What is AgentSecrets?
The Zero-Knowledge Difference
How AgentSecrets Works
Installation
Quick Start
Migrating from .env Files
Migrating from Vault / AWS
Migrating from dotenv-vault
Production Checklist
Credential Exposure
What Zero-Knowledge Means
The Proxy Model
The Three-Layer Model
Environments
Agent Identity
Storage Modes
The No get() Principle
Secret-Level Policies
Cloud Overview & Architecture
The Dual-Engine Model
Cloud Resolver Data Plane
Workload & Agent Tokens
Egress Allowlists & Audit Streams
Cloud REST API Reference
Account (init / login)
Server & Self-Hosting (server)
Docs
Shell Autocompletion
Keychain Auth
Secrets
Environments
Credential Proxy
env Injection
Workspaces & Teams
Projects
Agent Identity
Audit & Governance
Integrations Overview
Claude Desktop
Cursor
OpenClaw
HTTP Proxy (Any)
LangChain (Soon)
CrewAI (Soon)
CI/CD Pipeline
SDK Overview
Python SDK
Python API Reference
Python SDK Manual Testing
JavaScript SDK (Soon)
Ecosystem Overview
Zero-Knowledge MCP Server
Server Overview
5-Layer Architecture
Self-Hosting Guide
Authentication & Keys
Workspaces & Teams
Projects & Scope
Environments
Secrets & Sync Protocol
Agent Identity Resolution
Telemetry & Metrics Engine
Audit Log Sync
API Endpoint Reference
Security Overview
Anti-Impersonation & Process Verification
Encryption Model
Zero-Knowledge Sync
Proxy Security Layers
Threat Model
OWASP Top 10 Mitigation
Security FAQ
Third-Party Audit
Reporting Vulnerabilities
Guides Overview
Building on the SDK
Stripe Integration
OpenAI Integration
Multi-Agent Setup
Onboarding Team
CI/CD Pipeline
Publishing ZK MCP
Rotating Credentials
Auditing Team Activity
Dev to Production
Kubernetes Deployment
Monorepo Setup
Production Proxy Hardening
vs .env Files
vs HashiCorp Vault
vs AWS Secrets Manager
vs dotenv-vault
vs Infisical
When Not to Use
Proxy Not Starting
Proxy Not Resolving
Domain Blocked
Sync Conflicts
MCP Not Connecting
Session Token Errors
Proxy Session Authorization
Keychain Storage & Backends
SSRF & Destination Rules
Installation Issues
Error Codes Reference
Frequently Asked Questions
v3.1.x
v3.0.0
v2.1.0
v2.0.0
v1.4.0
v1.3.x
v1.2.0
v1.1.x
v1.0.x
SecurityOWASP Top 10 Mitigation

OWASP Top 10 Mitigation (ASI:2026)

Autonomous AI agents and multi-agent systems present unique security vectors that traditional application security models fail to address. AgentSecrets is explicitly engineered to mitigate the critical vulnerabilities identified in the OWASP Top 10 Risks for Agentic AI Systems (ASI:2026).

By moving credentials below the application runtime and managing them at the transport layer, AgentSecrets provides structural defenses against agentic vulnerabilities.


Mitigation Mapping

OWASP Agentic RiskHazard DescriptionAgentSecrets Mitigation
ASI02: Tool Misuse & ExploitationHijacked tool calls targeting rogue domainsEnforces outbound domain allowlists at the proxy boundary; tools only hold abstract references
ASI03: Agent Identity & Privilege AbuseExploiting over-privileged agents or stolen keysCryptographic Agent Tokens track each agent's calls and support instant, zero-downtime revocation
ASI04: Agentic Supply Chain CompromiseMalicious packages/dependencies reading env varsEliminates plaintext .env files; keychain-auth validates process binary signatures
ASI06: Memory & Context PoisoningPlaintext keys entering memory/traces via reflectionActive transport scanning automatically redacts reflected credentials from responses

Detailed Risk Profiles

ASI02: Tool Misuse & Exploitation

  • The Risk: A compromised agent is manipulated into abusing connected tools, executing unauthorized actions, or attempting Server-Side Request Forgery (SSRF) by calling rogue external API endpoints.
  • The Mitigation: AgentSecrets acts as a secure network gateway. It enforces strict Workspace Allowlists on outbound HTTP/HTTPS requests at the proxy layer. If a compromised agent is redirected to call an unauthorized domain, the connection is rejected at the proxy boundary before any request is transmitted or secrets are resolved.

ASI03: Agent Identity & Privilege Abuse

  • The Risk: In multi-agent workflows, over-privileged agents can abuse credentials, or an attacker can hijack a compromised agent to access sensitive systems without detection.
  • The Mitigation: AgentSecrets implements Cryptographic Agent Identity (Agent Tokens). Outbound calls are signed with an agent-specific token, creating an immutable audit trail of exactly which agent instance made each call. If an instance is compromised, its specific token can be revoked instantly via the CLI or dashboard without rotating the underlying API keys, preventing cascading privilege abuse.

ASI04: Agentic Supply Chain Compromise

  • The Risk: Third-party integration libraries, database packages, or agent frameworks in your execution tree can contain malicious backdoors designed to scan configuration files or read local system environment variables.
  • The Mitigation: AgentSecrets eliminates plaintext .env files entirely by storing credentials natively in the secure OS keychain. Additionally, the keychain-auth daemon verifies the cryptographic binary hash of any local process attempting to resolve secrets. Unauthorized scripts or compromised package dependencies are structurally blocked from reading the keychain.

ASI06: Memory & Context Poisoning

  • The Risk: Plaintext credentials reflected in API errors or stack traces can easily enter the agent's long-term memory or vector database context. This permanently poisons the agent's context, making the secrets retrievable in subsequent prompts.
  • The Mitigation: The AgentSecrets proxy performs real-time transport-level response scanning. If an upstream service reflects a key back in its payload, the proxy automatically redacts the value ([REDACTED_BY_AGENTSECRETS]) before passing the sanitized response back to the agent, ensuring plaintext secrets never enter the agent's memory or long-term vector databases.
Was this helpful?
Thanks for your feedback!
Your feedback helps us improve the platform.