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AiStrike today announced the launch of Continuous Detection Engineering at RSA Conference 2026. This new AI-native capability transforms how security operations teams manage detections by shifting from reactive alert triage to proactive, intelligence-driven detection optimization.
“More than 80% of alerts lead to dead ends, while fewer than 5% of rules generate most of the noise. This isn’t an alert problem — it’s a detection engineering problem.”
Security teams are overwhelmed by alerts, but the core issue lies in detection quality rather than volume. AiStrike’s analysis across enterprise environments shows that fewer than 20% of detection rules ever trigger alerts, while over 70% of detection gaps can be addressed with data already present in the SIEM.
AiStrike’s Continuous Detection Engineering replaces static, manual detection management with a continuously improving, closed-loop system inspired by software engineering practices. It brings detections-as-code, automated validation, and feedback-driven optimization directly into security operations.
Detection Coverage & Gap Analysis Maps coverage against MITRE ATT&CK and real-world threat intelligence, then auto-generates detections to close identified gaps.
Intelligent Noise Reduction Continuously optimizes high-volume, low-value detections to reduce false positives while preserving visibility.
Detection Validation & Readiness Ensures every detection is functional, relevant, and actionable by eliminating inactive or misconfigured rules before incidents occur.
Data & SIEM Efficiency Optimization Identifies high-impact telemetry to improve coverage and simultaneously reduce ingestion and storage costs.
By integrating feedback from real investigations and incident outcomes, the platform ensures detection logic evolves in step with each organization’s unique environment and threat landscape.
“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.”
AiStrike delivers mature detection engineering capabilities as a product feature, eliminating the need for organizations to build dedicated detection engineering teams or overhaul workflows around Git and CI/CD. The platform integrates seamlessly with existing SIEM, XDR, and cloud security tools, allowing teams to maximize their current investments without disruption.
Continuous Detection Engineering enables CISOs to gain confidence that their SIEM and XDR platforms are properly tuned to actual risk, while SOC leaders benefit from improved time-to-detect and time-to-contain without increasing headcount.
The solution delivers up to 90% reduction in alert noise, improved detection coverage aligned to real threats, lower SOC and SIEM costs, and faster, more effective investigation cycles.
About AiStrike
AiStrike is an AI-native security operations platform that helps organizations reduce noise, improve detection coverage, and respond to threats faster. By combining AI-driven investigation, threat intelligence, and continuous detection engineering, AiStrike enables security teams to move from reactive operations to proactive, intelligence-driven cyber defense.
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