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Ankit Garg

AI Researcher

AI Software and Platform

Ankit Garg is an AI and cybersecurity researcher with deep expertise in securing advanced machine learning systems across cloud, endpoint, email, and agent-security domains. Over the past several years, he has led high-impact research initiatives at organizations including Microsoft, Mandiant/Google, and Cisco—driving innovation at the intersection of AI, threat intelligence, and modern cyber defense. His work spans developing resilient AI techniques, identifying emerging adversarial behaviors, and strengthening the security posture of large-scale enterprise systems. Ankit’s recent focus centers on adversarial attacks against AI models, including prompt-based attacks, indirect manipulation techniques, and broader AI Agent Security. He also pioneered efforts to secure the AI supply chain by building frameworks to detect compromised or tampered machine-learning models. he brings strong operational, technical, and strategic experience, guiding multidisciplinary groups to develop trustworthy, secure-by-design AI systems for the next generation of enterprise security.

Articles

Breaking the Jar: Hardening Pickle File Scanners with Structure-Aware Fuzzing

8 min read

Artificial intelligence and machine learning (AI/ML) models are increasingly shared across organizations, fine-tuned, and deployed in production systems. Cisco’s AI Defense offering includes a model file scanning tool designed to help organizations detect and mitigate risks in AI supply chains by verifying their integrity, scanning for malicious payloads, and ensuring compliance before deployment. Strengthening our […]