InfosecTrain Hosts Free Masterclass on Security for AI: Governing Modern AI Systems

What
InfosecTrain, a leading cybersecurity training provider, is hosting a free masterclass on Security for AI: Governing Modern AI Systems. This masterclass will focus on how organizations will secure and govern AI systems across business, security, privacy, and compliance functions. The session will cover AI applications, models, data, APIs, agents, access controls, and monitoring, along with risks such as data leakage, prompt injection, bias, shadow AI, and third-party exposure. It will also examine GRC controls, AI governance structures, risk classification, vendor oversight, human review, and the responsible use of AI within cybersecurity and GRC operations.

When
14 Sep (Mon)
08:00 – 09:00 PM (IST)

Why Attend
As organizations adopt AI at a faster pace, security and GRC professionals are increasingly expected to evaluate AI-related decisions with both technical awareness and business judgment. This masterclass will help participants build a clearer perspective on the responsibilities that come with securing and overseeing AI-enabled environments. It will be especially relevant for cybersecurity, risk, compliance, privacy, audit, and governance professionals who need to understand how their roles are evolving alongside AI adoption. Participants will gain greater clarity on the questions they should ask before approving or reviewing AI use cases, how to recognize areas of accountability, and where human oversight remains essential. The session will also help professionals identify gaps in their current knowledge, strengthen cross-functional thinking, and better understand the competencies organizations will increasingly expect as AI becomes part of everyday business and security operations.
Participants will earn a CPE certificate, get direct insights and guidance from industry experts, and gain the latest knowledge and practical strategies to help them navigate and advance in the cybersecurity field.

Agenda
• Why AI Security Matters
- AI adoption in modern organizations
- AI as a business, security, privacy, and compliance risk
- Difference between Security for AI and AI for Security
- Role of GRC in responsible AI adoption

• Security for AI
- What needs to be secured in AI systems
- AI applications
- Prompts and inputs
- AI models
- Training and reference data
- APIs and integrations
- AI agents and automation
- User access and permissions
- Logs and monitoring

• Key Risks in AI Systems
- Data leakage
- Prompt injection
- Hallucination
- Bias and unfair outcomes
- Shadow AI
- Third-party AI risk
- Unauthorized access
- Lack of audit trail
- Over-reliance on AI outputs

• GRC Controls for Securing AI
- AI usage policy
- Approved AI tools list
- AI system inventory
- AI risk assessment
- Data classification
- Privacy impact assessment
- Vendor risk assessment
- Access control
- Human review
- Logging and monitoring
- Incident response process
- Evidence retention

• AI Governance Model
- AI governance committee
- Business owner accountability
- Security team involvement
- Privacy and legal review
- Compliance and audit oversight
- Risk classification of AI use cases
- Approval process for high-risk AI
- Periodic review and reassessment

• AI for Security
- AI in cybersecurity operations
- AI in GRC operations
- AI as a decision-support tool
- Human-in-the-loop approach
- Using AI to improve speed, visibility, consistency, and reporting

• AI Use Cases in Security and GRC
- Threat detection
- Phishing analysis
- Vulnerability prioritization
- Incident response support
- Log and alert summarization
- Security awareness content
- Policy drafting
- Control mapping
- Audit evidence review
- Vendor questionnaire review
- Compliance reporting

• Risks of Using AI for Security
- False positives
- False negatives
- Hallucinated recommendations
- Sensitive data exposure
- Poor explainability
- Vendor dependency
- Weak human oversight
- Lack of accountability
- Compliance blind spots

• Key Takeaways
- AI must be governed before it is trusted
- Security for AI protects AI systems from misuse and compromise
- AI for Security uses AI to strengthen cybersecurity and GRC
- AI risks must be classified based on business impact
- Human validation is mandatory for important decisions
- AI vendors must be assessed like critical third parties
- AI controls must be monitored and auditable
- AI should support accountability, not replace it

Registration Link
https://www.infosectrain.com/events/security-for-ai-governing-modern-ai-systems

Course Link
https://www.infosectrain.com/courses/practical-ai-security-engineering-program

About InfosecTrain
InfosecTrain is a recognized leader in cybersecurity training, focused on enhancing awareness and expertise in data protection, cybersecurity, and compliance. Through expert-led sessions and informative events, InfosecTrain equips professionals and organizations to protect sensitive information and effectively navigate the constantly evolving cybersecurity landscape. With extensive industry knowledge, they are positioned as frontrunners in cybersecurity training and consulting. Additionally, they offer continuous post-training support for future reference, fostering ongoing learning.
To know more about training programs offered by InfosecTrain:
Please write back to [email protected] or call at IND: 1800-843-7890 (Toll-Free) / US: +1 657-221-1127 / UAE: +971 569-908-131