Enables secure interaction with Salesforce orgs through LLMs, providing tools for managing orgs, querying data, deploying metadata, running tests, and performing code analysis. Features granular access control and uses encrypted auth files to avoid exposing secrets in plain text.
Enables security analysis of Kubernetes Role configurations using LLM-assisted prompt chaining and rule-based assessment. Provides comprehensive security scoring, hardened role generation, and runtime permission usage correlation to identify privilege escalation risks and over-permissive configurations.
A local, privacy-first knowledge graph for Salesforce orgs. It live-syncs your org to a SQLite + vector index on your machine and exposes 26 MCP tools to Cursor, Claude Code/Desktop, and VS Code, so the AI you already use can reason about Apex, LWC, Flow, Vlocity, OmniStudio, security, and integrations without your code or schema ever leaving your laptop.
Enables auditors to scan cloud IAM policies for privilege-escalation paths, wildcards, and risky grants directly within Cursor or Claude Code, using a deterministic rule engine that runs entirely on local infrastructure.
A local-first AWS security tool that uses graph theory to discover attack paths (e.g., Internet → Role → DB) and prioritize remediations. It allows agents to perform read-only security audits and generate Terraform fixes without data exfiltration.