As AI agents begin to act, connect, and make decisions across your environment, their identities become a new control plane. Physics Cyber helps you discover, govern, and secure agentic access before it becomes business risk.

Monitoring for autonomous agent activity
Balanced control domains: identity, access, behavior, response
Standing privilege as the target-state access model
Visibility across agents, tools, APIs, data, and cloud paths
Agentic systems often rely on delegated credentials, service accounts, API keys, OAuth grants, and human-approved actions. We help map those paths and apply practical controls that complement Human Identities Security and Machine Identities Security.
Identify AI agents, plugins, automation accounts, and delegated credentials across SaaS, cloud, code, and internal tooling.
Design scoped permissions, just-in-time access, approval flows, and revocation rules for agent actions and tool use.
Monitor agent behavior for unusual data access, privilege expansion, impossible workflows, and risky external calls.
Create records of agent ownership, purpose, permissions, approvals, and activity to support governance and SOC 2 requirements.
⚡
Instantly isolate compromised agents, revoke leaked credentials, or freeze unauthorized workflows the moment anomalous behavior is detected.
📊
Score the risk profile of your AI ecosystem based on data exposure, broad permissions, and third-party dependencies to eliminate shadow AI.
Traditional identity programs were built for humans and predictable service accounts. Agentic identities are different: they can make tool calls, trigger automations, summarize sensitive data, and chain decisions across systems at machine speed.
Physics Cyber helps you integrate agent controls with Secure all apps, user, and locations, Cloud Security Posture Management (CSPM), and Managed Detection & Response initiatives.
“The goal is not to slow AI adoption. The goal is to make every agent observable, accountable, and constrained to the work it is trusted to perform.”

A pragmatic engagement model designed to deliver visibility quickly, then mature controls without disrupting innovation.
Inventory agents, owners, credentials, permissions, data paths, and integrations across your digital estate.
Rank agentic exposure by privilege, sensitive data access, internet reachability, workflow impact, and policy gaps.
Apply guardrails for identity lifecycle, scoped access, secret handling, approval, isolation, and secure integrations.
Connect alerts to Security Information and Event Management (SIEM), response playbooks, and containment workflows.
Our team brings security architecture, cloud defense, identity governance, and incident response experience to emerging AI identity challenges.


Need a broader AI security roadmap? Extend agentic identity controls with AI Security Posture Management (AI-SPM) and Cloud Detection and Response (CDR).
Common questions from teams preparing to operationalize AI agents safely.
Agentic identities are the accounts, credentials, tokens, and delegated permissions used by AI agents or autonomous workflows to take action across systems.
They can combine machine speed with broad access. If unmanaged, agents may expose data, misuse privileges, or amplify compromised credentials.
Most programs begin with a focused discovery and risk assessment to identify high-impact agents, permissions, owners, and control gaps.
No. It extends identity security to AI-driven actors and connects with existing IAM, PAM, cloud, SIEM, and response capabilities.
Tell us what AI agents, automations, or autonomous workflows you are using. We will help you identify the fastest path to visibility and control.
Partner with Physics Cyber to build a practical Agentic Identities security program for AI-powered operations.
With a focus on cyber security and reliable server solutions, we deliver trusted services that keep your systems running smoothly and your data protected.