Gain complete visibility across every asset, user, and flow by AI-driven detection and response.
Traditional SIEMs Fall Short
Legacy SIEMs are slow, complex, and miss critical threats, leaving blind spots across the network and endpoints.
Teams drown in 500+ daily alerts with 40% false positive rates.
High deployment complexity and slow scaling across hundreds of devices.
Heavy reliance on manual rules and skilled analysts slows response and remediation.
AI-Powered Real-Time Defense
Real-time AI/ML-driven detection with full coverage of NetFlow, logs, servers, endpoints, and cloud assets.
Intelligent filtering, policy tracking, automated alerts, cutting noise by 90%.
aiSIEM scales across 400+ assets within hours, not weeks .
Automated threat correlation, behavior-based threat models, and actionable remediation.
From real-time monitoring to automated mitigation, a unified platform for faster, smarter defense.
aiSIEM ingests and analyzes NetFlow and event data the instant it arrives - no storage delays, no indexing wait, ensuring threats are detected as they occur.
AI-driven remediation recommendations replace manual analyst work, generating actionable responses automatically. Continuous learning algorithms adapt in real time to evolving threats.
aiSIEM collates events and netflow from 900+ devices and systems - Linux/Windows servers, Active Directory, firewalls, WAFs, endpoints and cloud platforms - into one unified behavioral analytics portal.
aiSIEM correlates NetFlow, user, and entity data to build behavioral baselines. Alerts are prioritized by severity and business impact.
aiSIEM is designed to handle large volumes of data and can scale from tens to hundreds of devices in months. It supports various deployment models, including on-premises, cloud, and hybrid.
Using advanced AI and ML, aiSIEM continuously learns what “normal” looks like in your environment. It detects deviations in real time, reduces false positives.
aiSIEM provides full-spectrum network visibility by ingesting both NetFlow data and traditional log sources.
AI-driven analytics and machine learning slash false positives, letting security teams concentrate on real risks.
PCI-DSS, HIPAA, NIST, and GDPR compliance included - saves weeks of preparation.
Real-time threat detection and automated remediation boost overall organizational security.
Measurable returns that transform your security posture and business outcomes
Intelligent automation handles routine tasks, freeing your team for strategic initiatives.
aiSIEM replaces siloed tools - SIEM, SOAR, UEBA, NTA, IDS, and more, cutting costs up to 50%.
Ready-to-use configurations deliver immediate protection - see results on day one, not months later.
Costs are calculated per monitored asset, not per flow volume, Reduces expenses for heavy-traffic networks.
Get clear answers about how Seceon aiSIEM uses AI and machine learning to detect threats in real time without manual rule tuning.
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.
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.
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.
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.
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.
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.
