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02/08/2026 12:05 pm
TL;DR: AI security summits in 2026 are being framed around AI agents, MCP workflows, threat detection, and governance, with the article positioning these events as key venues for CISOs and security teams tracking emerging AI risk. The real signal is that AI security is moving from experimentation to operational control, where identity, access, and accountability have to keep pace.
NHIMG editorial — based on content published by Akto: AI Security Summit 2026, a roundup of top AI security events
By the numbers:
- While 71% of IT teams have been advised on AI agent data access, only 47% of compliance teams, 39% of legal teams, and 34% of executives have the same visibility.
Questions worth separating out
Q: How should security teams govern AI models that can call tools and access data?
A: Security teams should govern AI models as non-human identities with named owners, limited scope, short-lived credentials, and continuous authorization.
Q: Why do AI agents create a governance problem for IAM teams?
A: AI agents create a governance problem because they authenticate and act as autonomous software entities with tool access.
Q: What breaks when AI agent access is not re-evaluated in real time?
A: The main failure is privilege drift.
Practitioner guidance
- Inventory AI agents and MCP-connected workflows Map every AI workflow that can read data, invoke tools, or trigger actions, then assign an accountable owner for each one.
- Bind agent permissions to explicit lifecycle controls Require each agent to have a defined creation, review, revocation, and offboarding path, just as you would for other high-risk non-human identities.
What's in the full article
Akto's full article covers the event-by-event operational detail this post intentionally leaves for the source:
- The specific 2026 summit dates, locations, and event formats for each conference on the list.
- The event descriptions that explain how each summit frames AI security, threat detection, and governance themes.
- The article's full attendee segmentation, including which roles each event is trying to attract.
- The source's closing commentary on why these events matter across AI apps, agents, LLMs, and models.
👉 Read Akto's roundup of the top AI security summits for 2026 →
AI security summits in 2026: what do they mean for IAM and governance?
Explore further
02/08/2026 1:10 pm
AI security is converging with identity governance because agents now behave like operational identities. Once an AI system can call tools, query data, or trigger actions, the question is no longer whether the model is safe in isolation. The issue is whether its access is governed, auditable, and revocable in the same way other high-risk identities are. Practitioners should stop treating agent control as a niche AI concern and start treating it as part of enterprise identity policy.
A question worth separating out:
Q: How do organisations decide whether AI agent controls are mature enough?
A: Look for three signals: every agent has an owner, every permission is scoped to a task or policy, and every action is logged in a way that can be audited. If any of those are missing, the control model is still incomplete.
👉 Read our full editorial: AI security summits in 2026 reflect rising agent governance risk
