Key Differentiators

How Radiant compares to other AI SOC platforms and legacy SIEM solutions across alert coverage, response, and log management.

Radiant is built on a different premise than the tools most security teams rely on today. Legacy SIEM tools generate alerts and stop there. Most AI SOC platforms cover a fixed set of pre-trained scenarios. Radiant triages every alert across your connected sources: known threats, unknown threats, and everything in between, and produces a verdict for each one.

This page compares Radiant against two categories of tools across three dimensions: alert coverage, response, and log management.

Radiant versus other AI SOC platforms

Most AI SOC platforms are trained on a fixed set of common alert scenarios. Outside those scenarios, they cannot investigate, and alerts either go unprocessed or fall back to analysts. Radiant takes a different architectural approach: rather than matching alerts to pre-built templates, the triage pipeline dynamically generates a plan for every alert, including alert types it has never seen before.

Capability	Other AI SOC platforms	Radiant
Alert coverage	Limited to 6–8 common pre-trained scenarios.	Triages alerts from all connected sources.
Novel threats	Require retraining; cannot handle unknown attack patterns.	Generates a new plan for any alert type, including ones not seen before.
Platform consolidation	Separate tools for triage, response, and log management.	Unified platform for triage, response, and log management.
Response actions	Manual workflows across multiple tools.	Single-click and fully automated response actions built into the platform.
Pricing model	Usage-based pricing produces unpredictable costs.	Priced by security use case for predictable, transparent billing.
Log storage cost	Logs stored on the vendor's infrastructure with vendor-set pricing.	Customers store logs in their own AWS S3 bucket and pay AWS directly, with no storage markup from Radiant.

Radiant versus traditional SIEM solutions

Legacy SIEMs were designed to collect and correlate logs, not to investigate or respond to threats. They surface alerts through rule-based correlation and hand those alerts to analysts for manual triage. As environments grow, volume-based pricing forces teams to restrict data ingestion to control costs, which creates coverage gaps. The result is a platform that produces alert noise, constrains visibility, and requires additional tooling to finish workflows it was never built to complete.

Capability	Legacy SIEM solutions	Radiant
Alert triage	Manual triage of rule-based correlations that require ongoing tuning.	Triages alerts automatically and produces a verdict with full investigative context.
Data storage and retention	Per-GB ingestion fees force data sampling and short retention windows.	Customers store logs in their own AWS S3 bucket and pay AWS directly, with no storage markup from Radiant. See Bring your own bucket for Log Management.
Response actions	Alert generation only. Response requires separate tools and manual workflows.	Single-click and fully automated response actions built into the platform.
Adaptation to new threats	Static rules require manual updates for new threat patterns.	Generates new plans dynamically without retraining or rule updates.
Security outcomes	High false-positive rates and missed threats despite significant investment.	Resolves benign alerts automatically and surfaces likely-malicious alerts to analysts, reducing mean time to respond (MTTR).

To learn how the triage pipeline produces a verdict for each alert, see the Triage pipeline stages.