Client Profile
A global technology company leveraging artificial intelligence (AI) and machine learning (ML) to power financial analytics, healthcare diagnostics, and autonomous systems. The organization required a robust security strategy to protect AI models, data pipelines, and algorithms from adversarial attacks and regulatory risks.
Challenges Faced
With AI-driven technologies becoming a prime target for cyber threats, the organization encountered several security risks:
- Adversarial AI Attacks Vulnerabilities in AI models exposed them to evasion, poisoning, and inference attacks.
- Data Privacy & Compliance Risks Needed to align AI security with GDPR, ISO 27001, NIST AI Risk Management Framework, and other AI-specific regulations.
- AI Model Integrity & Governance Required robust controls to prevent unauthorized manipulation of AI decision-making processes.
Solution
The organization partnered with COE Security to implement an AI Security Consulting framework, ensuring end-to-end protection for AI models, data, and infrastructure.
AI Threat Detection & Model Security Assessment
- Conducted adversarial AI testing to identify vulnerabilities in ML models.
- Implemented secure AI model training and validation processes to prevent data poisoning and bias exploitation.
- Assessed AI model drift and implemented safeguards to maintain accuracy and reliability over time.
AI Data Security & Privacy Protection
- Enforced data encryption, differential privacy, and secure federated learning techniques to protect sensitive AI training data.
- Conducted privacy impact assessments to ensure AI compliance with GDPR and other data protection laws.
- Implemented access controls and logging to prevent unauthorized use of AI-powered decision-making systems.
AI Governance, Compliance & Risk Management
- Ensured adherence to NIST AI Risk Management Framework, ISO/IEC 23894, and other AI governance standards.
- Developed AI security policies to regulate model usage, explainability, and accountability.
- Automated compliance audits and AI security assessments to maintain regulatory adherence.
Security Awareness & AI Ethics Training
- Provided AI security awareness training for data scientists, engineers, and IT teams.
- Conducted red team exercises to simulate real-world AI adversarial attacks and test model resilience.
- Developed best practices for ethical AI use, bias mitigation, and responsible AI deployment.
Results
With COE Security’s AI Security Consulting, the organization achieved:
- Robust AI Model Protection Secured AI models against adversarial attacks, unauthorized access, and data manipulation.
- Data Privacy & Regulatory Compliance Maintained alignment with GDPR, ISO 27001, and emerging AI security regulations.
- Enhanced AI Governance & Transparency Implemented security policies to improve AI decision accountability and explainability.
- Stronger AI Security Awareness Educated teams on AI risks, ethical considerations, and adversarial defense strategies.
- Proactive Threat Mitigation Integrated AI security into the development lifecycle, reducing security risks before deployment.
Through COE Security’s AI Security Consulting, the organization fortified its AI security posture, ensuring compliance, trust, and resilience in AI-driven operations.
Client Testimonial
COE Security’s AI security expertise helped us strengthen the resilience of our machine learning models and implement a proactive security strategy. Their adversarial testing, privacy protections, and governance framework have been instrumental in securing our AI systems.