Wazuh Meets UAIO: Closing the SIEM Loop with Automated Remediation

Wazuh is a powerful open-source SIEM and XDR platform. It ingests logs, correlates events, and surfaces threats with accuracy. But detection alone doesn’t stop breaches. Security teams still spend hours manually triaging, investigating, and remediating alerts—time attackers use to move laterally. The gap between detection and response remains the weakest link in most SOCs.

iTechSmart’s Unified Autonomous IT Operations (UAIO) platform closes that loop. By embedding UAIO’s autonomous remediation engine directly into Wazuh’s alert pipeline, we transform passive detection into active defense. When Wazuh triggers a high-fidelity alert—whether it’s a suspicious process spawn, unauthorized registry change, or beaconing to a known C2 domain—UAIO doesn’t just notify. It acts.

In production across 131 containerized environments, UAIO executes pre-validated, policy-driven remediation actions within 20 seconds of alert generation. These actions include isolating endpoints, killing malicious processes, rolling back unauthorized changes, and enforcing network quarantines—all without human intervention. The system relies on ProofLink cryptographic receipts to generate an immutable audit trail for every action taken, satisfying compliance requirements for NIST 800-53, ISO 27001, and SOC 2.

The results are measurable. In a six-month pilot with a Fortune 500 financial services client, UAIO reduced mean time to respond (MTTR) from 2.4 hours to 20 seconds on 96% of Wazuh-generated alerts—aligning with NIST’s benchmark for effective incident response. False positives were handled via UAIO’s contextual validation layer, which cross-references asset criticality, user behavior baselines, and threat intelligence feeds before initiating remediation, reducing unnecessary interventions by 74%.

UAIO doesn’t replace Wazuh’s detection engine. It extends it. The integration uses Wazuh’s native active response framework and API to ingest alerts in real time, then applies UAIO’s autonomous decision engine—trained on 18 months of production telemetry from SDVOSB-certified operations—to determine the optimal, least-privilege response. Each action is logged, signed via ProofLink, and pushed to your SIEM, SOAR, or GRC system for full visibility.

For MSPs and enterprise SOCs alike, this isn’t theoretical. It’s running today in environments managing over 2 million endpoints across healthcare, defense, and critical infrastructure. The F6S ranking—iTechSmart ranked #6 of 2 million+ AI startups—reflects not just innovation, but proven operational impact at scale.

Stop treating your SIEM as a notification system. Start treating it as the trigger for autonomous defense.

[Learn how UAIO closes the SIEM loop → itechsmart.dev/pulse]