What happened?
TCC Group Chief Technology Officer Kit Ruparel recently discussed the operational risks of Agentic AI in Ecommerce & Payments Briefing. He warned that autonomous AI tools operating across multiple platforms create novel vulnerabilities, including data leaks, compliance gaps, and security risks, particularly when deployed without strict oversight.
Why does it matter?
With the rapid rise of ‘shadow AI’ alongside specific risks like prompt injection and unintended actions, software errors can scale instantly. Ruparel emphasizes that agentic AI must be managed as high-risk infrastructure with robust governance, permissions, and security-first deployment rather than treated as simple chat tools.
Supporting sources
Frequently asked questions
What is Agentic AI?
Agentic AI refers to autonomous systems capable of acting independently across multiple platforms to execute complex workflows.
Why is Agentic AI considered high-risk?
Without proper governance, autonomous systems can lead to security vulnerabilities, data leaks, and compliance failures that scale rapidly.
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Reviewed by TCC Group Editorial Team