Seceon aiSIEM unifies telemetry across logs, identities, networks, endpoints, clouds and applications, applying 360° inference, AI/ML, behavioral analysis and threat intelligence to detect, prioritize and respond to threats in real time. Every event is normalized into one Seceon Event Format (SEF) at ingestion and correlated before it reaches an analyst.
Correlate events, traffic, packets, identities and behavioral patterns.
Use behavioral baselining, profiling and dynamic threat models to identify anomalies.
Enrich detections in-stream with intelligence from 100+ commercial, government, ISAC and dark-web sources.
Accelerate remediation with incident triaging, playbooks and real-time response.
Can your SOC turn every security signal into a prioritized response?
Where traditional SIEMs take days to detect a breach, Seceon aiSIEM detects threats in minutes, cutting MTTD by 95%.
Seceon aiSIEM automates threat response, cutting SOC costs by up to 50% versus legacy SIEM.
Complete visibility across logs, flows, identity, endpoints, cloud and OT through 3,000+ connectors in 13 security domains.
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 and automated alerts remove 93.9% of false alarms in production.
aiSIEM scales to 5M+ events per second and installs in about 5 hours.
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. Logs and flows run through dedicated streaming pipelines and are normalized into one Seceon Event Format (SEF) before analysis.
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 through 3,000+ connectors across 13 security domains - Linux/Windows servers, Active Directory, firewalls, WAFs, endpoints and cloud platforms - into one unified behavioral analytics portal. Pre- and post-NAT tuples are stitched and X-Forwarded-For headers extracted, so the real client is always visible.
aiSIEM correlates NetFlow, user, and entity data to build behavioral baselines. Alerts are prioritized by severity and business impact. Multi-stage threat models chain network, identity, endpoint and cloud activity into one incident per attack, so a password-spraying campaign raises one incident, not thousands of alerts.
aiSIEM is designed to handle large volumes of data and scales to 5M+ events per second. It supports on-premises, cloud, hybrid and air-gapped deployment.
Using advanced AI and ML, aiSIEM continuously learns what “normal” looks like in your environment. It detects deviations in real time and reduces false positives. Every event is tagged with its MITRE ATT&CK v20.0 technique.
aiSIEM provides full-spectrum network visibility by ingesting both NetFlow data and traditional log sources.
Fewer alerts to chase, audits that prepare themselves, and a clear view of where your detection coverage stands.
AI-driven analytics and machine learning slash false positives, so analysts work on real risks. At an MSSP partner running 209 customer environments, false alarms fell 93.9% in 15 days and daily triage dropped from 6,447 alerts to 393.
PCI DSS, HIPAA, NIST and GDPR compliance evidence is included out of the box, saving weeks of audit preparation.
Real-time detection and automated remediation strengthen your defenses, and the MITRE heatmap shows ATT&CK techniques with no detection coverage, so teams close the most valuable gaps first.
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%.
Installs in about 5 hours from OVA, AMI or VHD virtual appliances, with full functionality within 2 weeks.
Priced per monitored asset, with no per-GB, per-EPS or per-alert fees, so heavy-traffic networks don't pay more.
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 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 all 14 Enterprise tactics and 295 techniques of MITRE ATT&CK v20.0, 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. In production at an MSSP partner running 209 customer environments, false alarms fell 93.9% over 15 days and daily triage dropped from 6,447 alerts to 393.
aiSIEM sustains ingestion of over 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 OpenSearch 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, Google Cloud and Oracle Cloud Infrastructure through agentless 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 draws on 100+ threat intelligence sources, including CISA, FBI InfraGard, and Recorded Future, matching indicators in-stream as events arrive and sweeping historical data retrospectively when new indicators appear. It connects natively with aiSOAR 4.0 for automated response actions in under 90 seconds once a threat is confirmed.
Yes. aiSIEM works next to an existing SIEM without a rip-and-replace. The collector forwards a real-time copy of incoming syslog to the existing SIEM or an archive while processing it, and REST APIs and webhooks sync adjudicated incidents back, so downstream queues receive far fewer alerts.
Multi-tactic alerts are compared with built-in adversary profiles such as Volt Typhoon, Scattered Spider and LockBit to suggest the probable actor. Indicators from CERT-In and NCIIPC are ingested within 5 minutes of publication.
