
AI systems, LLM‑powered workflows, and autonomous agents are now embedded across every layer of the enterprise. But traditional security tools were never designed to monitor how AI behaves, enforce policy at machine speed, or quantify the financial impact of AI‑driven risk.
SigmaSRC solves this problem with a unified platform that brings continuous visibility, autonomous enforcement, regulatory alignment, and real‑time financial risk modeling to every digital asset — across any OS, any environment, any industry.
SigmaSRC's proprietary AI‑powered Policy Engine is the core of the platform. It continuously monitors how AI is used across your environment, including system‑to‑LLM interactions, agentic workflows, and automated decision chains.
SigmaSRC Agents run natively on Windows, macOS or different Linux systems. These agents observe and evaluate hundreds of technical controls, including:
When a violation occurs, SigmaSRC can:
Autonomous enforcement — always with a human in the loop.
SigmaSRC automatically maps every monitored and enforced control to the world’s leading AI and cybersecurity frameworks:
This gives organizations:
SigmaSRC treats compliance as a living system, not a static checklist and unifies it with real security enforcement.
SigmaSRC calculates Value at Risk (VaR) for every digital asset, identity, application, and AI workflow. This includes:
Executives get a clear, defensible answer to the question:
“If this asset is compromised, what is the financial impact?”
This transforms security from a cost center into a measurable, strategic business function.
SigmaSRC adapts to the complexity, scale, and regulatory needs of:
Whether you manage 50 endpoints or 50,000, SigmaSRC delivers:
All from a single, AI‑native platform.
SigmaSRC is not a legacy security tool retrofitted for AI. It is a ground‑up, AI‑native platform designed for a world where:
SigmaSRC ensures every AI action is governed, every control is enforced, and every risk is quantified.
