Full‑Stack Pen Testing for
Modern Applications

Web, API, Mobile & GenAI

OSCP | OSCE | 100% 🇨🇦 Based | 25+ yrs Pen Testing Experience

Manual testing that finds what scanners miss

Trusted by government, fintech & critical infrastructure teams across Canada

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Services

Application Pen Testing

→ Web Applications
→ API & Backend Services
→ Mobile Applications

Comprehensive OWASP‑aligned manual testing for modern application stacks.

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AI/ML Security

→ LLM & RAG Security Assessment
→ AI Agent & Integration Security
→ MLOps & Infrastructure Protection

In-depth GenAI testing for LLM & RAG deployments.
‍

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Multiple critical & high vulns on an average engagement

Critical findings escalated in < 24 h

Easy to reproduce steps in every report

Why Choose Appsurent

Established Expertise

OSCE, OSCP and other top certifications.
25+ Years combined assessment experience
‍

Full-Stack Application Security Experts

500+ Completed Assessments
‍Pioneer in Securing AI systems

Local Industry Veterans

Local Toronto Team
‍

Typical sectors we secure

Government

Federal, Provincial & Municipal

Critical Infrastructure

Healthcare

Payments & Banking

Transparent Pricing

Please see below for example pricing of typical engagement scopes. All amounts are in CAN ($). These are provided for information purposes only and are non-binding until the engagement of a services agreement.

Small

Medium

Large

Web

15K

30K

API

18K

35K

Mobile

18K

35K

GenAI

10K

15K

30K

See Full Pricing Details

Latest Insights

AI & ML Security

May 20, 2025

5 mins

Top 3 Myths About Securing AI Applications

Many AI applications are built on false assumptions about model safety, prompt injection, and system behaviour. This post unpacks the top myths we encounter in the field.

From SQL Injection to Prompt Injection: Why Security History Repeats Itself

27 years ago we learned: "Never trust user input in your SQL queries!" Today it's: "Never trust user input in your AI prompts!" This article explores the striking parallels between traditional web vulnerabilities and emerging AI security issues, highlighting why non-deterministic AI systems present unique security challenges that demand a return to fundamental security principles.

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