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Bruno Pedro explores why conventional API design may no longer be sufficient for the emerging “agentic” era, and highlights the shift towards more adaptive, machine-readable frameworks built specifically for intelligent agents. He offers a thought-provoking look at how organisations may need to rethink digital architecture to remain relevant in an increasingly agent-driven ecosystem.

Judith Kahrer examines how increasingly autonomous AI agents are exposing critical weaknesses in traditional API authorisation models, from uncontrolled privilege escalation to unintended data access. She offers a timely perspective on the security challenges organisations must address before autonomous systems become deeply embedded across modern digital infrastructure.

Charles Humble explores how the rapid adoption of AI agents is creating a growing disconnect between technical operations and real business accountability, leaving organisations exposed to uncontrolled costs, API sprawl, and poor visibility into AI-driven activity.

Marco Palladino examines the core principles developers often overlook, from interface design and security to scalability and interoperability, and explains why poor API decisions can create long-term technical and business consequences.

Charles Humble explores how many organisations are rushing towards MCP and agentic AI without the API governance, documentation, and operational maturity required to support them safely at scale. It offers a compelling perspective on why API portals, OpenAPI specifications, and context-aware access controls may now determine which businesses can adapt and which will struggle to keep pace with AI-driven change.

Janakiram MSV explores how Anthropic’s acquisition of SDK tooling company Stainless signals a major shift in the AI industry’s competitive landscape, where control over developer infrastructure is becoming as strategically important as model performance itself. The article offers a compelling look at why the next phase of AI competition may be decided not by the models alone, but by who controls the surrounding toolchain.

The Gravitee team explores how businesses risk becoming invisible to AI agents if they fail to expose meaningful, machine-readable context alongside their APIs and digital services. The article offers a forward-looking perspective on why organisations must rethink how information, permissions, and business logic are exposed if they want autonomous systems to engage with their platforms effectively.

Matthias Biehl argues that AI agents remain fundamentally limited without secure, structured access to enterprise systems, data, and operational context delivered through well-governed APIs and emerging standards such as MCP (Model Context Protocol).

Roey Eliyahu argues that while attention has focused heavily on model safety and prompt-level protections, the real risk lies in the “action layer”, where agents interact directly with APIs, MCP servers, and internal systems, often outside the visibility of traditional security tools.

Bill Doerrfeld examines how the Model Context Protocol (MCP) is rapidly emerging as a practical foundation for supplying AI agents with the precise, real-time context they need to perform complex software engineering tasks effectively. The article positions MCP as a key enabler of scalable, standardised context delivery across tools, systems, and services.

Hugh Carroll shares that traditional, reactive security approaches are no longer sufficient in environments where agents can autonomously discover, invoke, and chain API calls at scale, often outside human oversight. Hugh suggests that securing the “agentic enterprise” depends less on restricting AI itself and more on tightly governing the APIs that agents depend on, making API security a foundational control plane for safe AI adoption.

This panel discussion at DSP Leaders World Forum examines how telcos can execute on network API opportunities while addressing the challenge of limited commercial traction. Deutsche Telekom’s Nathan Rader advocates focusing on API monetisation before pursuing agentic operations and proposes a three-layer network stack approach, while the GSMA’s Raman Mistry reports that two-thirds of Open Gateway deployments centre on trust and security solutions. The industry experts, including David Boswarthick from ETSI and Diego Lopez from Telefónica, also discuss how to complement rather than compete with hyperscalers through unique network-based capabilities.

I am running a research project called Beyond the Linter. The project explores how organisations actually run the people-and-process side of API governance. I am looking for people who work in API governance to take part in the study. Would you be willing to take part? See the full details here.

Leadership is asking: where is AI delivering value for us and where is it creating risk? Right now, most teams have no idea.

With Harmonic Security’s Usage Explorer, you get a complete picture of how your organization actually uses AI, automatically categorized into custom use cases with complete tool-level granularity.

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