Not with regex. Not with generic rules. With data-flow analysis, taint tracking, and AI that understands context — AquilaX delivers the sharpest signal-to-noise ratio in AppSec.
If your team receives 1,000 security alerts per week, the choice of tool determines whether you're doing real security work — or drowning in noise.
710–910 alerts are false positives per 1,000
20–80 hours of manual triage per week
$50K–$200K/year in wasted engineering time
Developer trust in security tooling erodes — real threats get ignored
Only ~65 false positives remain per 1,000 alerts
Minutes of focused review, not days of triage
Engineers spend time fixing real vulnerabilities
Every alert is trustworthy — teams act on findings immediately
AquilaX doesn't guess. It traces actual code execution to determine whether a finding is genuinely exploitable in your specific codebase.
Traces actual execution paths through your code — not theoretical pattern matches. If untrusted data can't reach a sink, it's not flagged. No regex, no guessing.
Securitron AI understands whether a flagged pattern is actually exploitable in your codebase given your framework, sanitization logic, and access controls.
Every triage decision your team makes refines the model. False positive patterns your team dismisses are learned and suppressed automatically on future scans.
AquilaX's 93.54% elimination rate is independently measurable and industry-leading.
Try AquilaX free and experience what genuine signal feels like — no triage marathons, no alert fatigue.
Try AquilaX FreeDisclaimer: The comparisons against third-party products on this page are made by the AquilaX engineering team and represent an independent view of AquilaX's capabilities based on publicly available information, product documentation, and industry benchmarks at the time of writing. Competitor products evolve over time and their capabilities may differ from what is described here. You should conduct your own research and evaluation before making any purchasing decision.