Platform-Level Security for AI Agents

Security mechanisms protect your connected accounts, local files, and runtime actions, while external skills pass layered review before activation.

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Protected

Connected Accounts Access

GmailGoogle Mail
Google CalendarGoogle Calendar
XX Account
FacebookFacebook Account
Local Files access runs inside protected runtime boundaries

External Skill Verification

scanning
1. Signature verification completed
2. Sandbox execution passed safely
3. Policy and permission review approved

01

THIRD-PARTY AUTH

Each integration token is scoped to minimal privileges with automatic drift detection and controlled revocation, keeping account access bounded and auditable.

  • Minimum-privilege scope enforcement
  • Scope drift detection and alerts
  • Encrypted token vault
  • Per-agent permission matrix

Scoped Access Constellation

Connected platforms stay inside strict permission boundaries.

Scoped Vault

Scoped account tokensBounded permissionsRevocable access

02

SKILL VERIFICATION

External skills are statically analyzed, sandboxed, and behavior-checked before production use, with risky packages isolated automatically.

  • Static analysis on install
  • Sandboxed verification runs
  • Runtime anomaly monitoring
  • Automatic quarantine workflows

Multi-Layer Skill Screening

Skill packages flow through verification checkpoints before activation.

Static Check
Sandbox Run
Runtime Gate
Install-time checksBehavioral reviewAuto quarantine

03

SECRETS MANAGEMENT

Agents receive short-lived scoped tokens instead of raw credentials, while secret access remains encrypted, bounded, and fully traceable.

  • Hardware-backed secret vault
  • Scoped temporary token injection
  • Secret leak scanning in outputs
  • Full access audit logs

Tokenized Secret Access

Secrets stay locked while scoped tokens flow only where needed.

Secret Vault

Scoped Token

Agent Access

Short-lived tokensEncrypted storageTraceable access

04

RUNTIME ISOLATION

Every agent executes inside strict resource and boundary controls so workloads stay isolated, predictable, and protected from cross-impact.

  • Container-level isolation
  • CPU and memory limits
  • Mediated message bus only
  • Integrity checks and kill switch

Isolated Runtime Pods

Agents run in bounded execution pods with strict resource barriers.

Agent A

Agent B

Agent C

Agent D

Isolated workloadsResource boundariesSafe execution lanes

Trust & Safety Layer

Secure every account connection, skill install, and runtime action

Apply policy boundaries and layered verification so AI teams can operate safely with real business systems and local data.

Start with Trust & Safety Explore Governance