Our managed SIEM and SOC already provide mature detection, alerting and analysis across cloud, on-premises and hybrid environments. SAIINT uses targeted AI to review analyst triage decisions, find misclassified events and improve the accuracy of your security monitoring.
years testing for government and enterprise
CREST-accredited through CREST ANZ
Human triage can vary with workload, experience and alert volume. SAIINT adds a systematic, consistent and independent layer of quality assurance.
The result is faster detection of genuine threats, fewer false negatives and stronger confidence in the security outcomes we deliver.
SAIINT (Secure AI-Integrated Notable Triage) is our AI-driven quality-review engine, running behind the scenes in our managed SOC. It reviews how our analysts classify security alerts, checks the reasoning against your policies and good practice, and highlights alerts that need further investigation.
SAIINT is a dotSec-developed enhancement, unique to our managed SOC and SIEM service.
reviewing triage decisions for accuracy and completeness
detecting genuine threats that may have been dismissed
highlighting patterns that suggest rule tuning
giving consistent recommendations at any alert volume
It also creates a feedback loop that improves analyst performance, giving managed SOC clients better quality, reliability and transparency.
Automatically, when you use our managed SOC and SIEM services. You do not need to run or manage SAIINT; it is part of our internal processes, and it improves the accuracy and consistency of every triage decision we make for you.
SAIINT is especially useful where you:
SAIINT runs as a continuous, automated quality-assurance workflow in our security operations platform. Enrichment, context and correlation are already done by Splunk ES and our managed SIEM processes, so SAIINT reviews analyst decisions rather than reprocessing raw log data.
Identifies alerts that need review, based on recent triage decisions.
Applies AI analysis to the analyst’s reasoning, supporting evidence and justification.
Compares decisions with policy and expected good-practice response patterns.
Rates each outcome as appropriate, questionable or potentially incorrect.
Surfaces findings to senior engineers for validation, follow-up and training.
Tracks trends over time, identifying recurring issues and rules that need tuning.
SAIINT improves our managed SOC service in six ways.
Identifies alerts that may have been dismissed incorrectly, reducing false negatives.
Potentially misclassified alerts go to senior engineers for rapid follow-up.
Recurring triage mistakes and rule issues drive targeted analyst development and SIEM tuning.
The same scrutiny regardless of alert volume, workload or staffing.
More accurate triage data means higher-quality reporting and clearer insight.
Where audits or assurance reviews need evidence of triage quality, SAIINT provides a documented, repeatable review process.
SAIINT is not a bolt-on or an optional extra. It is part of how we deliver a more accurate, reliable and evidence-driven managed SOC service.
An extra layer of assurance for clients, without added cost or complexity.
AI review supports analyst judgement rather than replacing it.
Skilled engineers interpret and act on every AI finding.
A multi-client architecture keeps each client’s alert data isolated while sharing the AI platform.
SAIINT results feed into training, rule improvements and daily operations.
Secure AI-Integrated Notable Triage: our AI-driven quality-review engine inside our managed SOC. It reviews how analysts classify security alerts, checks the reasoning against policy and good practice, and highlights alerts that need further investigation.
No. SAIINT runs as part of our internal processes, so you benefit automatically when you use our managed SOC and SIEM services. There is nothing to install, operate or manage.
No. It reinforces analyst judgement rather than replacing it. Findings go to senior engineers for validation, and skilled people interpret and act on every result.
No. Our multi-client architecture keeps each client’s alert data isolated, while every client benefits from the shared AI review platform.
If you would like to see how our SAIINT-enhanced managed SOC can improve your security monitoring, we are happy to walk you through real examples.
A stronger SOC does not need more dashboards or more headcount. It needs better decisions, and SAIINT helps us make them.
