AI Security & Governance

    Become the architect who secures and governs AI systems at scale. Master the AI attack surface, both OWASP Top 10 lists (LLM Applications 2025 and Agentic Applications 2026), prompt injection red-teaming, layered guardrail architecture, and the governance frameworks now becoming law — EU AI Act, NIST AI RMF, and ISO/IEC 42001. Learn to threat-model AI systems, defend against adversarial attacks, and lead organizational AI compliance, including India's DPDP Act. The credential for senior engineers building AI that must be secure, governed, and trusted.

    Duration

    18 weeks (4.5 months)

    Level
    advanced

    About This Course

    AI security and governance moved from "nice to have" to legally mandated. The EU AI Act enforces from August 2026, with penalties up to 7% of global turnover. Every customer-facing LLM system is now an attack surface, and every regulated industry needs demonstrable AI governance. This course produces the senior engineers and architects who meet that moment. This is an architect-level specialization. It assumes you can already build production AI (the prerequisite is AI Engineering) and teaches you to secure and govern it. You will master the AI attack surface, work through both OWASP lists in depth — the Top 10 for LLM Applications (2025) and the newer Top 10 for Agentic Applications (2026) — and red-team your own systems against real attacks: direct and indirect prompt injection, system prompt leakage, sensitive information disclosure, excessive agency, and supply-chain compromise. On defense, you'll architect layered guardrails — input and output filtering (Llama Guard, NeMo Guardrails, constitutional checks), tool-scope restriction, least-privilege design, human-in-the-loop, and kill switches. On governance, you'll master the framework stack as it actually fits together: NIST AI RMF and ISO/IEC 42001 provide the management loop, OWASP populates it with named technical risks, MITRE ATLAS structures red-teaming, and the EU AI Act imposes the legal obligations the whole system must demonstrably satisfy. You'll handle data governance, lineage, PII, responsible-AI concerns (bias, fairness, explainability), and compliance for regulated industries — including DPDP Act alignment for India. Through a signature project building a complete threat model and security architecture for a high-scale AI system, you'll graduate ready for AI Security Engineer, AI Trust & Safety Lead, and Secure AI Architect roles. This course also anchors NoobSync HI's enterprise training — governance and compliance are exactly what organizations pay a premium to learn. Our Human Intelligence approach ensures you develop the judgment to balance security, usability, and business risk.
    FOUNDING PRICE
    From ₹25,000/month

    Admission via a free career call

    Founding pricing — for our first 50 students across all programs.

    2-minute application · free consultation · no payment required to apply

    Early Bird Special — Limited time pricing

    Course Curriculum (16 Weeks)

    Course Content & Projects

    Comprehensive Learning Experience

    After enrollment, you will receive detailed course materials, week-by-week curriculum, and capstone project specifications. All resources and project details are shared in your student dashboard.

    Full curriculum access • Live sessions • Project guidance • Mentor support

    Career Outcomes

    Potential Job Roles:

    AI Security Engineer
    AI Trust & Safety Lead
    AI Compliance Advisor
    Secure AI Architect
    AI Governance Lead
    AI Risk Manager

    Target Salary Range:

    $160-250k(Global)

    Certificate of Completion

    Earn a blockchain-verified certificate upon successful completion.

    HI Focus: Skills AI Cannot Replace

    Adversarial thinking — anticipating how a human attacker will abuse a system
    Risk judgment — balancing security, usability, and business needs
    Governance leadership — building a compliance culture, not just controls
    Regulatory interpretation — translating law into technical requirements
    Architectural foresight — designing for threats that don't exist yet
    Accountability — owning the trust an organization places in its AI

    "Anyone can build an AI system. An architect builds one that can't be turned against the people who trust it."

    Skills You'll Gain

    AI threat modeling (STRIDE, MITRE ATLAS)
    OWASP Top 10 for LLM Applications (2025)
    OWASP Top 10 for Agentic Applications (2026)
    Prompt injection attack and defense (direct, indirect, multimodal)
    Red-teaming AI systems
    Layered guardrail architecture (Llama Guard, NeMo Guardrails)
    Excessive agency mitigation and agent control planes
    Secure RAG and data governance
    AI supply-chain security and AI-SBOM
    Governance frameworks (NIST AI RMF, ISO/IEC 42001)
    EU AI Act and regulatory compliance
    DPDP Act alignment and regulated-industry compliance
    Secure AI reference architecture
    AI incident response

    Prerequisites

    AI Engineering (must be able to build production AI before securing it)
    Strong understanding of RAG, agents, and LLM systems
    Comfortable with Python
    Recommended: 8+ years overall engineering/security experience
    Helpful: general security or compliance background
    18-20 hours per week availability

    Frequently Asked Questions