AI capabilities have evolved to fundamentally reshape cyber security threats and defenses, challenging traditional security models and infrastructure built for human-speed attacks. This is driven by their ability to rapidly analyze complex systems at scale and uncover vulnerabilities beyond human limits. As AI capabilities continue to accelerate and reduce traditional attack constraints, how can security teams across organizations effectively test and secure systems against AI-native risks? The answer lies in building competence in AI-driven security to prevent isolated weaknesses from escalating into broader system failures. DSCI Certified AI Native Security Researcher (DCASR), supported by CERT-In, has been designed to equip cyber security professionals with the knowledge, practical skills, and hands-on experience required to evaluate, test, and strengthen systems against current and emerging AI-enabled threats.
Unlocks new attack techniques, new abuse paths and new social-technical attack routes.
Add new methods of interpreting and exploiting system behavior.
New challenges to established security principles, including ‘Secure-by-Design’.
Collapsing cost structures behind security attacks while increasing impact.
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Gain practical experience by working within realistic testing environments that simulate modern security challenges.
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Reinforce key concepts through demonstrations, guided exercises, and hands-on implementation to design and execute AI agents for security testing.
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Move beyond traditional vulnerability assessment and understand how AI reveals weaknesses across entire systems.
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Build competencies aligned with evolving needs across security operations, threat intelligence, application security, red teaming, and security research.
Understand the changing cyber security landscape, including how small weaknesses can evolve into complex, emergent exploiting chains beyond traditional methods.
Build AI sandbox environments by designing and configuring controlled sandbox environments to test products and systems against AI-driven threats.
Engineer agentic security workflows by building autonomous agents, choose appropriate models capable of executing workflows from initiation to final analysis.
Develop capabilities resilient to AI threats by strengthening codebases, digital footprints and supply chain components.
Develop real-world research capability by conducting AI-native security assessments in realistic environments and identify systemic vulnerabilities.
Members: INR 12,000 Plus 18% GST (as applicable)
Non-Members: INR 15,000 Plus 18% GST (as applicable)
Note:
"Experience bespoke learning tailored to deliver contextual insights and strategic acumen in privacy governance. Join an exclusive network of privacy-aware professionals."
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