# AI Credential & Secret Management

> Source: https://ibl.ai/resources/capabilities/ai-credential-management


*AES-256-GCM encrypted vaulting, rotation policies, and per-agent scoping — so no secret ever lives in agent code.*

Every AI agent your organization deploys needs credentials: API keys, database passwords, OAuth tokens, and service secrets. Without a dedicated infrastructure layer, those secrets end up hardcoded, scattered, and unaudited.

ibl.ai's Security Layer provides production-grade credential and secret management built directly into the Agentic OS. Secrets are encrypted at rest with AES-256-GCM, scoped per agent, and rotated on policy — never exposed in code or logs.

This is not a bolt-on plugin. It is a core infrastructure primitive that every agent, skill, and integration running on ibl.ai inherits automatically — the same way an OS provides process isolation without each application implementing it from scratch.

## The Challenge

As organizations scale AI agent deployments, credentials multiply rapidly. Each agent may call a dozen external services — LLMs, databases, CRMs, payment processors — and each connection requires a secret. Without centralized infrastructure, engineering teams resort to environment variables, config files, or worse: hardcoded strings in agent prompts and tool definitions. A single leaked repository or misconfigured container exposes the entire organization.

The problem compounds at scale. With hundreds of agents running across multiple tenants, there is no visibility into which agent holds which credential, no automated rotation, and no mechanism to detect when a secret has been compromised. Incident response becomes a manual, high-stakes scramble. Compliance audits reveal sprawling, untracked secret usage that violates HIPAA, SOX, and FedRAMP requirements. The root cause is always the same: credentials were treated as an application concern rather than an infrastructure concern.

## How It Works

1. **Secrets Registered in the Vault:** Operators register credentials — API keys, database URIs, OAuth tokens, service passwords — through the ibl.ai admin console or API. Each secret is immediately encrypted with AES-256-GCM and stored in the isolated credential vault within the Security Layer.
2. **Per-Agent Credential Scoping:** Each secret is bound to one or more specific agents or agent roles via policy. An agent running a customer support skill receives only the CRM token it needs — never the database password used by the analytics agent. Least-privilege is enforced at the infrastructure level.
3. **Runtime Secret Injection:** When the Agent Runtime executes an agent, the Orchestrator requests the agent's scoped credentials from the vault at runtime. Secrets are injected into the execution context in memory — they never appear in agent code, prompts, logs, or tool definitions.
4. **Continuous Leak Scanning:** The Security Layer continuously scans agent definitions, skill configurations, logs, and outbound payloads for patterns matching known secret formats. Detected exposures trigger immediate alerts and optional automatic revocation.
5. **Automated Rotation Policies:** Rotation schedules are defined per credential type — daily, weekly, on-demand, or triggered by anomaly detection. The vault coordinates rotation with connected systems via the Integration Bus, updates the encrypted record, and re-scopes to all bound agents with zero downtime.
6. **Full Audit Trail:** Every credential access, rotation event, scope change, and scan result is written to the immutable audit log. Compliance teams can export structured reports demonstrating credential governance for HIPAA, SOX, FedRAMP, and ISO 27001 audits.

## Features

### AES-256-GCM Encryption at Rest

All credentials are encrypted using AES-256-GCM with per-tenant key derivation. Encryption is handled by the Security Layer infrastructure — no application code manages keys directly.

### Per-Agent Credential Scoping

Secrets are bound to specific agents, agent roles, or execution contexts. An agent can only access the credentials explicitly granted to it — enforced at the Orchestrator level, not by developer convention.

### Credential Leak Scanning

Continuous pattern-matching scans across agent definitions, skill payloads, logs, and API responses detect accidental secret exposure. Alerts are routed to security teams with full context and remediation options.

### Automated Rotation Policies

Define rotation schedules by credential type, sensitivity tier, or compliance requirement. The vault handles coordination with downstream systems via the Integration Bus, ensuring seamless rotation without agent downtime.

### Runtime Secret Injection

Secrets are resolved and injected into agent execution contexts at runtime — in memory only. They never appear in source code, configuration files, agent prompts, or persisted logs.

### Multi-Tenant Vault Isolation

In multi-tenant deployments, each organization's credential vault is cryptographically isolated. A credential belonging to one tenant is structurally inaccessible to agents running under any other tenant.

### Immutable Compliance Audit Log

Every vault operation — access, rotation, scope change, scan alert — is recorded in a tamper-evident audit log. Exportable reports support HIPAA, SOX, FedRAMP, and ISO 27001 compliance reviews.

## With vs. Without

| Aspect | Without | With |
|--------|---------|------|
| Secret Storage | API keys and passwords hardcoded in agent definitions, environment variables, or config files with no encryption | AES-256-GCM encrypted vault with per-tenant key isolation — secrets never exist in plaintext outside of authorized runtime contexts |
| Credential Scoping | All agents share a common set of credentials or environment variables, granting every agent access to every connected system | Per-agent scoping enforced at the Orchestrator level — each agent accesses only the credentials explicitly bound to its role |
| Secret Rotation | Manual rotation requiring coordinated updates across all agent configurations, high risk of downtime, and frequent deferral due to complexity | Automated rotation policies with zero-downtime staging, downstream system coordination via Integration Bus, and full audit logging |
| Leak Detection | No scanning — leaked secrets in logs, error messages, or repositories go undetected until a breach is reported externally | Continuous scanning across agent definitions, logs, and payloads with 200+ secret format patterns and automated alert routing |
| Compliance Auditability | No structured record of credential access — compliance audits require manual reconstruction from disparate logs with significant gaps | Immutable, tamper-evident audit log covering every vault operation, exportable as structured compliance reports for HIPAA, SOX, and FedRAMP |
| Incident Response | Credential revocation requires identifying every location where a secret is used, manual updates, and high risk of missed instances | Single-point revocation from the vault immediately removes credential access for all bound agents across the entire fleet |
| Multi-Tenant Isolation | Shared secret stores with application-level access controls — a misconfiguration can expose one tenant's credentials to another | Cryptographic vault isolation per tenant — structural impossibility of cross-tenant credential access regardless of application-layer configuration |

## FAQ

**Q: How does ibl.ai prevent secrets from appearing in agent prompts or logs?**

Secrets are resolved by the Orchestrator at runtime and injected into the agent execution context in memory. They are never written into agent definitions, prompt templates, skill configurations, or persisted logs. The vault enforces this at the infrastructure level — it is not dependent on developer discipline.

**Q: Can we integrate ibl.ai's credential vault with our existing secret management infrastructure like HashiCorp Vault or AWS Secrets Manager?**

Yes. The ibl.ai vault supports federation with external secret stores including HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, and GCP Secret Manager. You can use ibl.ai as the agent-facing credential layer while your existing KMS handles root key management — preserving your current security architecture.

**Q: How does per-agent credential scoping work in practice for a large agent fleet?**

Each agent or agent role is assigned a credential policy at registration time. The Orchestrator enforces this policy at execution — when an agent requests a tool call requiring a credential, the vault validates the agent's scope before releasing the secret. Scope changes take effect immediately without redeploying agents.

**Q: What happens during a credential rotation — is there downtime for running agents?**

No. ibl.ai uses a staged rotation model: the new credential is provisioned and validated against the target system before the old one is revoked. Running agents continue using the current credential until the new one is confirmed active, then the vault atomically switches the binding. Zero downtime is the default behavior.

**Q: How does the credential leak scanner work and what does it cover?**

The scanner runs continuously against agent definitions, skill payloads, outbound API calls, and log streams using pattern libraries covering 200+ secret formats — including API key patterns for major cloud providers, JWT structures, private key headers, and database connection string formats. Detections trigger immediate alerts and optional automatic revocation.

**Q: Does this satisfy HIPAA, SOX, and FedRAMP credential management requirements?**

The ibl.ai credential vault is designed to satisfy the access control, encryption, and audit logging requirements of HIPAA Security Rule, SOX IT controls, and FedRAMP Moderate/High baselines. The immutable audit log exports structured compliance reports, and encryption controls map directly to NIST 800-53 IA and SC control families.

**Q: Is the credential vault available when ibl.ai is deployed on our own infrastructure?**

Yes. ibl.ai is delivered with full source code ownership and supports deployment on your private cloud, on-premises infrastructure, or VPC. The credential vault is a core Security Layer component included in all deployment models — you retain complete control over where secrets are stored and which KMS manages encryption keys.

**Q: How is credential access isolated between tenants in a multi-tenant deployment?**

Each tenant's credentials are encrypted under a separately derived key using HKDF. The vault's access control layer enforces tenant boundaries at the cryptographic level — not just the application level. A misconfigured agent or compromised session in one tenant cannot structurally access another tenant's vault partition.