GISEC Global 2026
GISEC 2026: AI Agent Security and the Future of Cybersecurity
11 pm P.T.
Dubai Exhibition Centre, Expo City Dubai
Dubai Exhibition Centre, Expo City Dubai
GISEC Global 2026 brought the cybersecurity industry together for three days of discussions, demonstrations, and meetings. AI agent security stood out in conversations with industry leaders: As agents gain access to business systems and take on more tasks, organizations need to know what each agent is allowed to do and who is responsible for its actions.
Our interviews also covered application security, the role of human analysts, vendor accountability, and the physical infrastructure behind AI. The event has concluded, but these questions remain relevant to businesses evaluating autonomous systems.
Dates: September 16–18, 2026
Location: Dubai Exhibition Centre, Expo City Dubai
Format: In-person cybersecurity exhibition and conference
Key topics: AI agent identity, security guardrails, human oversight, application security, supplier risk, and data center security
Status: Concluded
· Identity and Access
As organizations give AI agents more responsibilities, identity becomes a practical security issue. Each agent needs clearly defined permissions, an accountable owner, and a record of its actions. These controls help teams understand what happened when an agent makes a mistake or exceeds its intended role.
· Human Oversight
AI can speed up repetitive work, but decisions with significant consequences still require appropriate review. Setting approval points and knowing when to stop an automated process are part of deploying AI responsibly.
· Infrastructure and Partnerships
Cybersecurity extends beyond software. Data centers, cloud services, suppliers, and connected platforms all affect an organization’s security. GISEC brought these parts of the industry together, creating space to discuss risks that no single company can manage alone.
· AI agents need clear boundaries. As agents take on more tasks, organizations need to define what each one is allowed to do and who is responsible for its actions.
· Security teams need visibility and control. AI agent security includes monitoring activity and being able to intervene when an agent behaves unexpectedly.
· Results matter more than labels. Buyers need to know which problem a security tool solves and whether it delivers measurable value.
· People remain accountable. Organizations need to decide where human approval and judgment are required, even when AI handles the work.