Database Risk & Compliance
Integrate with any database to implement universal policies and speed time to value.
Cybersecurity needs 24x7x365 vigilance and constant adaptation to keep pace with threats. Organizations focusing on indicators of compromise (IoC) from the perimeter, network, and endpoint may be blind to malicious activity at the end of the attack chain—data access. To be resilient, companies need to protect the data itself.
Imperva monitors over 60 database software versions, on-premise and cloud.
An industry pioneer; activity monitoring, data user behavior analytics, and more.
Relentless focus on actionable facts; breach categorization, data type and more.
Tycoon, REvil, application-level attacks, and supply chain compromise are threats that share a common goal - data. Monitoring raw data activity can overload even the most mature IT security or incident response teams.
Alert volume is a constant challenge for incident responders. Security teams need useful insight that complements threat detection pipelines and trims workflows.
Teams need to be measuring activity they can act upon. Organizations often struggle to understand risk posture using existing data sources.
Organizations use too many security tools, some not integrated nor maintained, which slows response times by increasing manual work, introducing errors.
Native audit tools push the burden of discovery and classification downstream, where important insights can be lost due to lack of database-specific fidelity and volume.
Respond to modern threats efficiently using a minimal set of tools, optimized for the environment. Layering contextual insight into the threat detection pipeline facilitates discovery, classification, detection, and response.
Inject meaningful threat intelligence into layered defense models. Without context, teams make decisions with vague information, or are delayed while they augment manually.
Reduce the number of security tools to those with force multiplier capabilities. Fewer intelligence sources and meaningful insight reduce complexity and increase resilience.
Increase visibility to malicious data activity, lower false positives, and reduce remediation time by adding insight into indicators of attack (IoA) at the data level.
Integrate with any database to implement universal policies and speed time to value.
Automate detection of non-compliant, risky, or malicious data access behavior.
Security and compliance for Amazon RDS, Amazon Redshift or Azure SQL Server database environments.