Rilevera is a detection engineering platform designed to continuously validate, improve, and manage security detections across SIEM, EDR, and data platforms. The platform addresses common challenges in detection engineering such as schema drift, missing logs, silent rule failures, and fragmented tooling across security environments. Core capabilities of the platform include: - Continuous Detection Validation: Validates detection logic, telemetry dependencies, and schema integrity across platforms, alerting teams when rules break or data disappears. - AI-Driven Detection Optimization: Analyzes performance data, false positive trends, detection overlap, and logic quality to recommend and push validated improvements back into execution platforms. - Coverage and Gap Analysis: Maps detections and telemetry to MITRE ATT&CK techniques and threat actors to identify blind spots and prioritize new rule development. - Detection Lifecycle Governance: Provides structured workflows for detection design, validation, peer review, and controlled deployment. Rilevera targets three primary user personas: detection engineers who need automated validation and version control for detection rules; SOC managers seeking to reduce alert fatigue and improve signal-to-noise ratios; and CISOs requiring visibility into detection coverage, audit readiness, and executive-level reporting. The platform integrates with tools such as SIEMs (including SumoLogic), EDR platforms (including Cylance), and cloud data sources (including AWS CloudTrail). It positions itself as a unified control layer for detection engineering teams operating across multiple security platforms.