Multi-client delivery

MSSPs & Security Firms

Managing security for multiple clients. Efficiency and consistency determine profitability.

The Problem

Each client uses different tools. Reporting is manual. Evidence collection scales linearly with clients.

Key challenges

Tool sprawl per client

Different clients use different scanners. Output formats vary.

Reporting overhead

Manual report creation consumes analyst time that could be billable.

Scaling challenges

Adding clients means adding headcount. The model does not compound.

The Solution

Multi-tenant architecture with consistent workflows. One platform for all clients. White-label reporting. Evidence collection that scales.

Repeatable delivery model across clients

Client-ready reporting without manual work

Multi-tenant workflows and access control

Evidence collection that does not scale with headcount

The Platform

Detection

Normalizes findings from any scanner into the shared graph.

Hardening

Creates and applies remediation with captured proof.

Offense

Validates whether findings are actually exploitable.

Governance

Maps outcomes to frameworks and generates evidence.

Oversight

Surfaces identity risk from directory services and code repos.

Classification

Catalogues data assets and applies sensitivity labels.

AI-Security

Protects AI/LLM workloads from prompt injection to supply chain.

Reasons over the security graph. Emulates threat actors, validates attack paths, predicts emerging risk.

Next industry

Red Teams