Implementing Agentic AI Pentesting While Managing Risk and Cost
Agentic AI is beginning to change how penetration testing is conducted, but it also introduces new questions around safety, control, governance, and cost. This session focuses on the practical decisions in front of CISOs evaluating or implementing AI-driven penetration testing.
- ✓ A practitioner walkthrough built for CISOs and security leaders
- ✓ Six questions to work through before you put an agent live
- ✓ Sixty minutes, with a live Q&A at the end
Register for the webinar
Tuesday, September 8, 2026. 4:30 PM to 5:30 PM IST. The joining link is sent to your business email once you register.
Who you will be learning from
Arnab Chattopadhayay
More than 23 years solving hard IT security problems, with leadership roles at British Telecom, Tech Mahindra, iViZ (Synopsys), MetricStream, Capgemini, and IBM. Deep grounding in the engineering behind autonomous offensive security, including the guardrails, cost controls, and oversight models that decide whether an agent is safe to run inside a live enterprise.
What the session works through
The objective is not a talk track. It is to give CISOs a working view of what agentic AI pentesting actually involves, where it breaks, and what it costs to run. Six questions anchor the session.
What agentic AI is, and how it differs from traditional security automation.
How to evaluate agentic AI platforms, their real capabilities, and the vendors behind them.
How to implement AI pentest agents within an enterprise environment.
The key risks: excessive permissions, unintended actions, data exposure, and lack of oversight.
Safety guardrails, governance, and human-in-the-loop controls that keep an agent in bounds.
Managing token usage, infrastructure cost, and overall ROI.
Save your seat for the webinar
Register →Tuesday, September 8, 2026 · 4:30 to 5:30 PM IST · Hosted with EC-Council