AI-native platform improves detection quality to cut alert noise, eliminates detection blind spots, and maximizing SIEM ROI through continuous optimization
At RSA Conference 2026, AiStrike today announced the launch of Continuous Detection Engineering, a groundbreaking capability that transforms how security operations teams manage detections – shifting from reactive alert triage to proactive, intelligence-driven detection optimization.
The Detection Quality Gap
Security teams today are overwhelmed by alerts, but the root cause is not volume – it’s detection quality. AiStrike’s analysis across enterprise environments revealed that:
- More than 80% of alerts lead to dead ends
- Fewer than 20% of detection rules ever trigger alerts
- Under 5% of rules generate most of the alert noise
- Over 70% of detection gaps can be addressed using existing data in SIEM
- More than 50% of SIEM data is never used for detection
These inefficiencies lead to alert fatigue, detection blind spots, higher SOC costs, and underused SIEM investments.
AiStrike addresses this challenge by introducing a continuous, closed-loop model for detection engineering.
A New Model for Security Operations
AiStrike’s Continuous Detection Engineering replaces static detection management with a continuously improving system aligned to real-world threats. Inspired by software engineering practices, AiStrike brings detections-as-code, automated validation, and feedback-driven optimization into a closed-loop detection model.
Key capabilities include:
- Detection Coverage & Gap Analysis: Maps detection coverage against frameworks like MITRE ATT&CK and real-world threat intelligence to identify coverage gaps and auto-generate detections to close them
- Intelligent Noise Reduction: Continuously optimizes high-volume, low-value detections to reduce false positives without sacrificing visibility
- Detection Validation & Readiness: Ensures every detection is functional, relevant, and actionable, eliminating inactive or misconfigured rules before incidents occur
- Data & SIEM Efficiency Optimization: Identifies high-impact telemetry to improve coverage while reducing ingestion and storage costs
By integrating feedback from real investigations and incident outcomes, AiStrike ensures detection logic continuously evolves alongside each organization’s environment and threat landscape.
From Reactive SOC to Continuous Improvement
“Security teams don’t have an alert problem – they have a detection engineering problem,” said Nitin Agale, Founder and CEO of AiStrike. “Most organizations are operating with noisy, misaligned, or incomplete detections. We built AiStrike to continuously improve detection quality, reduce noise, and align security operations to real threats – without requiring teams to rip and replace their existing stack.”
“AiStrike reduced our alert noise by over 90%, but more importantly, it gave us clear visibility into which detections are actually effective,” said Robert Vaile, CISO, SUBSCRIBE. “Instead of chasing alerts, we’re now continuously improving our coverage against real threats.”
Built for the Modern Security Stack
Many organizations struggle to stand up a dedicated detection engineering team or modernize workflows around Git, CI/CD, and data engineering. AiStrike delivers these best practices as a product capability, enabling customers to achieve mature detection engineering outcomes without restructuring their SecOps organization.
AiStrike integrates with existing SIEM, XDR, and cloud security platforms, enabling organizations to improve outcomes without replacing existing tools. CISOs gain greater confidence that their SIEM and XDR investments are tuned to their actual risk, while SOC leaders see improved time-to-detect and time-to-contain without adding headcount.
The result:
- Up to 90% reduction in alert noise
- Improved detection coverage aligned to real threats
- Lower SOC and SIEM costs
- Faster, more effective investigation cycles
Availability
Continuous Detection Engineering is available immediately as part of the AiStrike platform. AiStrike will showcase the capability at RSA Conference 2026, Booth S-3109.