Multi-tenant isolation, granular RBAC, two-factor authentication, KMS encryption, and algorithm IP protection — built as architecture, not afterthought.
Most AI sales tools were built for individual users and retrofit enterprise features as an afterthought. Shared API keys. No data isolation between customers. No audit trails. No granular permissions. No compliance controls.
Your sensitive sales data — prospect lists, competitive intelligence, pricing strategies, deal negotiations — is flowing through systems that weren't designed to protect it. One prompt injection, one misconfigured permission, one shared API key, and your competitive advantage walks out the door.
You can't bolt security onto a platform that was designed without it. Multi-tenant isolation has to be in the data layer. Permissions have to be in every API call. Encryption has to wrap every credential. IP protection has to be in every AI response.
Quantum MCP was built from day one as a multi-tenant enterprise platform. Every table is org-scoped. Every API validates permissions. Every credential is isolated. Every AI agent protects its algorithms. Not because we added security later — because we couldn't have built it any other way.
JWT tokens, 2FA OTP, PBKDF2-SHA256 password hashing (100k iterations), temp token flow for MFA
permission_checker.py in 33 Lambdas — granular, agent-level, and page-level RBAC with fail-open design
org_resolver.py scopes every DynamoDB query by organizationId — cross-tenant access is architecturally impossible
resourceIsolation map with 4 boolean flags — AI keys, tool keys, voice credentials, and MCP connections independently controlled
AWS KMS for BYOK API keys, SHA-256 for OTP codes, PBKDF2 for passwords — nothing stored in plaintext
AEGIS directive in all 36 agent system prompts — refuses to reveal algorithm formulas, weights, or source code
Deploy AI sales agents with confidence — knowing your data, credentials, and IP are protected at every layer.
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