Upcoming Training

HCASP Certification Training
(Hacktonomy Certified AI Security Professional)

2nd to 4th October 2026

10:00 AM - 4:00 PM IST

Training Description

The HCASP Certification Preparation training is an intensive, hands-on program designed to prepare cybersecurity professionals for the Hacktonomy Certified AI Security Professional (HCASP) exam. Participants will build deep, practical expertise in securing AI and LLM-powered systems - covering the complete AI attack surface, from prompt injection and model manipulation to AI supply chain risks, data poisoning, and insecure agentic workflows.

Aligned with the official HCASP exam blueprint, this training combines guided labs, real-world attack and defense scenarios, exam-style practice questions, and structured revision - ensuring participants walk in exam-ready and walk out with skills they can apply immediately in enterprise AI security roles.

Training Highlights

Training Completion Certificate

1 year Recording Access

Trainer's Notes & Resources

Hands-On Practical

Earn upto 15 CPE Credits

Community Access

Note: Please note that recording attendance will not be eligible for CPE credits & certificate.

Training Coverage

HCASP Certification Training

AI & GenAI Fundamentals

Interaction and Automation

Understanding LLM Behaviour

The AI Threat Landscape

Advanced Generative AI Red Teaming

Deep Learning Vulnerabilities

Defensive AI Engineering & Guardrails

Securing the AI Supply Chain

Agentic Orchestration

Enterprise Risk Frameworks

Responsible AI

Compliance & Regulations

Integrating AI into Security Operations

Auditing and Incident Management

For detailed curriculum download the brochure

Who Should Attend

Cybersecurity Professionals & Security Analysts

AI/ML Engineers & MLOps Professionals

Application Security & DevSecOps Engineers

Penetration Testers & AI Red Teamers

SOC Analysts & Threat Hunters

GRC, Risk & Compliance Professionals working with AI systems

Why Choose HCASP Certification Training?

Exam-Focused Preparation

Curriculum mapped directly to the HCASP exam blueprint, with mock exams and practice questions.

Real Attack Scenarios

Learn by attacking and defending live AI/LLM applications, not just theory.

End-to-End AI Security Coverage

From prompt injection and adversarial ML to supply chain security, governance, and compliance.

100% Open-Source Toolset

Hands-on experience with industry-relevant tools without expensive proprietary platforms.

3-Day Intensive Learning

Get exam-ready without a lengthy course commitment.

Career-Relevant Skills

Directly applicable to AI Security, AppSec, DevSecOps, Red Teaming, and GRC roles as enterprises rapidly adopt AI.

Trainer Details

Pranav Paranjpe

Founder and Chief Strategist AshtakBodhak LLP

Pranav Paranjpe is a cybersecurity executive with over 22 years of experience leading information security programs across banking and financial services. Having held leadership roles including CISO and Deputy CISO at major financial institutions, he specializes in cyber resilience, risk management, governance, and security operations. As Founder of AshtakBodhak LLP, he actively mentors aspiring professionals and promotes cybersecurity awareness across industry and academia.

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Gaurav Batra

Founder, CyberFrat | Cybersecurity Advisor | AI Security & Risk Strategist

Gaurav is a cybersecurity leader and AI strategist specializing in the intersection of artificial intelligence, security, and enterprise risk. As the Founder of CyberFrat, he focuses on developing professionals who can leverage, secure, govern, and audit AI in real-world settings. With extensive experience advising enterprises on cloud security, SOC strategy, and risk management, he brings a practical, boardroom-aligned perspective to every session.

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Sagar Singh

Cybersecurity Strategy Leader | Deputy Manager - Cybersecurity PMO, CyberFrat

Sagar Singh is a CEHv13 AI-certified cybersecurity professional and Deputy Manager – Cybersecurity PMO at CyberFrat with strong hands-on expertise in LLM and Generative AI security, AI threat modeling, red teaming, and modern AI application security. His training approach focuses on real-world attack scenarios, practical labs, and industry-relevant security techniques rather than purely theoretical concepts. He works extensively with LLM application penetration testing, prompt injection, AI agent security, MCP security, model and data risks, and secure AI architecture, helping security practitioners understand and address emerging threats across modern GenAI ecosystems.

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Frequently Asked Questions

Will I receive a certificate upon completion? +

Yes, all participants who successfully complete the training will receive a Certificate of Completion from CyberFrat.

Will I get access to recordings? +

Yes, all registered participants will get access to session recordings for one year.

Can this Training help me earn CPE credits? +

Yes, CPE credits will be applicable only for participants attending the live instructor-led training, subject to the requirements of their respective certification body.

Are there any prerequisites? +

No formal prerequisites are required; basic knowledge of cybersecurity, operating systems, and networking is recommended for a better learning experience.

Is this a hands-on Training or lecture-based? +

It is a hands-on, instructor-led training with practical labs, attack/defense exercises, exam-style questions, and a full mock assessment.

Who should attend? +

Cybersecurity professionals, AI/ML engineers, AppSec and DevSecOps engineers, pentesters, SOC analysts, GRC professionals, and anyone preparing for the HCASP certification.