
World’s First ANAB-accredited certification program on Cyber Security in AI – Certified Security Professional in Artificial Intelligence (CSPAI). The program is specifically curated to position AI and GenAI in application integration while calibrating security requirements for AI applications. It emphasizes the thematic application of GenAI LLMs to future AI applications, as observed by the Gartner Hype Curve, and highlights the lucrative benefits of deploying LLMs in applications.
The program effectively covers the use of AI in Business As Usual (BAU) scenarios and underscores the critical need to secure applications against the threats and vulnerabilities posed by AI models.
In essence, the program is designed for security professionals to understand the dos and don’ts of AI integration in business applications, with a particular focus on sustainable practices for securing AI-based applications. This includes comprehensive risk identification and assessment frameworks as recommended by ISO and NIST. The program also emphasizes continuous assessment and adherence to AI regulations across various nations, in line with standards, to ensure AI applications are trustworthy and ethical.
Master AI Security and Risk Management
In today’s fast-evolving tech landscape, AI security is not optional—it’s a necessity. The CSPAI program delivers a comprehensive understanding of AI security challenges, from securing data privacy to defending against adversarial attacks in models like GenAI and LLMs.
Master frameworks to assess and reduce vulnerabilities in AI systems.
Ensure the safety of AI applications in your day-to-day business environment.
Learn the do’s and don’ts of ethical AI deployment using ISO/NIST standards
Learn to identify, manage, and mitigate risks in AI models, ensuring data privacy and model integrity.
This unique certification program is designed for working professionals in AI. It is specially curated to position AI and GenAI in application integration, and to address the calibration of security requirements in AI applications. The program focuses on the thematic application of GenAI and LLMs to future AI technologies, as observed by the Gartner Hype Cycle, and explores the lucrative benefits of deploying LLMs in various applications. It effectively covers the use of AI in Business As Usual (BAU) scenarios and emphasizes the critical need to secure applications from the threats and vulnerabilities posed by AI models.
Overall, the program is designed for security professionals to understand the dos and don’ts of AI integration in business applications, with an inclusive focus on sustainable practices for securing AI-based applications through comprehensive risk identification and assessment frameworks recommended by ISO and NIST. Continuous assessment and adherence to AI laws across various nations are emphasized, in line with standard recommendations, to ensure AI applications are trustworthy and ethical.
Workshop Name | Type | Date | Time | Region | Enroll |
CSPAI | 2.5 Day Online Workshop | June 18-20, 2025 | 10:30 AM - 05:30 PM IST | N.A. | |
CSPAI | 2.5 Day Public Workshop | July 9-11, 2025 | 10:00 AM - 06:00 PM PHT | SEA | |
CSPAI | 2.5 Day Online Workshop | July 23-25, 2025 | 10:30 AM - 05:30 PM IST | N.A. |
Vice President – Forensics & R&D
CISSP | CISA | GCFA | PCI QSA | PA-QSA | P2PE QSA | Core PFI | 3DS Assessor | CSPAI Co-Author
Experienced cybersecurity leader with 18 years of expertise in R&D, forensics, hardware security, and AI-driven cybersecurity solutions.
Security Leadership Experience
Vice President, Forensics & R&D at SISA | Vice President, Cyber Resilience at SISA | Product Owner for ProACT MDR | PCI QSA, PA-QSA, P2PE Assessor | Co-Author of Certified Security Professional for AI (CSPAI) | Author of CIDR and the “SISA Top 5 Forensic Report”
Expertise
AI and Machine Learning Security, Hardware Security Testing, Digital Forensics and Incident Response (DFIR), IoT Security, PCI DSS Compliance, Managed Detection and Response (MDR), Cybersecurity R&D
Passion
Dedicated to advancing cybersecurity innovation by integrating AI, hardware security, and forensics to build resilient security systems. Committed to fostering industry knowledge through mentorship, certifications, and thought leadership
Associate Director – Forensics & R&D
PhD | M.Tech | B.E. | IEEE Best Research Award Winner | Published Author | Patent Holder | CSPAI Trainer
Experienced Cybersecurity Professional with over 18 years of experience across industry, research and academia.
Security Leadership Experience
Associate Director, R&D Forensics at SISA Information Security | Professor and Head, Cyber Security at BMSIT&M| Associate Professor at DSCE| Research Scholar and Faculty at RVCE | Software Engineer and Lead at Celstream Technologies | Software Engineer at RV Systems
Expertise
Network Security, Cryptology, Cyber Forensics, Cyber Security for AI, Machine Learning, and Cyber Security curriculum development
Passion
Dedicated to advancing the field of cybersecurity through education and research, blending academic excellence with industry expertise to inspire the next generation of cybersecurity professionals.
Gain a comprehensive understanding of the various security challenges associated with AI models, including data privacy, model integrity, and adversarial attacks.
Participants learn about the latest industry standards and best practices for securing AI systems, which can be applied to their own projects and organizations.
By understanding the security risks associated with AI, professionals can better assess and manage these risks, leading to more robust and secure AI implementations.
Organizations with certified professionals can improve their overall security posture, reduce the likelihood of security breaches, and build trust with customers and stakeholders.
The certification often covers important regulatory requirements and ethical considerations, helping organizations ensure their AI systems comply with relevant laws and guidelines.
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