Technical summary: This detected rule uses Splunk Secure Application alerts to identify real-time exploitation attempts targeting business web applications. It covers injection (SQL, API abuse), deserialization flaws, remote code execution (RCE), LOG4J, and zero-day style attacks. The rule analyzes application-layer events and correlates them with vulnerability signatures to produce risk-based alerts for SOC workflows. It computes a risk_score (via kennaScore) and assigns a severity label (critical/high/medium/low) based on risk, exploit status, and signature. It deduplicates by gid to avoid duplicate alerts and constructs a descriptive rule_description for analysts. It handles multi-attack-type scenarios with a generic multi-attack message, and for specific signatures (API/LOG4J/SSRF, SQL, DESERIALIZATION, RCE) creates targeted narratives including the attacker IP, affected app, server host, and potential data exfiltration. The detection aids in validating whether an attack was merely attempted or successfully exploited and supports SOC decision-making by providing actionable context, attacker tactics, and remediation guidance (patching vulnerable apps, enforcing controls). References and drilldowns enable investigators to view current results and historical risk trends. This rule is asset-domain oriented toward Web Application security and feeds into threat analytics, incident response, and vulnerability management workflows.