When P0 set out to solve for standing privilege risk a few years ago, implementing runtime access control for AWS and GCP was the obvious priority. Production infrastructure carries the largest blast radius and the most complex permission models on its own merits, so it made sense to go deep there first, building out the foundational architecture of the P0 AuthZ Control Plane™ along the way.
Until recently, a simple workforce app like Grafana Cloud has not been considered particularly sensitive or complex to secure. There’s a limited set of actions someone can take inside it, nothing close to the permission depth or sensitivity of AWS or GCP. Before autonomous agents, many organizations wouldn’t have included it in their privileged access program.
With agents acting on behalf of the workforce for day-to-day operations, access controls need to expand beyond production environments and cloud infrastructure. Agents access customer data in Salesforce, manage account settings in Cloudflare, adjust alerting rules in Grafana Cloud, query Datadog and update records in HubSpot, often with broad standing permissions originally scoped for a human’s manual workflows or a service account with a predictable and occasional workflow automation. Not for the speed, scale, autonomy or indiscretion introduced by agents.
The new realities of how work gets done in the modern workforce are what turn a lightweight SaaS app into a sensitive system. Standing access and group management systems, built for general IGA use cases, never accounted for these higher stakes. There are far more of these applications than there are cloud platforms, and each one just became a place where an agent can inherit access that sits outside of most privileged access management programs.
Most identity governance tools respond to that sprawl by chasing coverage: turn on just-in-time access for as many logos as possible. That confuses breadth with depth. Bare-minimum provisioning across a hundred apps doesn’t answer the question that matters: should this agent, acting for this user, be allowed to take this action with this permission set right now. Connecting to an app’s API is superficial mechanical work. Extending runtime access control that’s right-sized to a resource’s sensitivity and complexity is the actual engineering problem.
Architectural authorization excellence, AI-enabled workforce application coverage
The P0 AuthZ Control Plane™ already carries that access policy decision layer at its core, enforced consistently across the full action chain at runtime, from the originator making the request to the fine-grained entitlements in the target resource. Once that foundation exists, extending coverage to a new application stops being an intensive engineering project and becomes a narrower adaptation task: identify the access control primitive the application actually uses, then map its endpoints.
That second part is where P0 is putting AI to work, with human oversight, to release integrations in a fraction of the time. Agents can research an app’s API, find the calls for granting and revoking access, and write the integration code, because P0’s investment in the underlying architecture already defines the hard problems of what the integration needs to do. What was a multi-sprint engineering effort becomes roughly 150 lines of code, built by AI in under an hour, and reviewed by human engineers before it ships to customer environments.
Not all SaaS applications are created equal, and none of P0’s integrations are shallow where it counts. What varies is the account management layer underneath: whether the app calls its access unit a team, a group, a role or a permission set. The policy evaluation on top, whether this agent acting for this user or NHI should take this action, runs through the same runtime authorization engine every time.
“The lesson here isn’t that AI can build anything for you. It’s that well-built abstractions let engineers and AI both move fast,” says Nathan Brahms, VP of Engineering at P0 Security. “We were able to ship Cloudflare as a fast follow to Grafana Cloud because the framework already did the hard part. Salesforce and Datadog needed more hands-on work from our team because their access models don’t fit that same shape, and forcing them into it would have created a subpar integration.”
P0 extends runtime access control to Salesforce, Cloudflare, Grafana Cloud and Datadog
Building on this approach, P0 now supports connectors for Salesforce, Cloudflare, Grafana Cloud and Datadog, extending Zero Standing Privilege controls for users and agents beyond cloud infrastructure into broader workforce application coverage.
The apps themselves are no more complicated than they were a year ago. The identities acting inside them are. If your organization has spent the last year removing standing privilege and moving to just-in-time access across production and cloud infrastructure, it’s time to extend that program to keep pace with the agentic workforce era.
Visit the P0 App Documentation to get started with our latest releases including Cloudflare, Grafana Cloud and Salesforce today, or talk to your P0 team about adding workforce coverage to your runtime access control program.
About P0 Security
P0 Security is the unified AuthZ Control Plane™ for agents and users, helping enterprises secure runtime access for the modern workforce. P0 governs the full action chain across agents and users, enforcing least-privilege policy with real-time context, so organizations can control what agents do and with whose authority before they take action in sensitive systems.
Built on a foundation of Zero Standing Privilege and runtime policy enforcement, P0 replaces broad permissions and static credentials with just-enough privilege, just-in-time access and fully traceable activity – avoiding the access control failures that expose enterprise data and critical systems.
Zero Standing Privilege. Zero added friction. Because secure runtime access is Priority Zero™. Learn more at www.p0.dev.