NSD Certified AI Security Professional (NCAISP)
The NSD Certified AI Security Professional – Core Edition (NCAISP) is a comprehensive certification designed to equip cybersecurity professionals with the knowledge and skills to secure AI systems and leverage AI for cybersecurity. The course covers AI and LLM security, RAG vulnerabilities, Agentic AI, secure AI architecture, threat modelling, and AI red teaming. It also explores the use of AI in security operations, threat detection, investigation, and incident response. Delivered through 16 hours of live instruction over four weekends, the program combines expert-led sessions, demonstrations, and practical case-based exercises.
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NCAISP program available on GeM.
Delivery Partner
ISAC AEROSpace Pvt. Ltd
Overview
The NCAISP Core Edition is a 16-hour certification program designed to develop expertise in securing Artificial Intelligence systems and applying AI to cybersecurity operations. Delivered over four weekends through eight live sessions, the course covers modern AI attack surfaces, Large Language Model (LLM) security, Retrieval-Augmented Generation (RAG), Agentic AI, and AI supply-chain risks.
The curriculum follows a dual-lens approach: Cybersecurity for AI, focusing on protecting AI models, applications, data, agents, and infrastructure; and AI for Cybersecurity, exploring AI-powered threat detection, security investigations, threat hunting, and incident response.
Participants learn to apply industry frameworks such as OWASP GenAI, MITRE ATLAS, and CSA MAESTRO to threat modelling, secure architecture, AI red teaming, and security operations. The program combines instructor-led teaching, demonstrations, architecture walkthroughs, and case-based exercises to build practical understanding of emerging AI security challenges.
Designed for SOC analysts, security engineers, penetration testers, AI/ML engineers, and cybersecurity leaders, the course provides a foundation for securing AI-enabled environments and integrating AI responsibly into modern cybersecurity workflows.
Program Outline
- SAT: Modern AI stack — LLMs, reasoning models, RAG, APIs, gateways, identities and AI supply chain
- SAT: Map attack surfaces across model, data, application, agent and infrastructure layers
- SUN: Prompt injection, jailbreaks, context manipulation, data disclosure and guardrail bypass
- SUN: Apply OWASP GenAI LLM Top 10 concepts and core application-layer defenses
- SAT: RAG poisoning, malicious documents, vector-store risk, fine-tuning and model provenance
- SAT: Secure retrieval, data pathways and AI supply-chain dependencies
- SUN: Goal hijacking, memory poisoning, tool misuse and excessive autonomy in AI agents
- SUN: MCP/A2A, non-human identities, delegated authority and multi-agent trust boundaries
- SAT: OWASP LLM & Agentic Top 10, MITRE ATLAS and CSA MAESTRO
- SAT: Threat paths, attack trees and agentic-AI threat modeling
- SUN: Secure AI SDLC, LLMOps/AgentOps, AI gateways, isolation and runtime controls
- SUN: AI red teaming and open-source testing concepts including PyRIT, garak and promptfoo
- SAT: Prompt, model, RAG, agent and tool telemetry; anomaly detection and agent containment
- SAT: AI incident response, credential revocation, rollback, forensics and evidence preservation
- SUN: AI-assisted SOC, investigation, threat hunting, detection engineering and vulnerability prioritization
- SUN: Security agents, Agentic SOC, human-machine control and integrated architecture case
Program Outcome
- Map the complete modern AI attack surface
- Identify LLM, RAG, model and data attacks
- Understand Agentic AI, MCP/A2A and NHI security
- Apply OWASP, MITRE ATLAS and CSA MAESTRO concepts
- Design secure AI architecture, LLMOps and AgentOps controls
- Plan AI red-team and security-testing approaches
- Monitor and respond to AI-specific incidents
- Use AI safely for SOC, investigation and Agentic SOC workflows.
- Stay Ahead of Emerging Threats: Understand evolving security risks associated with AI, Large Language Models (LLMs), RAG systems, and Agentic AI.
- Master Both Sides of AI Security: Learn to secure AI systems while leveraging AI to strengthen cybersecurity operations.
- Industry-Aligned Frameworks: Explore OWASP GenAI, MITRE ATLAS, and CSA MAESTRO for threat modelling, secure architecture, and AI security testing.
- Practical, Expert-Led Learning: Gain insights through live instruction, demonstrations, architecture walkthroughs, and real-world case-based exercises.
- Career-Relevant Skills: Build foundational capabilities in AI red teaming, threat detection, security operations, and AI incident response.
NCAISP empowers cybersecurity professionals to navigate the evolving AI threat landscape and build confidence in securing AI-driven environments.
- Live Instructor-Led Session
- 60 Days to Access eLearning Modules
- NSD Certification
- 2 Complimentary Attempts to Pass
- *Prices exclude applicable taxes
Upcoming Batches!
November Batch
Dates yet to be finalised
December Batch
Dates yet to be finalised
A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies.
Benefits of FutureSkills Prime:
- Participation and Course Completion Certificate
- Incentives from the Government of India. Get part fee refund.
- Access to Career Fairs, Hackathons, Internships, Skill Challenges, etc
- Flexibility to pick from the variance of courses aligned to NSQF (National Skills Qualifications Framework)
- Opportunities to apply for roles like security analyst, cloud architect, and IoT network specialist.
The course is best suited for
- SOC analysts and incident responders
- Security architects and security engineers
- AppSec, DevSecOps and cloud security professionals
- Pentesters, red teamers and blue teamers
- AI/ML and platform engineers
- Cybersecurity leaders and technology-risk professionals