Platform / Agentic Governance
Safely deploy AI agents at enterprise scale. Unify humans, on-behalf-of actions, delegated agents, and autonomous workloads into one policy grammar, one enforcement layer, and one continuous audit trail.
The Agentic Gap
Access spans systems.
Governance runs in pieces.
AI agents are moving faster than legacy IAM can govern. With access split across separate tools and audit trails, security teams can’t answer the ultimate question:
“Who can do what, under which conditions, and for how long?”
The Model
Identify who acts. Govern what happens.
Move every access request through one unified execution model by evaluating three questions:
Who or what is acting?
Human user, delegated agent, autonomous workload, or on-behalf-of action.
Where does authority come from?
Trace authority back to its origin: live user session, delegated owner, or policy ceiling.
What is it allowed to do right now?
Evaluate context inline: apply policy ceilings, enforce runtime decisions, and record full accountability.
01 Who or What Is Acting?
Unify human and agentic identities under one model.
Eliminate the gap between the account making a request and the actor behind it. Bring humans, delegated agents, autonomous workloads, and on-behalf-of actions into a single governance framework, giving security teams complete control without blocking innovation.
Trace the authority chain
Surface full delegation chains, human owners, and runtime context for every request.
Eliminate unmonitored execution
Guarantee that every human or AI agent acting across your enterprise becomes fully visible and governable.
02 Where Does Authority Come From?
Classify agents by authority. Apply the right lifecycle.
Agents get authority in different ways, so their access shouldn’t start, run, or end the same way.
Classify every agent by its source to enforce its exact Agentic Governance Lifecycle. Keep human boundaries intact where authority is inherited, set explicit policy ceilings where it is not, and apply the right audit trail across every step.
On-behalf-of agents
Act through a live human session. Their access exists only while that session is valid, and they cannot exceed the human behind them.
Delegated agents
Operate with their own identity, delegated owner, and bounded scope. They can keep working after the human steps back, but never without ownership, attribution, or a policy ceiling.
Autonomous workloads
Run under their own workload identity. There is no human session to inherit from, so policy becomes the ceiling from commissioning through retirement.
03 What Is It Allowed to Do Right Now?
Define one policy language. Enforce every decision.
Evaluate human, on-behalf-of, delegated agent, and autonomous workload access through one shared policy model.
Every decision evaluates four dimensions: who is acting, what target is being accessed, under which conditions, and for how long. The same model sets the boundary, applies the right guardrails, and records the full chain of accountability.
End policy drift
Define one governance model across SaaS, cloud infrastructure, internal APIs, and AI tool calls. Stop recreating controls across disconnected tools or hoping rules stay aligned.
Keep agents within bounds
Resolve delegated authority and escalation paths in one place. Agents cannot approve their own elevation, and unsafe requests wait, deny, or route to a human, never failing open.
Prove every decision
Record the subject, authority source, target, conditions, and outcome behind every request. Get a defensible audit answer instantly, not a manual log reconstruction.
Give agents access.
Keep it governed.
Policy sets the boundary. Agent Guardian applies scoped, time-bound access across governed agent workflows, tying every grant directly to the agent, human owner, policy, and audit trail. No standing secrets. No broad service accounts. No lost accountability.
Explore NewCore Agent GuardianThe Value
Enable agents without
a second IAM stack.
Use one governance model across humans, on-behalf-of agents, delegated agents, and autonomous workloads: fast enough for agentic work, controlled enough for enterprise security.
Converge governance
Replace separate policy surfaces for human IAM, agent access, secrets, and app-level rules with one model security teams can reason about.
Scale agent adoption
Let teams deploy agents without turning every new workflow into a custom project. Authority, ownership, and policy follow the agent.
Reduce operational drag
Stop reconstructing access decisions across disconnected systems. Security and audit teams work from one shared enforcement path and log.