Fast growing enterprise cloud adoption has resulted in a vastly evolving threat landscape, increased attack surfaces, faster cycles, and sophisticated attacks owing to AI/LLM agents. Scaling security teams with limited capabilities to automate and remediate quickly are clearly unable to keep up with increased sophistication, accuracy, and pace of attacks.

Zetafence(TM) provides a holistic platform for cloud security risk analysis by identifying attack path vulnerabilities, threats, and policy weaknesses. Zetafence achieves this by deploying behavioral contextualization engines through identity and access control discovery, by continuously monitoring activities and by building relationships between computing and data resources that enables uncovering of hidden security risks.

Zetafence employs powerful graph algorithms that discover dependencies with enriched metadata to detect suspicious connections and identify potential pivoting attempts by attackers moving across environments.

Zetafence enables enterprises to protect hidden risks by following means.

  • By providing Behavioral Contexts to cloud Security risk assessment
  • Through Remediation Platform to automatically remediation certain weakness, and vulnerabilities