Shivaraj Mulimani

Shivaraj Mulimani

Security Data Scientist

Acalvio Technologies

Shivaraj is a Data Scientist at Acalvio, specializing in cybersecurity with over 7 years of experience. He brings deep expertise in Machine Learning, Natural Language Processing, and research-driven development to build innovative AI solutions. Outside of work, Shivaraj is passionate about FPV drones and music.

In today’s AI-driven world, traditional cybersecurity isn’t enough. Generative AI systems can be exploited in new and unexpected ways—and that’s where AI Red Teaming comes in. Think of it as offensive security for your models, probing them before real attackers do.

In this hands-on session, we’ll unpack how red teaming works for GenAI: from simulating real-world attacks and prompt injection to uncovering hidden, risky capabilities. You’ll learn practical methodologies adversarial simulation, targeted testing, and capability evaluation, as well as how to operationalize them at scale.

We’ll also explore frameworks like the MITRE ATLAS Matrix, compliance alignment with NIST AI RMF and the EU AI Act, and must-know tools like Garak, PyRIT, and ART.

By the end, you’ll walk away with a practical playbook to proactively harden your AI systems, detect emerging threats, and build secure, responsible GenAI applications before adversaries get there first.

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Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More

Managing and scaling ML workloads have never been a bigger challenge in the past. Data scientists are looking for collaboration, building, training, and re-iterating thousands of AI experiments. On the flip side ML engineers are looking for distributed training, artifact management, and automated deployment for high performance

Read More
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