Key challenges
Fragmented visibility across cloud platforms, research systems and third-party partners creates blind spots and prioritisation noise. Security teams detect more issues, but lack the context needed to determine what truly threatens critical R&D environments.
High volume, low-quality alerts
Traditional tools generate floods of findings based on raw CVSS scores or isolated scans, with false positive rates often exceeding 80%.
Resource Drain
SecOps teams waste time chasing noise instead of mitigating critical risks, slowing cloud migrations and increasing exposure.
Lack of Context & Correlation
No unified view across cloud, on-prem, identities, and third-party assets; missing connections to attack paths, threat intel, or business impact.




