Eliminate hard-coded and long-lived credentials – and build truly resilient software deployment pipelines – with a unified identity system across clouds.
Identity & Access Management
Aembit enforces access to your sensitive data and accelerates your AI use with confidence. Apply policy, context, and audit to all agent interactions based on their unique identities.
Snowflake powers data innovation at scale for customers. Aembit secures the agentic workloads and non-human identities behind it.
Enforce policy-based, short-lived access.
Focus on delivery while avoiding credential handling.
MSSP Red Cup IT uses agentic AI to resolve issues automatically in customer environments. Aembit ensures those agents connect safely to enteprise resources.
Allow AI agents to act without risking customer environments.
Verify, monitor, and revoke agent access instantly when needed.
AI isn’t a human and its access can’t be effectively managed the same way. With Aembit, you get continous identity verification, run-time policy enforcement, and context-based access controls for apps, services, and AI agents. Get a centralized control point for all of it.
Aembit provides identity and access management for agentic AI and other workloads at the speed of development: no more half-finished open source identity tools or complex, fragmented vaults.
Aembit transparently provides access control. That means devs don’t need to code auth, and security can confidently provide access to resources with lower risk.
Stop AI access with a click of a button. Audit access in real-time — based on the agent’s unique identity, even if it’s operating on behalf of a user.
Works with MCP, A2A, & custom frameworks. Use Oauth, OIDC, SPIFFE, Kerberos, and more. Flexible authentication across AWS, Azure, and GCP, On-prem and SaaS — without deploying new identity systems.
Access based on an agent or workload’s identity whether it is delegated, autonomous, or chained. No bootstrap secret, no stored secrets and no new certificates to rotate.
Define what AI agents can access with policies + MFA for agents + dynamic context. Access enforced in real-time and per-task: no scripts, no manual workflows, no surprises.
SaaS-delivered, SOC2 and ISO27001 certified. Highly available, reliable, and scalable. We don’t require dozens of add-ons and extensions for basic functions. Built and supported by a dedicated global team.
No more manual provisioning and management of secrets. Offload rotations and audit. Eliminate auth coding while giving security visibility into AI access.
Aembit replaces long-lived credentials with temporary, just-in-time access rights with per-task, contextual auth. No risk of secret leakage or unauthorized access.
Works in any cloud, across SaaS, even on-prem. Multiple auth types, a range of credential types, and no management. Aembit lets devs get back to work.
Use policies to ensure that only verified AI agents can access sensitive data and infrastructure. Stop access with a click.
Provide a single source of intelligence to verify when an agent accessed data. Prevent AI actions being hidden in user delegation.
Support billions of transactions. Automate across complex enterprise environments. Meet the toughest compliance requirements. Today.
“Agentic AI was driving our search for a secure way to control non-human access. Aembit is a step ahead – they solved this elegantly at enterprise-scale.”
“Aembit is a game changer! Along with making us more secure, Aembit also helps automate existing processes. We estimate that Aembit can save us five to 10 hours a day.”
“Securing workload identities is the foundation of a secure by default approach to security. Aembit provides an elegant approach that works across clouds, containers, APIs and SaaS services.”
“Identity is the cornerstone of zero trust. Today robust workload IAM is out of reach of all but the most sophisticated organizations. Aembit is democratizing workload IAM for all enterprises.”
FEATURES
Aembit is an independent identity broker that can secure access for AI agents, MCP servers, and workloads among clouds, SaaS, and on-premise data centers. It’s one central place to enforce & audit access from agents to sensitive resources.
Manage agentic AI access to MCP through a single, auditable data plane. Combine Agent+User into a Blended Identity , combined with the real-time policy enforcement, token exchange, and credential isolation of the Gateway.
Don’t allow agents or workloads to store or share secrets. Instead, use Aembit to deliver a secret just-in-time, per task, and without developer overhead.
Dynamically enforce access rights based on real-time evaluations of AI Agent security posture, geography, time windows and other key behaviors.
See exactly what AI agents and workloads access – not hidden behind users or their parent agents. See everything based on each agent’s unique identity.
Streamline and secure access from AI agents to leading LLMs like OpenAI, Claude, and Gemini, APIs, and tools with policy-based, identity-driven controls.
The explosion of Agentic AI is posing new challenges for security and DevOps teams across all industries and organizational sizes.
Eliminate hard-coded and long-lived credentials – and build truly resilient software deployment pipelines – with a unified identity system across clouds.
FAQs
Aembit is an identity and access management platform for AI agents and workloads. It controls how AI agents and other non-human workloads access enterprise systems without relying on long-lived secrets. Aembit verifies the identity of agents, applications, and services; evaluates access policy and runtime context; and, when access is approved, obtains or issues short-lived credentials. Capabilities include:
AI agents can act autonomously or on behalf of a human user, which is why agentic AI security has become a priority for security teams. They need to verify both what the agent is and what it’s authorized to do, and who initiated the request when a user is involved. For user-driven agents, Aembit evaluates the agent’s identity and the user’s identity together, preserving attribution and enforcing least-privilege policy at runtime. Aembit calls this combined context blended identity.
Aembit verifies an AI agent’s identity before granting access and evaluates policy for each request, applying blended identity when the agent acts on behalf of a human user. For MCP, Aembit provides OAuth 2.1 authorization for MCP clients and applies policy and credential controls to communication between agents and MCP servers, keeping downstream credentials out of the agent’s reach.
Instead of requiring an agent or workload to store a long-lived credential, Aembit uses its verified identity to determine whether access is allowed, then obtains or issues short-lived credentials scoped to that approval. The agent or workload does not need to store or manage the underlying credential, reducing credential exposure, rotation work, and the need for custom authentication code while centralizing access control and audit.
Aembit governs and enforces runtime access itself: verifying identity, evaluating policy and context, enforcing the decision, and issuing short-lived credentials. Aembit can work alongside these existing tools and, in some use cases, replace parts of the existing access stack where identity-based, short-lived access removes the need for stored credentials.
Aembit is built for security, identity, platform engineering, DevOps, and application teams that need to control how AI agents and other non-human workloads access enterprise resources. It is especially relevant for organizations deploying AI agents, automated workflows, CI/CD pipelines, and service-to-service applications that need runtime access to APIs, MCP servers, SaaS applications, cloud services, databases, and internal systems.
Aembit works across AWS, Microsoft Azure, Google Cloud, Kubernetes, GitHub Actions, GitLab, and other cloud, container, and CI/CD environments. It supports access to APIs, SaaS applications, databases, cloud services, and AI platforms including Claude, OpenAI, Gemini, and Microsoft Copilot Studio. Aembit also integrates with security and infrastructure platforms including CrowdStrike and Wiz, allowing security posture and other contextual signals to inform access decisions at runtime. Other announced integrations include Snowflake, and Aembit supports SPIFFE-based workload identities through JWT-SVID and X.509-SVID credential providers.
Aembit is SOC 2 Type II certified and ISO/IEC 27001:2022 certified. Its security program includes continuous monitoring, regular third-party audits, penetration testing, least-privilege controls, encryption, and documented security architecture and threat modeling. Customers can review current certifications, security practices, and compliance documentation through the Aembit Trust Center.
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