Sola Security, a provider of AI-based contextual intelligence for the cybersecurity industry, is releasing Lumina, an autonomous, actionable risk intelligence platform that investigates cloud, identity, SaaS, and endpoint environments.
According to the company, Lumina applies Sola’s intelligence layer across the entire stack on an ongoing basis, proactively and autonomously transforming thousands of disparate raw data inputs into a curated stream of signals, each enriched with reasoning, business context, potential impact, and recommended actions.
Lumina introduces a new operating model for security teams. Instead of reacting to alerts or manually triaging findings, teams receive a daily feed of fully contextualized signals already prioritized per their business logic and environment, the company said.
The platform identifies attack paths and risk chains. Business context, including asset criticality, data sensitivity, and past decisions are continuously incorporated into every score to help security professionals evaluate priority risks, said the vendor.
Lumina Signals also conducts blast radius mapping to direct engineers toward the highest-damage exposures first, as well as pattern clustering to compress thousands of findings into a smaller set of meaningful signals.
“Security teams don’t lack alerts. They lack an intelligence layer that knows their environment, including risk tolerance, asset prioritization, and history, well enough to tell them which findings actually matter,” said Guy Flechter, CEO and co-founder of Sola Security. “Lumina Signals closes this critical gap by running Sola’s AI across your entire environment, weighing each finding against your own, pre-determined business context and turning an overwhelming volume of raw data into a ranked, pre-investigated feed. This way, engineers can make decisions instead of starting investigations from scratch.”
Built on Sola’s intelligence layer, Lumina Signals connects cloud, identity, SaaS, and endpoint systems into a single asset graph, allowing risk to be evaluated in full business context rather than in isolation. Risk scores can adjust dynamically based on what an asset is, who uses it, and how it connects across the environment—helping teams surface high-impact exposures while filtering out noise.
For more information about this news, visit https://sola.security.