Security Across the Modern Attack Surface
Extend security beyond SIEM and endpoint detection with integrated protection for identity, email, network, OT, cloud, AI and autonomous SOC operations.
IBM QRadar is a mature, rule-driven SIEM. But modern SOCs need more than log correlation: identity, AI governance, email, cloud, and OT, analyzed together by AI in real time. That's where Seceon's expanding platform pulls ahead.
IBM QRadar built its reputation as an enterprise-grade SIEM, strong at log management and correlation, and has expanded into security operations through separate products spanning SOAR, XDR, and UBA.
Seceon took the opposite approach: OTM was built natively on one AI/ML architecture combining SIEM, XDR, SOAR, UEBA, NDR, threat intelligence, and OT/IoT security, now expanding into ITDR, AI governance, and email security.
For teams that want one open, correlated view of their environment without being routed through a single vendor's roadmap, that architecture is the whole difference.
Compare Seceon and IBM QRadar capability by capability. Click each category to see how architectures, deployment models, AI, and coverage differ.
| Capability | Seceon | IBM QRadar |
|---|---|---|
| Platform architecture | One AI/ML Based architecture: SIEM + SOAR + UEBA + NDR + XDR, expanding into ITDR. | SIEM-centric core; SOAR, XDR and UBA as separate products. |
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Why it matters: a single data model means one place to tune detections instead of stitching signals across products. |
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| Visibility scope | Logs, network, identity, cloud, OT/IoT, AI agents and email. | Mature log coverage; packet inspection and OT visibility require add-ons. |
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Why it matters: shadow AI, identity abuse and OT anomalies surface right alongside logs, not in separate tools. |
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| Capability | Seceon | IBM QRadar |
|---|---|---|
| Network detection (NDR) | Native NDR, NBAD and NTA, all included. | Flow analytics native; deep packet inspection needs QRadar Network Insights. |
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Why it matters: lateral movement and exfiltration are often invisible in logs alone. |
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| SOAR / automation | Native aiSOAR with automated containment, no separate license. | Automation delivered via QRadar SOAR, a separately licensed, standalone IBM product. |
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Why it matters: playbooks act on the same data behind the detection, no integration project. |
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| UEBA | Built-in behavioral analytics across users and entities. | QRadar UBA app available; depth depends on tuning. |
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Why it matters: insider threats and compromised accounts get flagged early, without manual rule tuning. |
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| Capability | Seceon | IBM QRadar |
|---|---|---|
| Deployment model | On-prem, hybrid, cloud or air-gapped; typically detecting threats within days. | On-prem appliances or VMs; SaaS customers now migrate to Palo Alto's Cortex XSIAM. |
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Why it matters: sovereign, air-gapped environments stay covered, no forced migration. |
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| Pricing structure | Per-asset pricing with SIEM, SOAR, UEBA, NDR and TI included. | EPS-based licensing; costs climb with growing log volume and separately licensed add-ons. |
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Why it matters: budgets stay predictable as data volumes grow, with no EPS surprises. |
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| Capability | Seceon | IBM QRadar |
|---|---|---|
| AI-driven detection | The Awareness Engine applies ML/AI models across all ingested data continuously to build dynamic threat models. | IBM AI features assist investigation and triage; core detection still relies on analyst-maintained correlation rules. |
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Why it matters: behavioral baselining catches novel attacks that no one has written a rule for. |
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| Threat intelligence | TI360 threat feeds are built in and auto-correlated against detections, no separate license. | IBM X-Force delivers well-regarded research; broader feeds typically integrate via App Exchange apps. |
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Why it matters: intel that's already wired into detection logic gets used on every alert, not just the ones analysts remember to cross-check. |
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| Alert noise reduction | Correlating across logs, network, identity and cloud in one engine collapses related events into fewer, higher-confidence alerts. | Offense grouping reduces duplicates; overall noise levels depend heavily on ongoing rule tuning and maintenance. |
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Why it matters: lean SOC teams investigate threats instead of maintaining rules and triaging noise. |
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| Capability | Seceon | IBM QRadar |
|---|---|---|
| Compliance reporting | aiCompliance CMX360 automates continuous evidence and reporting across 40+ frameworks, generated straight from unified platform data. | Compliance content packs and reports are available; broader GRC workflows typically need separate tooling. |
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Why it matters: audit season is less painful when the reports are a built-in feature, not a project. |
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| MSSP / multi-tenant support | Native multi-tier multi-tenancy lets MSSPs run many isolated client environments from one console. | Domain-based multi-tenancy is supported and used by MSSPs; multi-tier hierarchies are more complex to manage at scale. |
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Why it matters: MSSPs can add ITDR, email and compliance services per tenant without deploying new platforms. |
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SIEM, XDR, NDR, SOAR, UEBA, identity protection and AI security run on one AI/ML-driven platform, so your team works from one data set, one console and one response workflow.
Extend security beyond SIEM and endpoint detection with integrated protection for identity, email, network, OT, cloud, AI and autonomous SOC operations.
SERA AutoSOC investigates, validates and responds to incidents on its own, carrying routine cases from triage to verdict to containment and escalating only what needs an analyst.
Run many customer environments from one platform with tenant isolation, per-customer policies and reporting, and centralized detection, investigation and automated response.
Ingest telemetry from firewalls, endpoints, cloud, identity and OT through APIs, collectors and syslog. Keep the tools you have invested in and correlate them in one place.
A cloud-native architecture that scales horizontally, deployable on-premises, in the cloud, hybrid or air-gapped, with detection value from the first days of onboarding rather than months of tuning.
Detect network threats, lateral movement and anomalous activity while extending visibility into industrial environments.
TI360 combines broad intelligence sources and IOC context with security telemetry to improve detection and investigation.
Extend the same security telemetry into compliance, AI governance, risk and security performance workflows.
aiTRiSM360 monitors AI usage, detects risks, and enforces governance across users, endpoints, and applications.
UIDGuard360 unifies identity visibility, risk scoring and threat detection across hybrid and multi-cloud environments.
aiSecurity Email360 detects phishing, BEC, malicious links and suspicious email activity while identifying high-risk users.
Questions from teams evaluating Seceon against IBM QRadar.
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