devchilll/scope

What it solves

SCOPE provides a governance framework for enterprise AI agents operating in high-stakes environments (such as banking) where safety, regulatory compliance, and auditability are critical. It prevents agents from performing unauthorized actions, leaking sensitive data, or making high-risk decisions without human oversight.

How it works

Built on Google's Agent Development Kit (ADK), SCOPE uses a "Defense in Depth" architecture consisting of six modular pillars:

1. Safety: Employs fast ML-based checks (e.g., Toxic-BERT) to block malicious inputs before they reach the LLM, alongside LLM-based contextual safety.
2. Compliance: Enforces human-readable business and regulatory rules (e.g., PCI-DSS, HIPAA) that the agent must consult for every decision.
3. IAM: Implements Role-Based Access Control (RBAC) with roles like USER, STAFF, and ADMIN to restrict tool access and data visibility.
4. Escalation: Routes low-confidence decisions or high-value transactions to a human-in-the-loop review queue stored in SQLite.
5. Data: Provides an IAM-protected database layer for secure operations on sensitive records.
6. Logging: Generates structured audit trails and compliance-specific logs for regulatory reporting.

Who it’s for

Developers and enterprises building mission-critical AI agents for regulated industries like financial services, healthcare, and legal services.

Highlights

• Pre-LLM Guardrails: Reduces costs and latency by blocking unsafe content in ~50ms before calling the LLM.
• Decision Logic: Categorizes agent actions into APPROVE, REJECT, REWRITE, or ESCALATE.
• Regulatory Templates: Includes pre-defined compliance rules for healthcare, finance, and legal sectors.
• Full Observability: Integrated tracing via ADK Web UI and a dedicated terminal-based log viewer for real-time auditing.