Artificial intelligence is moving beyond chatbots and text generation.
The next major shift is agentic AI: systems that can plan tasks, interact with software, make decisions, and take actions with limited human intervention.
That shift could change how businesses use AI, but it also introduces a new technology challenge: what happens when an AI system has the ability to act, not just answer?
From AI Assistants to AI Agents
Traditional AI tools generally wait for a user to provide a prompt.
AI agents can go further.
An agent might receive a goal, break it into multiple steps, interact with applications, retrieve information, and continue working toward the objective.
This could make AI useful for software development, customer support, research, cybersecurity, business operations, and other workflows.
But greater autonomy also means greater responsibility.
A New Security Challenge
When an AI agent has access to company applications, databases, APIs, or cloud infrastructure, it effectively becomes another digital identity inside an organization.
Security teams therefore need to know:
What can the agent access?
Which applications can it control?
How long should its permissions remain active?
Can its actions be monitored?
What happens if the agent makes a mistake?
What happens if an attacker manipulates the agent?
Recent industry discussions have highlighted concerns around excessive permissions and poorly managed machine identities as organizations adopt agentic systems.
AI Is Also Changing Cyberattacks
The concern isn't limited to defensive systems.
Security researchers and technology companies are increasingly examining how AI can be incorporated into malware and automated attacks.
Researchers at Cisco Talos recently developed CAIRN, an open-source framework designed to identify malware incorporating AI components. Their work identified malware using large language models to make decisions autonomously, illustrating how AI could make malicious software more adaptive.
This creates a race between automated attacks and automated defense.
Why Continuous Security May Become Essential
Traditional cybersecurity often relies on periodic assessments, vulnerability scans, and human investigation.
Agentic systems operate much faster.
That creates pressure for organizations to continuously monitor AI activity, application behavior, identities, and infrastructure.
AI is already being used on the defensive side as well. For example, Palo Alto Networks recently announced an AI-powered cybersecurity service designed to continuously identify and help address vulnerabilities across applications, APIs, and cloud infrastructure.
The Next Stage of Enterprise AI
Agentic AI could become an important layer of enterprise technology.
But adoption isn't simply about giving AI more autonomy.
Companies will need stronger identity controls, least-privilege access, monitoring, audit trails, human oversight, and clear boundaries around what an AI agent is allowed to do.
The biggest question for businesses may no longer be:
“Can AI do this task?”
It may become:
“Can we safely allow AI to do this task on its own?”
As AI agents move from experimental tools into real business systems, that question will become increasingly important for technology leaders, developers, and security teams.