Multi-cloud complexity strains security teams, who must contend with rampant alert noise and organizational silos. Critical threats in GCP stem from misconfigurations—like overly permissive IAM or firewall rules—and attackers abusing cloud APIs (e.g., VM snapshot creation) for lateral movement. Logs fail to capture east-west details, while threats like malware and C2 hide in encrypted TLS 1.3 traffic. The lack of deep visibility slows investigation and response.

RevealX delivers the critical, real-time network truth for both performance and security. We decode 90+ protocols and perform line-rate decryption of TLS 1.3/PFS, exposing threats and resolving application and general performance issues hidden in encrypted GCP and hybrid traffic without sacrificing speed. Cloud-scale ML uses behavioral analysis to preemptively detect security threats and application issues other tools miss. And AI-optimized workflows optimize NDR, NPM, and forensics, automating investigation and response across all domains.