As organizations increasingly deploy AI agents to perform tasks like managing calendars, updating CRMs, or executing backend commands, a significant security challenge has emerged: how to grant these agents sufficient access without exposing sensitive production credentials. Alter addresses this by acting as a privileged access management (PAM) layer specifically for AI agents. Instead of developers embedding static API keys or service account tokens into environment variables or prompt configurations—where they are vulnerable to leaks or prompt injection—Alter manages these credentials in a dedicated vault. Agents interact with Alter to request access, and the platform injects the necessary credentials into the request path on a per-call basis.
The logo represents the platform's role in managing credentials for AI agents.
The platform operates on a zero-trust model where every request is verified against a granular policy engine. Alter evaluates each agent's identity and the specific parameters of the requested action, enforcing a 'deny-by-default' stance. For example, a scheduling agent might be granted read-only access to a Google Calendar, while a billing agent might require a human-in-the-loop approval for high-risk actions like issuing refunds. This mechanism ensures that agents operate with the principle of least privilege, receiving only the specific scopes needed for a single task. Furthermore, Alter provides a CISO-ready dashboard that logs every request, response, and policy decision, creating a tamper-evident audit trail that can be streamed to security information and event management (SIEM) systems.
Despite these controls, multi-user agent environments present complex edge cases regarding data isolation. While Alter can secure the credentials used to call an API, it does not inherently solve the problem of 'context leakage' within shared agent memory or conversation histories. If a high-privileged user shares a session with an agent that then interacts with a lower-privileged user, the sensitive data stored in the agent's short-term memory or transcript might remain accessible to the lower-privileged party. Additionally, for downstream services that only offer a single shared API key for multiple users, Alter's ability to enforce record-level ownership (e.g., ensuring a sales rep only sees their own accounts) remains a logic requirement that developers must still implement within their application code. Alter focuses on the infrastructure of credential safety and policy enforcement, but the application-level logic of data partitioning remains a separate architectural consideration.