Enterprise AI has entered a new era. Organizations are rapidly moving beyond question-answering assistants to autonomous agents capable of reasoning, invoking tools, accessing enterprise applications, coordinating with other agents, and completing multi-step business workflows with minimal human intervention.
This shift represents a fundamental change in how software operates. Traditional applications execute predefined logic written by developers. AI agents, however, dynamically determine how to achieve an objective. They decide which tools to use, which APIs to call, what information to retrieve, and how to sequence actions based on context. That flexibility unlocks enormous business value, but it also introduces a new class of security and operational challenges that the industry has not yet solved.
The problem becomes clear when you consider identity and access. In enterprise systems, identity is the foundation of security. Every user, service, and system has an identity that determines what resources they can access. But AI agents operate differently. A single agent might need to access multiple APIs, databases, and applications in sequence to complete a workflow. It might need to coordinate with other agents. It might need to act on behalf of different users or contexts. Traditional identity and access management systems were not designed for this dynamic, multi-step, multi-party scenario.
The natural instinct has been to build gateways. Create a central hub that authenticates agents, manages their permissions, logs their actions, and enforces policies. VCs and startups are investing in this gateway approach. But this puts the cart before the horse. Before you can build a gateway, agents need identity.
Identity for AI agents means something different than identity for users or services. An agent needs to establish who it is, what it is authorized to do, what its lineage is, and how its actions can be audited. It needs verifiable credentials that travel with it across systems. It needs to be able to prove its intentions and its authorization level in real time. It needs to maintain an audit trail that connects its actions back to the business process, the human who initiated it, and the policies that governed it.
This identity layer becomes the prerequisite for everything else. Without it, gateways become rigid chokepoints. With it, agents can operate more autonomously while enterprises maintain control.
The startups and platforms building in this space need to solve the identity problem first. That means creating standards for agent identity and credentials. It means building systems where agents can authenticate to multiple backends without creating security vulnerabilities. It means designing audit trails that work for agents, not just humans.
The vendors betting on gateway-first approaches may find themselves rebuilding when the identity problem becomes unavoidable. The winners will be the ones who recognize that agent identity is the foundation, not the gateway.