Client Profile
A global enterprise leveraging artificial intelligence (AI) and machine learning (ML) for real-time decision-making in financial transactions, healthcare diagnostics, and autonomous systems. The organization required a security framework to detect and mitigate threats targeting AI models during runtime.
Challenges Faced
With AI models operating in live environments, the organization faced multiple security concerns:
- Adversarial AI Attacks in Real-Time AI models were vulnerable to adversarial inputs, data poisoning, and model inversion threats.
- Runtime Exploits & Model Integrity Risks Lack of continuous monitoring exposed AI decision-making to manipulation.
- Compliance & AI Security Governance Needed to align with NIST AI RMF, GDPR, ISO 27001, and emerging AI security regulations.
Solution
The organization partnered with COE Security to implement an AI Runtime Defense Analysis, ensuring robust AI model protection against real-time cyber threats.
Real-Time AI Threat Detection & Response
- Deployed AI-specific intrusion detection systems (AI-IDS) to monitor and flag adversarial activities.
- Implemented anomaly detection to identify deviations in model predictions caused by cyberattacks.
- Developed incident response strategies for AI-based security breaches, ensuring rapid mitigation.
AI Model Hardening & Adversarial Defense
- Applied adversarial training techniques to improve model resilience against evasion attacks.
- Implemented input validation mechanisms to filter out malicious data before AI processing.
- Strengthened model encryption, access controls, and API security to prevent unauthorized modifications.
Continuous Monitoring & AI Security Automation
- Integrated runtime AI security monitoring within DevSecOps pipelines for real-time visibility.
- Leveraged automated AI attack simulations to stress-test models against evolving threats.
- Provided continuous security updates to adapt AI defenses to emerging attack techniques.
Regulatory Compliance & AI Governance
- Ensured compliance with AI security regulations such as GDPR, ISO 27001, NIST AI RMF, and sector-specific policies.
- Developed AI risk management policies to govern model security, ethical AI use, and accountability.
- Provided audit-ready security documentation to support regulatory assessments and compliance checks.
Results
With COE Security’s AI Runtime Defense Analysis, the organization achieved:
- Real-Time AI Threat Mitigation Proactively detected and neutralized adversarial attacks during AI execution.
- Strengthened AI Model Security Implemented robust runtime defenses to prevent exploitation and manipulation.
- Regulatory Compliance Assurance Maintained AI security governance aligned with global cybersecurity standards.
- Operational AI Integrity Ensured accurate and trustworthy AI-driven decisions in critical environments.
- Continuous AI Threat Intelligence Leveraged automated security updates to stay ahead of emerging AI-based cyber threats.
Through COE Security’s AI Runtime Defense Analysis, the organization reinforced its AI security posture, ensuring resilient, compliant, and protected AI-driven operations.
Client Testimonial
COE Security’s AI runtime defense solutions gave us real-time visibility and control over AI security threats. Their proactive approach helped us mitigate adversarial risks and safeguard AI-driven decisions with confidence. A game-changer for AI security!