Secretless IAM Secures Agentic AI Workloads
Replace long-lived secrets with identity-based, short-lived access for AI agents using policy enforcement and real-time audits, saving 2-5 FTEs and cutting 85% of credential tasks per case studies.
Eliminate Secrets for AI Agents with Identity-Based Access
Traditional human IAM fails for AI agents and workloads because agents aren't humans—they need continuous verification, runtime policies, and context-aware controls without stored secrets. Use secretless authentication: grant short-lived, just-in-time credentials based on unique agent identities (delegated, autonomous, or chained). This avoids bootstrap secrets, rotations, and leakage risks. Aembit brokers access across AWS, Azure, GCP, on-prem, and SaaS using standards like OAuth, OIDC, SPIFFE, Kerberos. Result: developers skip auth coding, security enables access confidently, and agents act autonomously without compromising environments.
Enforce per-task access dynamically—no scripts or manual workflows. Combine agent+user into blended identities for MCP servers, adding MFA-strength conditions like security posture, geography, or time windows. This delivers operational visibility: audit logs per agent identity (not hidden in user sessions) and a one-click kill switch to revoke access instantly.
Policy-Driven Controls Accelerate Secure AI Adoption
Define granular policies for what AI agents access, enforced in real-time at the gateway with token exchange and credential isolation. Supports billions of transactions in complex enterprises, SOC2/ISO27001 compliant, SaaS-delivered without add-ons. For agentic AI hitting LLMs (OpenAI, Claude, Gemini), APIs, or tools, centralize control in one data plane—verify, monitor, revoke per agent.
Offload secret provisioning, rotations, and audits to cut developer overhead. Works for all workloads: multi-cloud, SaaS, on-prem. Gain audit-ready logs as a single intelligence source, preventing hidden AI actions via user delegation.
Case Studies Prove FTE Savings and Speed Gains
Snowflake secured agentic workloads: saved 2 FTEs, cut 85% of credential issuance/rotation/audits, added conditional policies and identity logging. Large retailer replaced HashiCorp Vault DIY: saved 3-5 FTEs, delivered 6 months early, streamlined management. Property firm hit 7-month ROI: no-code multi-cloud setup, no stored credentials, better troubleshooting logs. Red Cup IT deployed AI agents in customer envs: short-lived access reduced manual handling, extended controls to cloud/desktop without disruption.
Testimonials confirm: Snowflake saved 5-10 hours/day automating processes; scales to enterprise zero trust for non-humans across clouds/containers/APIs/SaaS.