Agentic AI, a rapidly emerging trend in artificial intelligence, is gaining attention for its ability to autonomously execute tasks and make decisions on behalf of users. Unlike generative AI, which responds to prompts, agentic AI can handle complex, multi-step requests, making it a transformative tool across industries such as healthcare, finance, and supply chain management. Its applications range from automating procurement processes to rerouting shipments and ensuring compliance in real-time.
Despite its potential, agentic AI poses significant security and governance challenges due to its autonomous nature. Organizations must navigate ethical considerations and security risks, including unauthorized actions and alignment issues. Adoption is growing, with surveys indicating that a significant percentage of companies are already using or planning to implement agentic AI.
To mitigate risks, companies should implement security measures such as maintaining human oversight, minimizing task scopes, and adhering to cybersecurity frameworks. Ensuring accountability through logging and fraud protection tools is crucial, as is establishing clear governance policies and commercial contract protections. As the technology evolves, balancing security risks with its market impact remains vital.
