An enterprise PAM platform providing privileged session management, credential vaulting, and threat analytics for human administrators across on-premises and cloud environments.
CyberArk governs privileged human access: administrators checking into production systems, DevOps engineers accessing cloud consoles, vendors connecting to sensitive infrastructure. That model depends on a person, a session, a checkout workflow, and a recording. The gap appears when the access request comes from a workload or AI agent rather than a human. Even when CyberArk vaults secrets that workloads need, the workload still requires a bootstrap credential to authenticate to the vault in the first place, and CyberArk was not built for the scale and speed of machine-to-machine authentication. Aembit governs the non-human side of the same environment: workloads, AI agents, and CI/CD pipelines that authenticate to sensitive systems without human intervention, without stored credentials, and without session-based workflows. The two tools operate at different layers and are both present in mature enterprise environments.
Aembit does not replace CyberArk. CyberArk governs human privileged sessions, a problem Aembit was not designed to solve.
Organizations running CyberArk can use Aembit alongside their existing investment without replacing it. Aembit extends the same least-privilege principles that CyberArk applies to human accounts to the workloads and AI agents CyberArk cannot govern. Organizations running both get:
– A unified compliance record. Aembit’s attestation-based audit logs for non-human access can feed the same SIEM and compliance workflows that CyberArk session recordings already flow into, covering SOC 2, NIST SP 800-207, and PCI access control requirements across both human and non-human identities.
– Closed lateral movement paths. Workloads governed by Aembit no longer require static credentials stored in code or config, removing the credential sprawl that PAM cannot govern and that attackers exploit after bypassing the human entry point.
– Parallel governance models. CyberArk continues to govern human privileged access with approval workflows, session recording, and threat analytics. Aembit governs machine-speed workload access with cryptographic attestation and policy enforcement. Neither tool needs to adapt to the other’s use case.
CyberArk and Aembit address different sides of the same privileged access problem.
CyberArk governs human privileged sessions: an admin checking into a production database, a developer accessing a cloud console, a vendor connecting under a zero-trust remote access policy. It handles credential vaulting, session recording, approval workflows, and threat analytics for the humans in the environment who need elevated access.
Aembit governs the access that CyberArk was not built for: the microservices, AI agents, and pipelines that authenticate to those same production systems without human involvement. A microservice makes thousands of API calls per hour. An AI agent acts across multiple systems per task. A CI/CD pipeline needs access for seconds, not a session. None of these have a login, a session to record, or a checkout workflow. And none of them can wait for a human approval step.
The Uber breach illustrates where the gap leads. An attacker used hardcoded credentials to access Uber’s Thycotic PAM platform — credentials that existed because workloads had no purpose-built identity system and were forced to store static secrets in code. PAM secured the human entry point. Without workload identity governance, the hardcoded credentials provided a second path in, and once inside PAM, the attacker pivoted across AWS, VMware, and Google Workspace. CyberArk and Aembit together close both sides of that problem: human identities through CyberArk, non-human identities through Aembit.
Get started in minutes, with no sales calls required. Our free- forever tier is just a click away.
