Detection Engineering

Stop chasing alerts. Start fixing detection quality.

Rules that never fire. Rules that fire on noise. Gaps that stay hidden until an incident. AiStrike fixes all three without rip and replace.

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Works with your existing SIEM, XDR, and cloud stack. No rip-and-replace.

50%+

Reduction in alert noise through detection tuning

+40%

Detection coverage uplift using
existing data

<7 Days

To fix what your detections
are missing

Static rules. Reactive workflows.
The same gaps, month after month.

Most detection libraries quietly fail. Rules that never fire. Rules that generate noise. Gaps that
only show up after an incident.

<20%

Rules ever fire

Most detections never trigger, silently accumulating with no impact.

<5%

Rules generate most alerts

A small number of detections create the majority of noise, hiding real signals.

57%

Breaches found externally

Most incidents aren’t caught by internal detections, exposing critical gaps.

Why Existing Approaches Fall Short

Most tools optimize alerts. Few improve detection quality.

Most tools assume the rules are finished. They focus on processing alerts after they fire, not on continuously rewriting, tuning, or validating detections as your environment and threats evolve. That leaves detection quality drifting while everything else gets optimized.

SIEM

Rules written once, rarely revisited

Libraries don't adapt, don't learn from outcomes, and can't surface what they're missing.

SOAR

Automates response, not quality

SOAR operates after an alert fires.
It doesn't improve the rules that generated it.

MDR

Triages alerts - doesn't fix them

Traditional MDR investigates. The same alerts come back next month because nothing changed.

Most tools help you process alerts faster. AiStrike helps you generate better alerts in the first place.

Most SIEMs detect a fraction of what they should. Teams don't know which fraction.

That’s how attackers walk through gaps no one saw coming. AiStrike continuously checks your detections against MITRE ATT&CK and evolving threat landscape, finds what’s missing, tunes what’s noisy, and ships validated rules ready to deploy against your existing data

Step 1 - Coverage Gaps

Identify and fix coverage gaps.

AiStrike maps your current detection coverage to MITRE ATT&CK, shows you what’s missing, and generates ready‑to‑deploy detections for every gap, scoped to your data sources.

Full coverage map across all MITRE ATT&CK tactics
and techniques.
Gaps prioritized by active threat actor relevance, not just technique count.
New rules generated as validated, tested detections ready to deploy immediately.

Create detection rule.

For every identified gap, AiStrike generates a complete detection rule with detection logic, data source mapping, and MITRE technique tagging — authored by AiStrike, community-rated, and ready to deploy in one click.

Every noisy rule analyzed with root cause not
just flagged.
AI identifies specific offending conditions and recommends targeted fixes.
Updated rules deployed as detection-as-code tested before they go live.

Step 2 - Noise Reduction

Fix the rules causing the noise

AiStrike identifies the small number of detections generating most alerts and pinpoints the exact logic behind the noise, so it can be fixed at the source.

Find the few rules driving most alerts
Pinpoint the exact conditions causing noise
Deploy targeted fixes automatically as detection-as-code

When a noisy rule is identified, AiStrike's AI analyzes the pattern, pinpoints the source of false positives, and recommends a targeted fix in plain language, with the updated rule ready to deploy in one click.

Step 3 - Detection Quality

Assess and improve
detection quality.

AiStrike continuously evaluates every detection rule for logic, data, and output quality. Silent rules that never fire are surfaced and diagnosed so you know whether data is missing, logic is broken, or the rule is misconfigured.

Every rule is graded for efficacy, coverage, and noise
Silent rules are classified as “no data,” “needs tuning,” or “misconfigured,” with next steps.
Community ratings and AiStrike analysis are available for every rule in your library.

THE FULL PICTURE

One grade for every part of detection health.

AiStrike rolls feed quality, detection quality, and MITRE coverage into a single detection engineering grade, giving security leaders a clear, honest view of where they stand.

Overall grade with drill‑downs into feed quality, detection quality, and efficacy.
MITRE coverage grade showing covered vs. missing techniques at a glance.
Threat exposure view: new threats identified vs. those still requiring coverage.