What is Seceon aiSIEM and how is it different from a traditional SIEM?

Seceon aiSIEM is an AI native Security Information and Event Management platform that combines machine learning driven threat detection with a unified analytics engine processing over 1.5 million events per second. Unlike legacy, rule based SIEMs that require analysts to write and continuously maintain correlation rules, aiSIEM deploys Dynamic Threat Models (DTM) that self adjust to an organization's behavior from day one, delivering a 95% reduction in false positives without manual tuning.

What are Dynamic Threat Models and how do they replace manual SIEM rule writing?

Dynamic Threat Models (DTM) are self adjusting AI and machine learning models that adapt to an organization's normal behavior starting from the very first data received, so they are effective from day one without a manual tuning period. aiSIEM includes over 4,000 pre trained models covering the full MITRE ATT&CK framework, replacing the ongoing burden of analysts writing and maintaining static correlation rules by hand.

How does aiSIEM achieve a 95% reduction in false positives?

aiSIEM performs multi dimensional correlation across logs, network, identity, cloud, and endpoint data simultaneously, rather than evaluating each source in isolation. Behavioral context enrichment reduces alert noise without losing detection fidelity, and every alert is prioritized using a composite risk score, so analysts see fewer, higher confidence alerts instead of a high volume, low signal alert stream.

How much log data can aiSIEM ingest, and how long is it retained?

aiSIEM sustains ingestion of over 1.5 million events per second, scaling to 2.4 trillion events per day across the full Seceon OTM platform. Logs are retained for up to 7 years in a WORM compliant, tamper proof chain of custody, with Elasticsearch backed sub second search across the entire retention window, supported by up to 80% lossless compression at ingestion.

Does aiSIEM include built in cloud security monitoring?

Yes. aiSIEM-CGuard extends aiSIEM's detection intelligence natively into AWS, Azure, and GCP through direct API integration, covering misconfiguration detection via CloudTrail, Azure Defender, and GCP Security Command Center, along with real time cloud threat detection for Lambda abuse, bucket exfiltration, and cross account anomalies, all within the same console and correlation engine as on premises detection.

How fast does aiSIEM detect and help respond to threats?

aiSIEM achieves a mean time to detect (MTTD) of under 5 minutes, compared to an industry average of roughly 197 days to detect a breach. It integrates with over 70 real time threat intelligence feeds, including sources such as CISA, FBI InfraGard, and Recorded Future, and connects natively with aiSOAR 4.0 for automated response actions in under 90 seconds once a threat is confirmed.

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