From generative AI to agentic AI
Generative AI produces content when you ask. Agentic AI goes further: a system pursues a goal by planning steps and using tools, such as querying a log system or calling an API, with fewer human prompts along the way. That autonomy is what makes it useful and what makes it risky.
Where it can help security teams
- Triaging alerts and removing obvious false positives
- Enriching an alert with threat intelligence and asset context
- Drafting incident summaries and timelines
- Suggesting or, with approval, running containment steps
New risks to manage
| Risk | Why it matters |
|---|---|
| Prompt injection | Hostile text in data the agent reads can steer its behaviour |
| Excessive permissions | An agent with broad access can do broad damage if it errs |
| Data leakage | Sensitive data sent to external services may leave your control |
| Confident mistakes | Invented or wrong findings can mislead responders |
| Over-automation | Automated actions without review can disrupt business |
| Attackers using it too | Adversaries can use agents to scale phishing and reconnaissance |
Controls managers should insist on
- Least-privilege access for every agent
- Human approval before any destructive or hard-to-reverse action
- Full logging so every action can be audited
- Testing and evaluation on realistic cases before and after deployment
- Vendor due diligence on data handling and security
- A clear owner accountable for each agent
Questions to ask your team
- What can this agent read, write and run?
- What happens if its input is malicious or wrong?
- Who reviews its actions, and how quickly?
- How will we know if its quality drops?
Where to learn more
IIM Nagpur's PG Certificate in Cyber Security Management and Data Science includes a module on applied AI, generative AI and agentic AI in cyber security, covering what managers should learn, decision-making with these tools and adoption challenges. Batch 04 is listed as closing soon, with classes beginning in November 2026. See fee, instalments and how to apply and our guide to AI governance.
Leading AI adoption in security?
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Frequently Asked Questions
What is agentic AI?
AI that pursues a goal by planning steps and using tools with limited human prompting, as opposed to a model that only responds to individual requests.
Is agentic AI safe to use in security operations?
It can be, with least-privilege access, human approval for consequential actions, thorough logging and testing. Without those controls the risks are significant.
What is prompt injection?
Hostile instructions hidden in content an AI reads, designed to change what the AI does.
Do managers need to be technical?
No. They need to understand the risks, ask the right questions and assign accountability.