Aembit
IAM for agentic AI and workload identities — secretless, policy-driven, cloud-native.
Aembit fills a genuine gap for teams deploying AI agents like Claude or Copilot Studio in production. Its secretless auth, AI kill switch, and MCP support are standout features. However, it's overkill for simple static service accounts and not suitable for air-gapped environments.
Verified 18d ago · liveness 95/100 · cite: rightaichoice.com/tools/aembit
- Securing AI agents (Claude, Copilot Studio) accessing enterprise resources
- Replacing secrets managers and DIY identity systems for workloads
- Centralized IAM for non-human identities across multi-cloud and on-prem
- Teams needing audit-ready, policy-based access for agentic AI
- Organizations requiring fully self-hosted, air-gapped IAM solutions
- Simple use cases with only a few static service accounts
- Teams that prefer open-source identity tools (e.g., SPIFFE, OAuth2 Proxy)
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Skip Aembit if you manage fewer than 10 workloads or 3 AI agents and have simple static service accounts—free alternatives like HashiCorp Vault will suffice.
Over $20/workload/mo beyond 50 workloads on Teams plan
Aembit's pricing is per-workload or per-agent, making it cost-effective for small teams (free tier for 10 workloads/3 agents). For large deployments, enterprise custom pricing can be negotiated, but it's opaque. Competitors like HashiCorp Vault have transparent per-seat pricing, while cloud-native alternatives like AWS IAM are bundled. Best for mid-market to enterprise with many non-human identities.
In short
Aembit — IAM for agentic AI and workload identities — secretless, policy-driven, cloud-native. Best for Securing AI agents (Claude, Copilot Studio) accessing enterprise resources, Replacing secrets managers and DIY identity systems for workloads, Centralized IAM for non-human identities across multi-cloud and on-prem. Free to start; paid plans from $20/mo.
What's new in Aembit
Checked 17 days agoAcross the latest 1 update: 1 news mention.
Viability Score
How likely is Aembit to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Secretless authentication for AI agents and workloads
- Policy-based short-lived credential issuance
- AI kill switch to stop agent access with one click
- Real-time audit logging for agent actions
- Support for MCP, A2A, OAuth, OIDC, SPIFFE, Kerberos
- Workload identity discovery and exploration
- Integration with CrowdStrike for security posture
- Integration with Wiz for access policy intelligence
- Flexible authentication across AWS, Azure, GCP, on-prem, SaaS
- Centralized policy control plane
- SOC2 and ISO27001 certified SaaS
- Scalable to billions of transactions
- Blended Identity via Human IdPs
- Supports delegated, autonomous, and chained agent identities
- No-code implementation for DevOps teams
About Aembit
Aembit is a centralized identity and access management platform designed specifically for agentic AI agents (e.g., Claude, Microsoft Copilot Studio) and non-human workloads. It replaces fragmented secrets managers and DIY identity solutions with a cloud-native control plane that provides secretless authentication, policy-based short-lived credentials, real-time audit logging, and an AI kill switch to instantly revoke agent access. The platform supports MCP, A2A, OAuth, OIDC, SPIFFE, and Kerberos standards, integrates with HashiCorp Vault, CrowdStrike, and Wiz, and works across AWS, Azure, GCP, on-prem, and SaaS environments. Aembit is SOC2 and ISO27001 certified. Key features include secretless authentication, policy-based short-lived credential issuance, an AI kill switch for one-click agent access revocation, real-time audit logging, integration with CrowdStrike for security posture and Wiz for access policy intelligence, and support for Blended Identity via human IdPs. The platform also provides workload identity discovery and exploration, flexible authentication across multiple cloud and on-prem environments, and a centralized policy control plane. Aembit offers no-code implementation for DevOps teams, enabling them to focus on development without credential handling. Pricing is freemium: a free Starter plan supports up to 10 workloads or 3 AI agents, 10 access policies or 5 MCP authorization policies, 24-hour event log retention, and community support. Teams and Enterprise plans offer higher limits, longer log retention, and live support. Compared to HashiCorp Vault or OAuth2 Proxy, Aembit provides a unified policy-driven interface with AI-specific features like blended identity and MCP authorization, but may be overkill for simple static service accounts.
Behind the Verdict
Aembit is a specialized IAM platform that addresses the growing need to secure AI agents and non-human workloads. For teams deploying Claude, Copilot Studio, or custom AI agents at scale, secretless authentication and the AI kill switch are game-changers — they eliminate the overhead of credential rotation and provide instantaneous incident response. The support for Blended Identity (combining human IdP context with agent identity) is a smart approach to attribution that many competitors lack. However, Aembit is not for everyone. If you only have a handful of static service accounts, a secrets manager like HashiCorp Vault or even plain OAuth2 Proxy will suffice at lower cost. Also, Aembit is SaaS-only and not designed for air-gapped environments, so teams with strict on-premise requirements should look elsewhere. The free tier is generous enough for small teams to evaluate, but pricing for Teams ($20/workload or agent/mo) can add up quickly if you have hundreds of workloads. Compared to alternatives like CyberArk Conjur or Azure Managed Identities, Aembit offers more advanced AI-specific features but comes with vendor lock-in risk. Real-world use: we recommend starting with the free tier for a pilot project with 2-3 AI agents, then scaling only if the policy-driven access and audit capabilities prove necessary. The Copilot Studio integration (announced June 2025) is still fresh — expect ongoing feature additions.
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Real-world workflow fit
Concrete scenarios for the personas Aembit actually fits — and what changes day-one when you adopt it.
You need to secure a Claude AI agent accessing customer data in Snowflake. Aembit issues short-lived credentials and logs every access.
Outcome: Claude gets secretless, policy-bound access; you get audit logs and a kill switch. Compliance achieved.
You manage 200 microservices across AWS and on-prem. Aembit discovers all workloads and enforces least-privilege policies centrally.
Outcome: No more manual secret rotation; Aembit automates policy and revocation. Deploy faster with security.
Use Cases
- Automate least-privilege policy enforcement for all non-human identities across multi-cloud environments
- Monitor real-time workload access logs to detect anomalous credential usage and potential breaches
- Integrate with Okta to extend zero-trust policies from human users to service accounts and API keys
- Rotate secrets across thousands of workloads without downtime using HashiCorp Vault integration
- Audit every workload-to-workload interaction for compliance with SOC 2, HIPAA, or PCI DSS
Limitations
- Pricing for enterprise tiers is not fully public; free tier includes 10 workloads.
- AI features may require a learning curve.
- On-premises-only environments are not supported.
- No free trial beyond starter plan.
as of 2026-06-26
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Aembit tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Workloads Starter
$0/mo
Ideal for
Small teams or hobby projects testing Aembit with up to 10 workloads
What this tier adds
Free entry point with 10 workloads, 10 policies, 24-hour log retention, and community support.
Agentic AI Starter
$0/mo
Ideal for
Developers experimenting with up to 3 AI agents and basic MCP policies
What this tier adds
Free for 3 AI agents, blended identity via human IdPs, single MCP identity gateway, 5 MCP policies, 24-hour logs.
Workloads Teams
$20/workload/mo
Ideal for
Individual teams running up to 50 workloads in production
What this tier adds
$20/workload/mo adds ability to grow to 50 workloads, live support during business hours, and same 24-hour retention.
Agentic AI Teams
$20/agent/mo
Ideal for
Teams running up to 500 AI agents in production with customizable MCP gateway
What this tier adds
$20/agent/mo for 10 agents (scalable to 500), customizable MCP gateway, unlimited MCP policies, 7-day log retention, live support.
Workloads Enterprise
Custom
Ideal for
Large organizations needing unlimited workloads, conditional access, and 24x7 support
What this tier adds
Custom pricing unlocks unlimited workloads and policies, custom event log retention, conditional access, and 24x7 support.
Agentic AI Enterprise
Custom
Ideal for
Enterprise-wide deployment of AI agents needing unlimited agents, custom retention, and conditional access
What this tier adds
Custom pricing for unlimited agents, customizable MCP gateway, unlimited policies, custom log retention, conditional access, 24x7 support.
Where the pricing makes sense
The company stage and team size where Aembit's pricing actually pencils out — and where peers do it cheaper.
Aembit's pricing is per-workload or per-agent, making it cost-effective for small teams (free tier for 10 workloads/3 agents). For large deployments, enterprise custom pricing can be negotiated, but it's opaque. Competitors like HashiCorp Vault have transparent per-seat pricing, while cloud-native alternatives like AWS IAM are bundled. Best for mid-market to enterprise with many non-human identities.
Setup time & first value
How long it actually takes to get something useful out of Aembit — broken out by persona, not the marketing-page minute.
For a small team with 10 workloads, setup takes about 1 hour: sign up, deploy the agent, and define policies. For large-scale deployments with hundreds of workloads and custom integrations, plan for 1-2 weeks including policy tuning and testing.
Switching to or from Aembit
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From HashiCorp Vault: Migrate existing workload identities and policies via Aembit's API, then decommission Vault agents gradually.
- →From DIY scripts: Replace hand-rolled OAuth/API key management by configuring Aembit's policy engine and integrating with your CI/CD pipeline.
- ↗To HashiCorp Vault: Export Aembit policies and credentials, then reconfigure workloads to use Vault's secret store.
Integrations
Resources & Guides
Official links
Tools that pair well with Aembit
Common stack mates teams adopt alongside Aembit, with the specific reason each pairing earns its keep.
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