Threat Detection & SOC Automation Platform

Unified Threat Detection & SOC Automation

Threatstealth unified threat detection correlates signals across WAF, EDR, network monitoring, and identity — eliminating silos and giving SOC analysts MITRE ATT&CK-aligned context on every alert within seconds.

• Cross-signal correlation — WAF, EDR, IAM, NDR, and SIEM events correlated into unified incidents
• MITRE ATT&CK alignment — every alert mapped to tactic, technique, and sub-technique for structured triage
• Sub-second pivot — navigate from alert to raw logs, affected assets, and related indicators in one click
• SOAR-ready playbooks — automated enrichment and response actions triggered on detection rules
• Alert deduplication — suppress noise by grouping related signals into single high-fidelity incidents
• Multi-tenant SOC view — triage alerts across all client organisations from a single analyst console

Cross-Signal Correlation: Breaking Down Security Silos

Traditional SOC operations suffer from signal silos — WAF logs in one console, EDR alerts in another, identity events in a third, and network monitoring in a fourth. An analyst investigating an alert in one tool must manually context-switch to three other tools to get the full picture, taking 20–40 minutes to build what should be an immediately visible incident timeline. Threatstealth's unified detection engine ingests events from all security modules — WAF, EDR, IAM, network monitoring, and the vulnerability management queue — and correlates them by asset, user identity, IP address, and time window into unified incidents that present all relevant signals in a single view.

• WAF-EDR correlation — linking inbound web attacks to endpoint execution events on the targeted server
• IAM-EDR correlation — connecting identity anomalies to endpoint behavioural alerts for the same user
• Asset-centric timeline — all security events affecting a specific host presented in chronological unified view
• User-centric timeline — all security events associated with a specific user identity across all signal sources
• IP-based correlation — grouping events sharing source or destination IP addresses into related incident clusters

MITRE ATT&CK Alignment and Structured Triage Context

Every alert generated by the Threatstealth detection engine is mapped to MITRE ATT&CK at the tactic, technique, and sub-technique level. This mapping provides analysts with immediate structured context for triage — knowing that an alert maps to T1055 (Process Injection) under the Defense Evasion and Privilege Escalation tactics immediately focuses the analyst's investigation on the relevant question: which process is injecting into which target process, and why? ATT&CK alignment also enables coverage gap analysis — comparing the technique-level coverage of current detection rules against the full ATT&CK matrix to identify blind spots that threat actors could exploit undetected.

• Technique-level mapping — every alert tagged with ATT&CK tactic, technique ID, and sub-technique where applicable
• Triage context panel — inline ATT&CK technique description and typical actor usage shown alongside each alert
• Coverage gap analysis — ATT&CK matrix heatmap showing which techniques have detection coverage versus blind spots
• MITRE-aligned incident reports — incident reports structured around ATT&CK tactic sequence for external communication
• Detection rule ATT&CK tagging — all custom and built-in detection rules tagged with ATT&CK coverage metadata

SOAR-Ready Playbooks and Alert Automation

Security automation reduces analyst toil on repetitive, low-judgment investigation tasks — freeing analyst time for complex investigations that require human reasoning. Threatstealth includes a library of pre-built response playbooks that automate the most common investigation and response steps for each alert category: IP enrichment from threat intelligence feeds, user account review from the IAM module, asset risk scoring from the vulnerability management queue, and automated containment actions (IP block, account lock, host isolation) for high-confidence detections. Playbooks are triggered automatically on matching detection rules and can be reviewed in the alert timeline alongside manual analyst actions.

• IP enrichment automation — automatic threat intelligence lookup for every source IP in an alert
• User context automation — IAM module query retrieving user risk score and recent access events on alert creation
• Asset risk context — vulnerability queue integration showing open findings for alerted assets
• Automated containment — high-confidence alert triggers for account lock, IP block, and host isolation
• Playbook audit trail — every automated action logged with triggering alert, execution timestamp, and outcome

Alert Deduplication and Noise Reduction for High-Volume SOCs

Alert volume is the primary operational challenge for security teams — when hundreds of alerts per day arrive, analysts develop alert fatigue and miss genuinely important signals buried in noise. Threatstealth's alert deduplication engine groups related alerts into unified incidents using correlation rules that identify when multiple alerts share common indicators, timing, and causal relationships. A single lateral movement campaign generating alerts across 15 endpoints produces one investigation-ready incident rather than 15 separate alerts. Alert suppression rules further reduce noise by identifying known-good activity patterns that repeatedly generate false positives and suppressing future occurrences after analyst review and approval.

• Related alert grouping — clustering alerts sharing common assets, users, IPs, or causal relationships into incidents
• False-positive suppression — analyst-reviewed suppression rules silencing known-good activity patterns
• Alert volume trending — monitoring alert volume by rule and source to identify runaway detection rules
• Noise ratio reporting — tracking the percentage of alerts that are suppressed, deduplicated, or closed without action
• Alert quality scoring — per-detection-rule metrics for precision and analyst action rate to guide tuning priorities