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Privileged access management
for AI agents.

Control what agents can do on behalf of each user. Enforce policy, keep credentials private, and audit every action.

gnt_7x92k
Incoming Request
A
sales-agent
agent: ai_agent
GET api.github.com/user/repos
Policy Evaluation
✓Identity verified
✓Scope check: repo:read
✓Rate limit: 847 / 1,000
✓Token refreshed (3m ago)
Authorization Result
APPROVED
Injected Headers
Authorization: Bearer ghp_••••••••k4m2
X-Alter-Grant: gnt_7x92k
Audit Log
action: token.proxy
agent: sales-agent
target: github.com
status: 200 OK
latency: 142ms
GoogleZoomSlackGitHubSalesforceHubSpotLinearNotionDropboxDiscordStripeFigmaAsanaAirtable
140 integrations
In-path enforcement
SOC 2 in progress

Give agents their own keys, not yours.

Without Alter

.envOPENAI_API_KEYsystem-prompt.mdSLACK_BOT_TOKENci-config.yamlSTRIPE_SECRET_KEY

Keys scattered everywhere

Pasted into prompts, configs, and .env files across every repo.

admin-key-prodused by: all 14 agents

One key does everything

Every agent borrows the same over-scoped credential.

Who refunded that charge?No results found.

No answers afterward

Nobody can say which agent did what, or on whose behalf.

With Alter

vault: 3 credentialsinjected per request

One vault

Stored once and injected per request, so proxied calls keep it out of your code.

billing-agent · refunds:writeneeds approval

Least privilege per agent

Each agent gets its own identity and scopes, with a human gate where you want one.

Who refunded that charge?billing-agent, for finance-ops, 14:03, approved by J. Lee

Every action on the record

A tamper-evident trail with a name attached to every call.

Building agents

Pass your customers' security review

  • Per-agent identity and scoped grants instead of one shared key
  • Policy and human approval a customer's security team can inspect
  • An audit trail you can hand to a reviewer, streamed to their SIEM
The security review, answered

Securing agents

PAM controls for a new kind of privileged user

  • See every call an agent makes through Alter: which agent, whose access, which policy, who approved
  • Default-deny policy down to the parameter, and approval for risky calls
  • Revoke an agent, key or grant instantly; IdP webhooks cascade offboarding
PAM for AI agents
How it works

Alter authenticates, authorizes, and logs every request

One SDK call handles storage, refresh, policy, and audit for 140 providers. First-class LangChain, MCP, and AWS integrations.

Agent reads calendar with authorized scope
scheduling-agent→GETgoogleapis.com/calendar/v3/events
EVALUATING…
END USERS
Authorize via Connect
OAuth consent
YOUR INTEGRATIONS
MCP ServersAI AgentsChatbotsApps
SDK request
Alter Vault
Connect
Vault
Policy
Audit
Token + API call
EXTERNAL SERVICES
GoogleGoogle
SlackSlack
GitHubGitHub
SalesforceSalesforce
NotionNotion
LinearLinear
OAuth + API keys
Event Log
1User authorized Google Calendar via Connect widget
2Scheduling agent requests calendar access via SDK
3Identity verified · Policy: scope=calendar.readonly · APPROVED
4Token decrypted · GET googleapis.com/calendar/v3 · 200 OK
5Logged: scheduling-agent → calendar.readonly → APPROVED

How the platform itself is secured

  • Credentials live in a dedicated secret store, encrypted at rest, with keys managed outside the application database
  • Fail-closed authorization: if a policy cannot be evaluated, the request is denied
  • Zero-trust ownership: a key confers no capability without an explicit record naming it
  • Postgres holds metadata and vault references; provider tokens and credentials live only in the vault
  • Per-key isolation, plaintext credentials never in logs, and proxy-only keys that cannot retrieve a credential at all
Compliance & audit

Controls monitored continuously

SOC 2 in progress

Our trust center publishes the live state of our security program: monitored controls, an independent penetration test within the last 12 months, and security policy documents on request.

Visit the trust center (opens in a new tab)

Put your agents under privileged access control.

Book a 30-minute walkthrough with the founders.

Necessary

Required for sign-in, security, authorization, and remembering your choices.

Always active

Analytics

Helps us understand which product and documentation features are useful.

Performance diagnostics

Uses performance tracing and privacy-masked session replay to diagnose problems.

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