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Detection Engineering

Detection rules built for your environment, not everyone's.

Custom detection logic, AI-assisted tuning, and full MITRE ATT&CK coverage mapping for your unique stack.

0+
Detection rules included
pre-built and ready on day one
<0 min
New rule deployment
from idea to live detection
0%
MITRE ATT&CK mapped
full coverage visibility always
>0%
FP reduction
via AI-assisted environment tuning
The Problem

The Detection Debt Cycle

Generic rules, coverage gaps, and slow deployment lock every SOC into a loop that never breaks on its own.

MEAN TIME TO DETECT
months
not minutes
01

Generic rules flood your SOC with noise

Analysts spend hours tuning suppressions and chasing false positives instead of investigating real threats.

02

Coverage gaps go unnoticed for months

Blind spots across credential access, lateral movement, and defense evasion sit open.

03

New rules take weeks to deploy

Write, test, validate, review, deploy. By the time it's live, the threat has moved.

CYCLE REPEATS
How It Works

From rule gap to live detection in minutes

Decanos AEP handles every stage, from importing your existing rules to deploying new coverage in production.

SIGMA RULE · YAML
title: LSASS Access
category: process_access
01

Import Existing Rules

ATT&CK COVERAGE
12 techniques mapped
02

Map ATT&CK Coverage

GAP ANALYSIS6 GAPS
03

Identify Priority Gaps

DESCRIBE THE THREAT
Alert when process reads LSASS memory...
rule lsass_mem_read {
  process: lsass.exe
04

Build Custom Rules

SANDBOX VALIDATION
Detection accuracy
99.2%
False positive rate
0.1%
Sandbox coverage
847 events
Performance impact
High CPU
05

Test in Sandbox

LIVEjust now
lsass_mem_read
Production · CRITICAL
1,248
rules active
84%
ATT&CK
06

Deploy and Monitor

AI-generated rule logic

  • Describe any threat in plain language
  • Decanos AEP generates production-ready detection logic automatically
  • ATT&CK mapping and severity assigned without manual tagging
  • Likely false-positive sources flagged before deployment

Continuous environment learning

  • Every suppression trains a per-environment model
  • Overly broad rules are narrowed automatically
  • New noise patterns surfaced within hours
  • No quarterly retuning cycles or tribal knowledge required

Description to production in under 30 min

  • Import, map, generate, test, and deploy in one platform
  • No change tickets or team handoffs
  • Sandbox validation runs against full historical data
  • One-click promotion to production
Core Capabilities

Build, tune, and manage detections at scale

Rule Builder
Detect lateral movement via WMI remote execution...
rule wmi_lateral_movement {
  process: wmiprvse.exe
  network: remote_host
}
T1047 Windows Management Instrumentation

Custom Rule Builder

Detection logic tailored to your stack, not everyone's.

Describe threat behavior in natural language and Decanos AEP generates detection logic tailored to your environment.

ATT&CK Coverage Heatmap
0001
0002
0003
0004
0005
0006
0007
0008
0009
0010
0011
Covered
Partial
Gap
84%
Covered
9%
Partial
7%
Gaps

MITRE ATT&CK Mapping

Know exactly what you can and cannot detect.

Live coverage heatmap across ATT&CK tactics and techniques, with gap prioritization weighted by your threat profile.

AI Tuning Results
847
alerts/day before
→
31
alerts/day after
Svchost high CPU (scheduled task)Auto-suppressed
Antivirus scan process spawnAuto-suppressed
DNS lookup burst (backup job)Auto-suppressed

AI-Assisted Tuning

Reduce false positives without sacrificing coverage.

Learns your environment's baseline to suppress noise while preserving coverage for genuine threats.

Rule Lifecycle Management
Draft
›
Review
›
Test
›
Staging
›
Production
v1.2.3current
v1.2.22 versions ago
v1.2.13 versions ago

Rule Lifecycle Management

Every rule reviewed, versioned, and production-safe.

Version control, testing sandbox, staged rollout, and full audit trail for every rule.

Why Decanos AEP

How Decanos AEP compares

Detection engineering the way it should work, not the way legacy tools force it to.

Rule customization
Decanos AEP
Natural language to live rule
Manual Process
Individual engineer effort
Commercial SIEM
Vendor rules, limited tuning
ATT&CK coverage visibility
Decanos AEP
Real-time coverage heatmap
Manual Process
Manual gap analysis
Commercial SIEM
Partial, tag-based
False positive rate
Decanos AEP
Under 5% after AI tuning
Manual Process
46% industry average
Commercial SIEM
30-60% rule-dependent
Deployment speed
Decanos AEP
Under 30 minutes
Manual Process
Days to weeks cycle
Commercial SIEM
Change control gated
Environment adaptation
Decanos AEP
AI learns your baseline continuously
Manual Process
Manual tuning, tribal knowledge
Commercial SIEM
Static rules, retuning quarterly
Rule testing
Decanos AEP
Full historical data sandbox
Manual Process
Against live traffic only
Commercial SIEM
Limited sandbox options

Find out exactly which attacks you can't detect

Detection Engineering | Decanos Platform | Decanos