Summary
What this article covers in 30 seconds
- Agentic AI systems can act independently across multiple platforms.
- Broad access can create data leaks, compliance issues and security vulnerabilities.
- Shadow AI, prompt injection and unintended actions can cause errors to scale quickly.
- Agentic AI should be treated as high-risk infrastructure.
TCC Group’s Kit Ruparel, Chief Technology Officer, said agentic AI systems, autonomous tools that can act across multiple platforms, are introducing a new layer of risk for businesses.
Their ability to operate independently with broad access can lead to data leaks, compliance issues and security vulnerabilities, especially when used without proper oversight or governance. The rise of shadow AI, along with risks like prompt injection and unintended actions, means errors can scale quickly.
High-risk infrastructure
While agentic AI offers significant efficiency gains, companies should treat agentic AI as high-risk infrastructure. That means governance, strict permissions and security-first deployment are needed, rather than viewing it as a simple extension of existing AI tools or an evolution of traditional chatbots.
Frequently asked questions
Agentic AI can create data leaks, compliance issues, security vulnerabilities, shadow AI, prompt injection and unintended actions.
Agentic AI can operate independently across multiple platforms with broad access, so unintended actions can spread quickly.
Companies should treat it as high-risk infrastructure, with governance, strict permissions and security-first deployment.