Empirical Security tech stack

Empirical Security builds mostly with SQL, Python, Ruby. Its stack also includes Qualys Cloud Platform, AWS, MySQL, PostgreSQL. SQL is named in 4 of the 6 job postings Empirical Security published in the last 12 months (67%). Counted by Alion from the job postings of Empirical Security, updated Oct 14, 2026.

Source: Alion Coverage: the company's job postings of the last 12 months Oct 14, 2026
Technologies in use
19
Postings analysed
6
Open now
6
Modernity
73 /100
New in 6 months
2

What programming languages does Empirical Security use?

SQL is named in 67% of job postings at Empirical Security, followed by Python (67%), Ruby (17%).

SQL 4 67% required in 75% · 4 open now · since Jan 2026
Python 4 67% required in 50% · 4 open now · since Jan 2026
Ruby 1 17% optional · 1 open now · since Oct 2026

What frameworks and libraries does Empirical Security use?

Ruby on Rails is named in 17% of job postings at Empirical Security.

Ruby on Rails 1 17% optional · 1 open now · since Oct 2026

What databases does Empirical Security use?

MySQL is named in 17% of job postings at Empirical Security, followed by PostgreSQL (17%).

MySQL 1 17% optional · 1 open now · since Oct 2026
PostgreSQL 1 17% optional · 1 open now · since Oct 2026

What cloud and platforms does Empirical Security use?

Qualys Cloud Platform is named in 33% of job postings at Empirical Security, followed by AWS (17%), Azure (17%), GCP (17%).

Qualys Cloud Platform 2 33% required in 50% · 2 open now · since Jul 2026
AWS 1 17% required in 100% · 1 open now · since Oct 2026
Azure 1 17% required in 100% · 1 open now · since Oct 2026
GCP 1 17% required in 100% · 1 open now · since Oct 2026
Wiz 1 17% optional · 1 open now · since Jul 2026

What developer tools does Empirical Security use?

Git is named in 17% of job postings at Empirical Security.

Git 1 17% optional · 1 open now · since Jan 2026

Which engineering practices does Empirical Security ask for?

Machine Learning is named in 33% of job postings at Empirical Security, followed by CI/CD (17%), ETL/ELT (17%), Fine-tuning (17%).

Machine Learning 2 33% required in 100% · 2 open now · since Aug 2026
CI/CD 1 17% required in 100% · 1 open now · since Oct 2026
ETL/ELT 1 17% required in 100% · 1 open now · since Oct 2026
Fine-tuning 1 17% required in 100% · 1 open now · since Oct 2026
Red Teaming 1 17% required in 100% · 1 open now · since Jul 2026
IAM 1 17% optional · 1 open now · since Jan 2026
SLI/SLO/SLA 1 17% optional · 1 open now · since Jan 2026

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How is the Empirical Security stack changing?

Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.

First appeared
Machine LearningAug 2026
Qualys Cloud PlatformJul 2026

How modern is the Empirical Security stack?

Modern 73/100

Empirical Security scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How common is the Empirical Security stack in its industry?

Share of the 2,215 companies in the same industries, whose stack Alion knows, that use each technology.

Python60%
SQL37%
Qualys Cloud Platform1%
AWS44%
Azure34%
GCP31%
MySQL10%
PostgreSQL29%
Ruby5%
Ruby on Rails1%

Questions about the Empirical Security tech stack

What programming languages does Empirical Security use?

The languages named in Empirical Security job postings are SQL (67%), Python (67%), Ruby (17%), as a share of the 6 postings of the last 12 months.

Does Empirical Security use Qualys Cloud Platform?

Yes. Qualys Cloud Platform is named in 2 of 6 job postings (33%) and required in 1 of them.

What cloud and platforms does Empirical Security use?

The cloud and platforms named in Empirical Security job postings are Qualys Cloud Platform (2), AWS (1), Azure (1) (postings in brackets).

Is the Empirical Security tech stack changing?

Yes. Machine Learning, Qualys Cloud Platform first appeared in Empirical Security job postings in the last six months.

How modern is the Empirical Security tech stack?

Empirical Security scores 73 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 0; legacy ones: 0.

How does Alion know the Empirical Security tech stack?

Alion reads every job posting Empirical Security publishes and tags the technologies each one names. The figures on this page count the 6 postings of the last 12 months and were updated on Oct 14, 2026.

Method and citation

Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count

Alion, "Empirical Security tech stack: 19 technologies from 6 job postings", as of Oct 14, 2026. https://alion.io/company/empiricalsecurity/technologies

Licence: CC BY-SA 4.0JSON