Imperva monitors over 60 database software versions, on-premise and cloud.
15-year data security leader
An industry pioneer; activity monitoring, data user behavior analytics, and more.
Relentless focus on actionable facts; breach categorization, data type and more.
Advanced attacks are more common
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.
SOC teams need insight, not more raw events
Alert volume is a constant challenge for incident responders. Security teams need useful insight that complements threat detection pipelines and trims workflows.
A lack of relevant metrics
Teams need to be measuring activity they can act upon. Organizations often struggle to understand risk posture using existing data sources.
Too many security toolsets
Organizations use too many security tools, some not integrated nor maintained, which slows response times by increasing manual work, introducing errors.
A reliance on native audit capabilities
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.
Reduce time to action and increase team effectiveness
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.
Automate data discovery and classification
Build actionable intelligence
Inject meaningful threat intelligence into layered defense models. Without context, teams make decisions with vague information, or are delayed while they augment manually.
Increase resilience through consolidation
Reduce the number of security tools to those with force multiplier capabilities. Fewer intelligence sources and meaningful insight reduce complexity and increase resilience.
Expand scope to include indicators of attack
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.
Contain malicious data activities and boost workflows
Force multiplier for the team
Reduce the number of low volume security tickets and amplify effectiveness.
Add clarity, not ambiguity
Use actionable insight to improve security posture and inform business leaders.
Data-centric security tooling, tuned for your workloads, with broad interoperability.
How Imperva can Help You Prevent Malicious Activities
Database Risk & Compliance
Integrate with any database to implement universal policies and speed time to value.
Data User Behavior Analytics
Automate detection of non-compliant, risky, or malicious data access behavior.
Cloud Data Security
Security and compliance for Amazon RDS, Amazon Redshift or Azure SQL Server database environments.