Exclusive Classroom AI Awareness Session
(Hyderabad)
Join Ampcus Cyber for an immersive six-hour AI Awareness Session. Gain insights into advanced strategies for securing organizations against evolving threats and building secure AI environment for AI adoption.
In Partnership with
July 26th, 2025
09:00 AM - 05:00 PM (IST)
Deccan Serai, HI Tech City, Hyderabad
Fee & Registration
INR 1,100
For ISC2 & ISACA Members
INR 1,499
For Non ISC2 & ISACA Members
Unlock Benefits
6 CPE
Credits
Certification of Participation
Study
Materials
Real-world Case Studies
Network with Industry Peers
Who Should Attend?
Why Attend AI Awareness Session?
Why CAISS Workshop Is Important?
Stay Relevant: In a rapidly changing digital landscape, staying updated on the latest security trends is crucial.
Practical Learning: Hands-on workshops and real-world case studies ensure practical application of AI in cybersecurity.
Networking Opportunities: Connect with industry experts and peers to exchange insights and best practices.
Career Advancement: Earn a prestigious certification that demonstrates your expertise in the intersection of AI and cybersecurity.
Speaker
Sakshi Pandey
Lead Training & Research
What Will You Learn?
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What is AI, ML, and Generative AI?
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Why AI Matters in Cybersecurity Today
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AI Threat Landscape: Dual-Use Dilemma
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Real-World Incidents Involving AI (e.g., deepfakes, phishing automation)
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AI in SOC for alert triage, log analysis, anomaly detection
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LLMs in SIEM/SOAR integrations
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Use cases: Darktrace, Microsoft Copilot for Security, Vectra AI
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Limitations and biases of AI-driven detection
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Generative AI for phishing, payload generation, deepfakes
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AI in automated vulnerability discovery
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Adversarial ML (evasion, poisoning, model inversion)
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Red teaming AI models (prompt injection, jailbreaks)
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Automating control testing and compliance mapping
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AI for internal audits and evidence collection
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Privacy concerns: AI and PII, DPIA automation
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Key frameworks: ISO/IEC 42001, NIST AI RMF, EU AI Act
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Privacy-preserving ML: federated learning, differential privacy
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AI for DLP, DSAR automation, data discovery & classification
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GenAI risks in processing sensitive data
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Governance best practices for data security in AI systems
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Role of AI Agents (AutoGPT, ReAct, CrewAI) in security ops
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Prompt engineering for secure interactions
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Use of LLMs in creating internal security copilots
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RAG (Retrieval-Augmented Generation) for policy & threat queries
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Use cases: Policy writing, risk report summaries, phishing detection
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Demo: Build a small GenAI assistant for compliance Q&A
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Ethical and legal risks with LLMs
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Controls and restrictions (guardrails, sandboxing)
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Organizational AI security posture
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Human-AI teaming and security culture
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AI Red Teaming and Continuous Testing
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Key Skills for AI + Cybersecurity Professionals
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Q&A + Group Discussion + Awareness Checklist Distribution