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09/06/2026 11:22 pm
TL;DR: AI rollout, API governance, and cloud traffic control are converging into one operating model rather than separate programmes, as Kong's API + AI Summit 2026 is positioned around practical approaches to rolling out AI and LLM projects with security, reliability, and compliance built in, alongside traffic management across multiple services and clouds, according to Kong.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should security teams govern AI projects that rely on APIs and service accounts?
A: Security teams should govern AI projects as composite identity systems, not isolated applications.
Q: Why do multi-cloud environments create identity governance gaps?
A: Multi-cloud environments create identity governance gaps because trust decisions are distributed across gateways, workload identities, certificates, and delegated accounts.
Practitioner guidance
- Map AI runtime paths to identity controls Document which APIs, tokens, service accounts, and certificates are used by AI and LLM workloads, then identify where authorization is enforced and logged.
- Review cross-cloud trust boundaries Inventory the service identities that cross environments, including gateways, workload credentials, and delegated access between services.
- Align governance review with platform roadmap Ask platform and architecture teams which new AI, automation, or orchestration patterns are coming next, then test whether current access review and policy models still describe those actors accurately.
What to expect at the briefing
Kong's full conference page covers the practical event details this post intentionally leaves out for the source:
- Registration pricing, ticket tiers, and the September 30 to October 1 schedule for planning attendance.
- The justification template and cost estimate details that help managers evaluate conference spend.
- The specific workshop and keynote format that shows where deep technical content will be delivered.
- The certification training add-on and limited-seat structure for teams considering hands-on learning.
👉 Read Kong's API + AI Summit 2026 details and attendance guidance →
API + AI Summit 2026: what it means for AI and API governance?
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10/06/2026 1:40 am
AI and API governance are now converging into a single control plane problem. Conferences like this matter because practitioners are no longer buying separate answers for AI delivery, service connectivity, and identity enforcement. The same runtime path often carries model traffic, user intent, and privileged access, which makes split ownership a governance failure rather than an organisational convenience. Teams should treat AI and API operations as one control surface, not adjacent disciplines.
A few things that frame the scale:
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap, according to The State of Secrets in AppSec.
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities.
A question worth separating out:
Q: How can organisations tell whether their current identity model still fits platform change?
A: Organisations can tell by checking whether the model can still describe who acts, what credentials they use, and where policy is enforced. If a new platform pattern creates access paths that no one can clearly own or review, the identity model is lagging the architecture.
👉 Read our full editorial: API + AI Summit 2026 frames AI security and multi-cloud ops
