AISOC Organizational Structure
Organizational Overview
The AI Security Operations Center (AISOC) is a specialized security function designed to address the unique security challenges presented by AI systems. Unlike traditional security operations centers that focus on network and system security, the AISOC is specifically tailored to protect AI models, data, and infrastructure throughout their lifecycle.
The AISOC operates under the leadership of the Chief AI Security Officer (CAISO), who provides strategic direction and ensures alignment with both AI governance and cybersecurity objectives. The AISOC structure is designed to provide comprehensive coverage of AI security while maintaining close integration with the existing Enterprise Security Operations Center (SOC).
This specialized structure enables organizations to effectively address AI-specific security challenges while leveraging existing security capabilities and avoiding duplication of effort. By establishing dedicated teams focused on AI security, organizations can ensure that their AI investments are protected against emerging threats and vulnerabilities.
Figure 1: AISOC Organizational Structure showing reporting relationships and team composition.
Leadership and Governance
Chief AI Security Officer (CAISO)
The CAISO serves as the executive leader for AI security, reporting to the CISO with a dotted line to the CAIO. Key responsibilities include:
- Setting strategic direction for AI security
- Developing and implementing AI security policies
- Allocating resources for AI security initiatives
- Coordinating with CISO, CAIO, and CTO on cross-functional matters
- Reporting on AI security posture to executive leadership
- Leading the AI Security Governance Board
AI Security Governance Board
The AI Security Governance Board provides oversight and guidance for AI security initiatives. Its composition includes:
- CAISO (Chair)
- CISO
- CAIO
- CTO
- Legal/Compliance Representative
- Privacy Officer
- Business Unit Representatives
The board meets monthly to review AI security posture, approve policies, accept risks, and resolve cross-functional issues.
Operational Teams
AI Security Operations Team
Responsible for day-to-day monitoring and defense of AI systems, including:
- Real-time monitoring of AI systems
- Alert triage and incident response
- Threat hunting in AI environments
- Security tool management and tuning
- Coordination with Enterprise SOC
AI Red Team
Focuses on offensive security testing of AI systems, including:
- AI-specific penetration testing
- Adversarial testing of AI models
- Data poisoning simulations
- Model extraction attack simulations
- Social engineering focused on AI systems
AI Security Engineering Team
Designs and implements security controls for AI systems, including:
- Security architecture for AI systems
- Implementation of security controls
- Security tool integration
- Automation of security processes
- Technical security standards development
AI Security Research Team
Researches emerging AI security threats and defenses, including:
- Monitoring of AI security research
- Development of new detection techniques
- Testing of emerging defense mechanisms
- Collaboration with academic and industry partners
- Publication of research findings
Key AISOC Positions
The AISOC is staffed with specialized professionals who possess expertise in both AI technologies and security principles. These positions are designed to address the unique security challenges presented by AI systems while maintaining coordination with traditional security functions.
Deputy CAISO / AISOC Director
Second-in-command to the CAISO, responsible for day-to-day operations of the AISOC and execution of the AI security strategy.
Key Responsibilities:
- Oversee all AISOC operations and team management
- Implement AI security strategies developed by the CAISO
- Coordinate cross-functional activities between AISOC teams
- Manage resource allocation and budget execution
- Serve as acting CAISO when required
Threat Detection & Mitigation Duties:
- Ensure comprehensive threat coverage across all AI systems
- Approve major incident response actions and remediation plans
- Review and approve new detection capabilities
- Coordinate high-severity incident response with Enterprise SOC
- Lead post-incident reviews for significant security events
AI Security Operations Manager
Leads the day-to-day security monitoring, detection, and response activities for AI systems.
Key Responsibilities:
- Manage the 24/7 AI security monitoring operations
- Oversee alert triage, incident classification, and response
- Develop and maintain operational procedures and playbooks
- Coordinate with Enterprise SOC on joint monitoring activities
- Manage operational metrics and continuous improvement
Threat Detection & Mitigation Duties:
- Oversee real-time monitoring of AI systems for security anomalies
- Direct triage and initial response to detected threats
- Coordinate incident response activities across teams
- Ensure proper escalation of significant security events
- Lead threat hunting initiatives for AI-specific threats
AI Model Security Specialist
Focuses specifically on the security of AI models throughout their lifecycle.
Key Responsibilities:
- Assess security of AI models during development and deployment
- Develop and implement model protection techniques
- Monitor model behavior for security anomalies
- Advise on secure model development practices
- Research model-specific vulnerabilities and defenses
Threat Detection & Mitigation Duties:
- Detect attempts to poison training data or manipulate models
- Identify model drift that could indicate security issues
- Monitor for model extraction or intellectual property theft
- Test models for vulnerability to adversarial examples
- Implement defenses against model inversion attacks
AI Security Data Scientist
Applies data science techniques to AI security problems and develops security analytics.
Key Responsibilities:
- Develop advanced analytics for AI security monitoring
- Create machine learning models for threat detection
- Analyze security data to identify patterns and trends
- Design metrics and visualizations for security monitoring
- Research and implement anomaly detection techniques
Threat Detection & Mitigation Duties:
- Build detection models for AI-specific attack patterns
- Develop anomaly detection systems for AI behavior
- Create analytics to identify data poisoning attempts
- Design algorithms to detect model tampering
- Implement behavioral analysis for AI systems
The AISOC includes many additional specialized roles, each designed to address specific aspects of AI security. These roles work together to provide comprehensive protection for AI systems throughout their lifecycle.
View All AISOC PositionsIntegration with Enterprise SOC
The AISOC is designed to work in close coordination with the existing Enterprise Security Operations Center (SOC) to provide comprehensive security coverage. This integration ensures that AI-specific security challenges are addressed while leveraging existing security capabilities and avoiding duplication of effort.
Shared Services and Responsibilities
| Service | Integration Approach |
|---|---|
| Joint Incident Response | Integrated incident response playbooks with coordinated containment, eradication, and recovery procedures for incidents involving AI systems. |
| Unified Security Monitoring | Shared security information and event management (SIEM) platform with specialized AI monitoring capabilities and cross-domain correlation of security events. |
| Threat Intelligence Sharing | Common threat intelligence platform enabling bidirectional sharing of indicators of compromise, joint analysis of emerging threats, and collaborative threat hunting. |
| Security Tool Integration | Integrated security architecture with common infrastructure, shared data repositories, and unified API framework for seamless operation across domains. |
Operational Coordination
| Coordination Mechanism | Description |
|---|---|
| Joint Operations Center | Co-located or virtually connected operations centers with regular joint briefings, shared operational dashboards, and collaborative shift handovers. |
| Escalation Procedures | Integrated escalation matrix with defined criteria, documented paths, joint decision-making processes, and collaborative issue resolution. |
| Cross-Training Program | Formal training curriculum providing AI security training for Enterprise SOC staff and traditional security training for AISOC staff, with joint exercises. |
| Communication Channels | Dedicated communication channels for real-time coordination, including shared chat platforms, video conferencing, and collaborative tools. |
AISOC Operational Workflow
The AISOC follows a structured operational workflow that encompasses monitoring, detection, investigation, response, and continuous improvement. This workflow is designed to address the unique security challenges of AI systems while maintaining coordination with traditional security operations.
Figure 2: AISOC Operational Workflow showing the key processes and information flows.
The AISOC continuously monitors AI systems for signs of compromise or malicious activity using specialized tools and techniques:
- AI System Monitoring: Continuous monitoring of AI systems for security anomalies
- AI Model Behavior Analysis: Analysis of model behavior for signs of compromise
- AI Data Pipeline Security: Monitoring of data inputs and outputs for security issues
- Infrastructure Monitoring: Surveillance of the underlying infrastructure hosting AI systems
When security incidents are detected, the AISOC follows specialized procedures for investigation and remediation:
- AI-Specific Incident Handling: Specialized procedures for AI security incidents
- Model Integrity Restoration: Procedures to restore compromised AI models
- AI System Forensics: Specialized forensic analysis for AI systems
- Coordinated Response: Joint incident management with Enterprise SOC when needed
The AISOC proactively searches for threats and gathers intelligence on emerging attack vectors:
- AI-Focused Threat Hunting: Proactive search for AI-specific threats
- AI Threat Intelligence: Collection and analysis of AI-specific threat intelligence
- Adversarial Testing: Regular testing of AI systems against known attack vectors
- Research Integration: Incorporation of findings from AI security research