Security Vision SIEM Tackles Alert Overload with Data Quality Monitoring and MITRE ATT&CK Coverage

In November 2013, a FireEye system costing 1.6 million dollars performed exactly as promised. It detected malware on Target point-of-sale terminals, generated multiple consecutive alerts, and even revealed intermediate servers receiving stolen data. The Bangalore shift noticed the signal and escalated it to Minneapolis, yet nothing further happened.

One month later the company disclosed the theft of 40 million payment cards and personal data of another 70 million people, with direct costs exceeding 200 million dollars. The automatic malware removal function had been manually disabled. Technology worked; process did not.

Since then much has changed, except the core issue. According to Vectra AI data for 2026, organizations receive an average of 2,992 alerts per day, and 63 percent of them remain uninvestigated. The Microsoft and Omdia SOC report adds further detail: 46 percent of alerts prove false positives. In the SANS 2025 survey, 73 percent of teams named false positives the primary detection problem. Analysts simultaneously juggle an average of 10.9 consoles.

Collecting logs is inexpensive and straightforward. Turning those logs into a managed process that reveals data quality, detection quality, and the full incident path is considerably harder.

What Security Vision SIEM Can Do

The product, built on the Russian Security Vision 5 Low-Code/No-Code platform, combines event collection and normalization, data quality control, attack detection, investigation, and basic response actions. Customers receive not an empty box with a promise to configure it themselves, but ready SOC expertise: more than 1,200 correlation rules, coverage of over 70 percent of MITRE ATT&CK techniques, mapping to FSTEC BDU threat implementation methods, and incident handling recommendations.

The July 2026 update introduced monitoring of collection stability and rule performance, SOC analyst SLA control, statistical anomaly detection, rule testing, Sigma rule exchange, and retrospective process chain reconstruction inside incidents.

Three Levels Where Everything Can Break

SIEM effectiveness rests on data completeness, detection quality, and response speed. Failure at any level nullifies the other two.

• Level one: The SOC must be confident that required events actually arrive. Agents stop, administrators change logging settings for unrelated reasons, or hosts behind WEC or syslog aggregators silently drop out while the aggregator reports healthy status.
• Level two: Detection rules must reflect real attack scenarios, infrastructure specifics, and temporal event relationships. Simple signatures rarely catch multi-stage attacks when events from different sources arrive delayed and interleaved.
• Level three: Detection is only the start. Analysts must assess asset criticality, examine processes, accounts, network connections, lateral movement, confirm the incident, and act. Each manual tool switch adds minutes that accumulate into the 200 million dollar losses seen at Target.

Security Vision SIEM unites the entire chain: connect sources, verify data quality, detect suspicious activity, reconstruct attack context, and move to response.