Security Information and Event Management (SIEM)

                    Challenge

Solution

Cyber threats involve multiple events occurring across different systems that are difficult for SIEMs to correlate and detect in time.

Ververica's event-driven architecture supports complex event processing, including pattern recognition and detecting multi-step attacks (like lateral movement and data exfiltration) in the moment.

Traditional SIEMs rely on batch processing and search-based architectures, which cause delays in threat detection. 

Process security logs at creation to enable immediate detection of anomalies, potential intrusions, and policy violations. 

Ververica enables real-time ingestion and processing of data regardless of original source, location, format, or variety.

Without incredibly fast data, security teams struggle to mitigate threats before damage occurs.

Achieve millisecond speed with triggers and automatic response built-in with Ververica. 

Unpredictable data spikes compound the challenges of responding during attacks or major incidents.

Ververica scales dynamically to handle high-throughput security telemetry from firewalls, IDS/IPS, authentication logs, and other sources, automatically and cost-effectively.

Traditional SIEMs store huge amounts of log data, making queries expensive and time consuming. 

Ververica supports stateful streaming computations that reduce storage overhead, processing only the data essential for the task.

SIEM configuration, tuning, deployment, and maintenance is operationally demanding and complex.

Ease operational complexity to get the most value from your SIEM systems with Ververica. Access a clear UX, single-pane-of-glass dashboard, with automation and response built-in. 

While SIEMs benefit from advanced ML libraries to detect sophisticated attacks and anomalies, (like insider threats and Zero day exploits) they can be difficult to deploy and operationalize. 

Ververica seamlessly integrates with ML frameworks (including TensorFlow, PyTouch, or custom models) to build applications which enable sophisticated real-time anomaly detection and response. 

SIEM solutions must adhere to strict performance mandates, including SLAs (Service Level Agreements), SLOs (Service Level Objectives), and KPIs (Key Performance Indicators) related to threat detection and response times. 

Ververica helps organizations meet the most stringent compliance requirements, including a comprehensive security suite that supports GDPR, SOC 2, and PCI DSS compliance initiatives.

Businesses relying on static, rule-based detection cannot detect new and emerging patterns as these systems are unable to deploy or operate modern, dynamic ML-driven detection.

With Ververica, confidently integrate ML applications with existing infrastructures, while complementing rule-based detection and improving outcome accuracy.