The Core Problem: Non-Human Identity Sprawl

In modern digital infrastructure, the number of non-human identities (service accounts, bots, and automated scripts) often outnumbers human users by a ratio of 10-to-1 or more. Traditionally, these identities have relied on "secrets"?long-lived API keys, passwords, and tokens?that are often hard-coded into scripts, stored in plain text, or manually managed in fragmented vaults. Aembit?s mission is to eliminate these "static secrets" and replace them with a unified, policy-based identity model.

Products and Services

1. Aembit Workload IAM Platform

The flagship offering is a centralized control plane that manages the lifecycle of non-human identities. It acts as an independent identity broker that decouples identity from the underlying infrastructure, allowing security teams to manage access consistently regardless of whether the software is running on AWS, Azure, GCP, or on-premises.

2. IAM for Agentic AI

In October 2025, Aembit launched specialized capabilities for Agentic AI, designed to secure autonomous AI agents as they move into production. * Blended Identity: A novel feature that binds an AI agent's unique identity to the human user it represents. This ensures that every action taken by an autonomous agent is attributable to both the software and the authorized person. * MCP Identity Gateway: A secure data plane that manages AI agent access to Model Context Protocol (MCP) servers and sensitive data without exposing credentials to the AI runtime.

3. Secretless Access & Just-In-Time (JIT) Credentials

Aembit enables "Secretless" workflows where developers no longer need to handle or store credentials. * Credential Injection: The platform dynamically injects short-lived, scoped credentials directly into the access request at runtime. * Automated Rotation: Because credentials are issued on-demand and for short durations, the risk of credential theft or leakage is virtually eliminated, and the need for manual rotation is removed.

4. Aembit Edge Components

To facilitate secure connectivity, Aembit utilizes lightweight "Edge" components that sit close to the workload: * Sidecars: Deployed in Kubernetes environments to intercept and secure outbound traffic. * Agents: Installed on Virtual Machines (VMs) or Windows/Linux servers. * Serverless Extensions: Designed for transient workloads like AWS Lambda or CI/CD pipelines.

5. Conditional Access for Workloads

Similar to Multi-Factor Authentication (MFA) for humans, Aembit applies Conditional Access Policies to machines. Access is granted not just based on "what" the workload is, but also on real-time context: * Security Posture: Integrating with tools like CrowdStrike or Wiz to deny access if a workload is running on a compromised host or has unpatched vulnerabilities. * Environmental Factors: Restricting access based on geographical location, time of day, or specific network segments.

Key Features and Capabilities

| Feature | Description | | :--- | :--- | | No-Code Auth | Developers can secure their applications without writing specialized authentication code or managing SDKs. | | Two-Sided Federation | Verifies the identity of both the "Client" workload and the "Server" resource before brokering a connection. | | Centralized Auditing | Provides a single source of truth for all machine-to-machine interactions, simplifying compliance (SOC2, HIPAA, GDPR). | | Identity Brokering | Bridges different identity providers (e.g., AWS IAM, GitHub, Active Directory) into a unified policy engine. |

Strategic Use Cases

• Securing Snowflake & Databases: Managing fine-grained access from analytics tools to sensitive data warehouses without using static service account keys.
• CI/CD Pipeline Security: Eliminating hard-coded secrets in GitHub Actions or GitLab runners.
• Hybrid Cloud Connectivity: Allowing on-premises legacy applications to securely call modern SaaS APIs without complex VPNs or firewall rules.
• AI Guardrails: Enforcing strict boundaries on what Large Language Model (LLM) agents can read or modify across the enterprise.