Built for Teams Who Can't Afford a Missed Detection

Write, test, and deploy detection rules at the speed of modern threats, with confidence in every alert.

100%
Stress-tested rules
99.9%
Rule accuracy
10x
Faster deployment

Build Rules Smarter.
Ship Them Faster.

RuleHawk key features are designed to help you build better detection rules, ship them with confidence, and maintain them at scale — so you can stop threats faster and stay ahead of adversaries.

AI Orchestration

Every stage of detection rule development is powered by AI expertise — with a human-in-the-loop approach that keeps your team in control of every decision.

Audited Rule Lifecycle

Every rule change is tracked, owned, and reviewed — with full version history so nothing ships without accountability.

Metrics-Driven Validation

A live dashboard surfaces team activity, rule health, and bypass risks — so you always know what's working and what needs attention.

Consistent Rule Quality

Consistent Rule Quality

Every rule passes two phases of stress-testing before it ships — guaranteeing consistent, production-grade quality across your entire detection library.

Always-On Attack Simulation

Attack simulation continuously validates both active pipeline rules and the full rule library — so nothing goes stale and every detection stays proven.

The workflow that brings confidence

Stage 01

Rule Copilot Development

AI and engineers co-write KQL detection rules in real-time.

Stage 02

Static Verification

Automated checks validate rule syntax, logic, and schema compliance.

Stage 03

Adversary Emulation

Rules are stress-tested against simulated attack scenarios.

Stage 04

Feedback Loop & Rule Modernization

Results feed back into the rule to refine accuracy and coverage.

Stage 05

Rule Ready for Deployment

Validated rules are packaged and pushed to production platforms.

Different needs. RuleHawk covers them all.

Detection Engineers

One place for the entire detection lifecycle.

Every stage built in. No context switching, no handoff gaps — just rules that ship fast and ship right.

SOC Analysts

Only the alerts that matter.

RuleHawk tightens rule precision through continuous validation, reducing false positive rates without sacrificing coverage. Your team spends time on real threats, not noise triage.

Threat Hunters

Hunt queries that are proven to catch real threats.

Most hunt queries are written in a vacuum — they look correct but have never been tested against real attack behavior. RuleHawk validates every query against adversary emulation runs before it ships.

Security Leadership

Coverage, gaps, and velocity — no status meeting required.

RuleHawk gives leadership the picture they need — coverage growing, bypasses being addressed, rules shipping — without pulling engineers into status meetings. The data surfaces naturally from the work already being done. Confidence comes from the system, not from oversight.

Every rule. Every signal. One dashboard.

Track detection coverage, rule health, and bypass attempts across your entire detection library in real time.

RuleHawk — Detection Dashboard
Active Rules258+12% vs last quarter
MITRE Coverage78%+5.2% vs last quarter
Bypasses Found3+1 vs last quarter
Avg. Deploy Time30 min−18% vs last quarter

Detection Rules & MITRE Coverage

Last 7 months

Total RulesMITRE Coverage %

Rule Queue

Pending & in progress

5 rules
In Progress

Detect lateral movement via PsExec over SMB

In Review

[BYPASS] Privilege escalation — token impersonation

In Review

Suspicious scheduled task creation via schtasks

Pending

Defense evasion — timestomping detection

Pending

Exfil over DNS — high-entropy subdomain burst

24/7 Bypass Search

RuleHawk never stops looking. Autonomous agents continuously probe your detection rules against the latest evasion techniques — closing gaps before attackers can exploit them.

New Technique Identification

Continuously ingests threat intelligence and maps emerging TTPs against your current rule coverage.

Bypass Confirmation

Simulates attack variants against live rules to confirm whether a technique evades detection.

Rule Adjustment

The Detection Engineering AI agent proposes and validates a patch in an isolated test environment.

Update Request Created

An update request is pushed to your pipeline for human review and rule modification.

From the founders

RuleHawk uses software-engineering best practices to ensure that all detection rules meet high-quality standards and would work during the real incident.

RuleHawk transforms detection hope into detection confidence.

Coming Soon

Available Autumn 2026

RuleHawk is in active development.

RuleHawk