SENIQ Agent by Noventiq
NOVENTIQ에 의해
SENIQ automates WAF alert triage in Security Copilot to reduce false positives efficiently.
In a digital-first economy, web platforms are primary revenue drivers and constant targets. High-volume WAF alerts create a bottleneck: analysts spend time on repetitive, low-effort noise, response times increase, and real threats can hide in the backlog. Over-tuning to reduce noise can also generate false positives that block legitimate users, harming customer experience and revenue. Alert fatigue turns security from a business enabler into a reactive cost centre.
The SENIQ WAF Triage Agent helps Security Operations Center (SOC) teams streamline the investigation of Microsoft Sentinel WAF alerts by reducing alert fatigue, accelerating triage processes, and improving consistency in security decision-making. The agent automatically analyses WAF telemetry collected in Microsoft Sentinel and provides contextual recommendations to help analysts prioritize suspicious activity, identify potential false positives, and determine appropriate follow-up actions. By correlating multiple telemetry signals and predefined analytics, the solution enables security teams to focus on high-risk events while minimizing time spent on repetitive manual investigations. The SENIQ WAF Triage Agent is designed to support analyst workflows and SOAR integrations without directly modifying firewall configurations or production security policies.
Disclaimer: This offer provides alert triage, classification, and investigation enablement only. Automated blocking/remediation depends on the customer’s SOAR playbooks.
Key benefits:
• Reduced alert fatigue and false positives
• Less manual effort through autonomous, multi-stage Sentinel querying
• High-accuracy classification via MAD/IQR and R^5 modelling
• Financial protection with Denial of Wallet (DoW) token-estimation circuit breakers
• Native fit with Microsoft Security and Compliance ecosystem
• Measurable, SOAR-ready JSON outputs
What we deliver:
Autonomous data lake querying
• Extracts WAF events from Microsoft Sentinel
• Gathers context across timeframes and IP vectors
• Removes manual KQL drafting for Tier-1 analystsAdvanced anomaly detection pipeline
• Executes MAD/IQR modelling
• Applies Population Veto Logic for cardinality-based false positive identification
• Uses weighted Euclidean distance to surface scanner profilesClassification & confidence scoring
• Filters and correlates signals
• Categorises events (Benign, Scanner, Script-Kiddie)
• Generates SOAR-ready JSON to trigger incident workflowsSafe & cost-optimised operations
• Validates token usage/query weight pre-execution
• Circuit breakers prevent runaway querying (DoW)
• Salted parameter hash resolution to protect privacy
Deployment model & requirements:
• Delivered as a deployable solution via the Microsoft Security Store
• Installs into the customer’s Microsoft Security Copilot tenant
• Requires SecurityReader plus Sentinel.Read / LogAnalytics.Read
• Designed to complement existing Microsoft Defender and Sentinel workflows
Agent tasks: Automated validation and enrichment of investigation inputs, intelligent analysis of WAF activity using predefined Microsoft Sentinel analytics, detection of suspicious scanning or reconnaissance behavior, identification of potential false positives and low-risk activity, correlation of multiple security signals, generation of consistent and human-readable triage reports with actionable recommendations, SOAR integration
Agent workflow:
- Input: Microsoft Sentinel WAF alerts, WAF telemetry signals, predefined analytics data, investigation inputs
- Output: Contextual recommendations, prioritized security events, false-positive identification reports, human-readable triage reports with actionable recommendations