#RSAC26CISO SafeSpace at RSAC26
Detection Engineering

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

AI-assisted rule creation, tuning, and ATT&CK coverage mapping for your unique stack.

Thoughtspot
Coupang
Sands
Venetian
Supported by security leaders at 20+ enterprises across Europe and North America
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

sigma rule · yaml
title: LSASS Memory Access
logsource:
  category: process_access
detection:
  TargetImage: lsass.exe
  GrantedAccess: 0x1010
01

Import Existing Rules

ATT&CK Coverage
1
2
3
4
5
6
7
12 techniques mapped
02

Map ATT&CK Coverage

Gap Analysis
6 GAPS
1
2
3
4
5
6
7
03

Identify Priority Gaps

describe the threat
Alert when process reads LSASS memory...
rule lsass_mem_read {
  process: lsass.exe
  access: 0x1010
}
04

Build Custom Rules

Sandbox Validation
Detection accuracy99.2%
False positive rate0.1%
Sandbox coverage847 events
Performance impactHigh CPU
05

Test in Sandbox

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

Deploy and Monitor

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 Alaris generates detection logic tailored to your environment.

ATT&CK Coverage Heatmap
TA0001
TA0002
TA0003
TA0004
TA0005
TA0006
TA0007
TA0008
TA0009
TA0010
TA0011
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.

Find out which attacks you can't detect today.

Import your rule library and get an instant MITRE ATT&CK coverage map.

Map My Coverage Gaps
Why Alaris

How Alaris compares

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

Find out exactly which attacks you can't detect