerging AI governance standards
- Increased AI security maturity score by 40% within six months
Client Testimonial
“COE Security gave us the clarity and control we needed to scale our AI capabilities securely. Their expert guidance turned what felt like a black box into a manageable and trustworthy system.”