DataStealth
LLM & Generative AI · Natural Language Processing
3open roles
50+team · employees, estimated range
44stories in the press
2018founded
Overview
DataStealth is the data security layer for enterprise AI: tokenization, masking, and encryption that protect sensitive data without code changes.
Funding and backers
Team
51-200
employees, estimated range
Hiring now
3
open roles
Momentum
15/100
in the news
Last sign of life
1 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
2018
Founded
Tractionpublic signals, read monthly
Web presence
top 6%
of 133.2M domains by links, Common Crawl
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Jobs
≈ $59k – $109k per year (Estimated) · In office · Full-Time · 5+ years exp · Mississauga
MySQL
PostgreSQL
Oracle
MS SQL
AI/ML
Prompt Engineering
Tokenization
DevOps
Rest API
Nginx
Linux
VPN
Apache HTTP Server
Apply
≈ $80k – $157k per year (Estimated) · In office · Full-Time · 15+ years exp · Mississauga
Go
JavaScript
Java
Rust
TypeScript
Node JS
Groovy
NATS
Apache Kafka
AI/ML
Copilot
Cursor
Claude Code
Function Calling
AI Agents
LLM
RAG
Tokenization
Human-in-the-Loop
NIST AI RMF
DevOps
Terraform
GCP
OpenTelemetry
Prometheus
Pulumi
Azure
CI/CD
AWS
Docker
Kubernetes
Grafana
Linux
TCP/IP
DNS
Cybersecurity
PCI DSS
SOC 2
GDPR
Threat Modeling
DLP
OWASP
QA
Chrome DevTools
Apply
≈ $59k – $110k per year (Estimated) · In office · Full-Time · 5+ years exp · Bachelor's Degree · Mississauga
Python
JavaScript
Java
Bash
Maven
AI/ML
Tokenization
Frontend
npm
DevOps
Terraform
GCP
Zabbix
GitHub Actions
containerd
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Grafana
SaltStack
GitHub
Amazon ECS
Linux
Cybersecurity
SonarQube
Apply
Growth
Hiring Momentum
52/100
Stable
Open positions
3
0 opened / 2 closed in 30 days
Median time-to-fill
100 days
faster than 11% of the market
ATS activity
Every ~5 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
DevOps
40% ▲
Product
40% ▼
Backend
20% ▼
Activity Timeline
Added VPN to stack
Oct 2026
Added Rest API to stack
Oct 2026
Added Oracle to stack
Oct 2026
Added Nginx to stack
Oct 2026
Added MySQL to stack
Oct 2026
Added MS SQL to stack
Oct 2026
Added Apache HTTP Server to stack
Oct 2026
Added TCP/IP to stack
Sep 2026
Added Linux to stack
Sep 2026
Added DNS to stack
Sep 2026
Added SIEM to stack
Sep 2026
Added OWASP to stack
Sep 2026
Tech stack
Technologies named in job postings at DataStealth over the last 12 months, by layer, with the share of postings for each.
Technologies in use
69
Postings analysed
8
Stack modernity
81/100AI adopter
Languages
Java
JavaScript
Go
Node JS
Frameworks & libraries
OpenTelemetry
Databases
PostgreSQL
MS SQL
MySQL
Oracle
Cloud & platforms
AWS
Azure
GCP
Linux
AI & ML
LLM
Claude
Sign in to see how your skills match this stack
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Full DataStealth tech stack
69 technologies · by team · pay by technology · changes · similar stacks
News
The Skimmer Was the Decoy: What 600,000 Stolen Cards Say About Where Payment Security Breaks
AI agents breached 27 retailers and exfiltrated 600,000 card records, mostly from databases rather than checkout skimmers. Here is what would have stopped it.
Read more
Report
The Shadow Data You Don't Know You Have: A Practical Discovery Checklist
Shadow data hides in backups, test environments, spreadsheets, and SaaS exports. Use this practical checklist to find and secure it before attackers do.
Read more
Report
Q-Day Is Not Y2K, and the Comparison Cuts Both Ways
Y2K was a bounded deadline. Q-Day is a data problem that starts the day you first transmit data.
Read more
Report
Vaulted, Vaultless, and Format-Preserving Encryption: Choosing Deliberately
Vaulted vs. vaultless tokenization and FPE compared: what threatens each, and why DataStealth leads with the vault.
Read more
Report
Your Encrypted Data Is Already Gone. Here Is What That Actually Means.
Why PQC alone isn't enough, and how tokenization narrows what's exposed.
Read more
Report
Security Doesn't End at Detection
Prevention and detection aren't enough. Learn how data-centric protection closes the last gap in enterprise security.
Read more
Report
Data Residency vs. Data Sovereignty: What Canadian Law Actually Requires
Canadian law doesn't mandate Canadian hosting, it mandates risk mitigation. Here's what Bill C-36 and Law 25 really require...and where tokenization fits.
Read more
Report
The Myth of the Unbreachable Perimeter
Breaches are inevitable even for well-resourced organizations. Discover why data-centric security, not another perimeter layer, is what limits the fallout when one occurs.
Read more
Report
Is It Safe to Put Sensitive Data Into ChatGPT? (2026 Enterprise Guide)
Is it safe to put sensitive data into ChatGPT? Not by default: prompts can be stored, trained on, and exposed. See the enterprise risks and how to fix it.
Read more
Report
Mainframe Modernization Risks: The Complete 2027 Guide to De-Risking the Migration
The 5 mainframe modernization risks, and how to de-risk migration at the data layer: discover, tokenize, and protect sensitive data with zero code changes.
Read more
Report
Show more news
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Mississauga
Mississauga
Canada
HQ
It's Time for a Smarter Data Security Strategy
3 open roles 5 posted in 90 days 100% engineering 50-200 est. staff
hires for DevOps, Backend






