Safeguard Your Apps and AI Innovation

Fast, actionable security solutions to enable your business.

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Application Security

Targeted, actionable reviews of your applications and cloud setup.

AI Security

Identify risks when building AI features into your product.

Security Engineering

Embed security into your CI/CD, cloud, and delivery pipelines.

Security Automation

CI/CD guardrails, policy-as-code, evergreen dependencies, and hardened images—without slowing delivery.

Penetration Testing

Targeted web/API/AI testing with clear, reproducible findings and pragmatic fixes.

Tech & AI Assurance

Help your team choose the right strategic technology and AI platforms for your business.

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Beyond reports. We don’t just deliver findings — we help you implement fixes, harden defences, and validate improvements, so security results last.

How We Work

Quick Discovery Call — understand your product and risk surface.
Posture Review — AppSec + AI readiness checks with clear priorities.
Action Report — deliver fixes, examples, and code-level guidance.
Optional Follow-Up — workshops or automation built into your pipeline.

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"Hadosec helped us secure our AI integration in under two weeks. Their guidance was clear, practical, and our engineering team adopted it seamlessly."

— Alex Wengraf, Head of Marketing SaaS Startup

Latest Insights

Stay up to date with our practical security notes and field learnings.
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10 Rules of GitHub Branch Protection: Why Every Org Should Use Them

Any organisation — from a two-person startup to a global charity — benefits from branch protection rules in GitHub. They’re included for free on public repositories (and widely available on paid tiers for private repos). GitLab and Bitbucket offer similar features, but GitHub is the most popular platform, so that’s our focus. You can configure protections in two ways: Branch settings – simple rules per branch. Rulesets – reusable policies you can apply across multiple repos, ideal for organisations with dozens or hundreds of projects. Rulesets are the modern way forward: they scale better, layer more consistently, and support audits across teams. ...

Securing AI in Applications: Practical Best Practices for 2025

Excited about AI but not sure how to make sure your organisation deploys it in a safe and secure manner? You’re not alone. Right now, AI security is still a wild west—many controls are experimental, most vendors claim coverage they don’t fully deliver, and new solutions are untested at scale. If you already own application security, you need a clear view of what AI actually changes, what new risks it introduces, and what concrete protections you can adopt today. ...

Application Security Patterns: Building Blocks for Safer Software

When designing software, you want more than ad-hoc fixes and last-minute patches. You want reusable solutions that address recurring security challenges in a systematic way. That is exactly what application security (AppSec) patterns provide. In simple terms, an AppSec pattern is a tried-and-tested model that describes a common security problem, the context in which it occurs, and the reliable solution you can apply. Think of them as architectural building blocks: choosing the right patterns early on is a strategic move, because it weaves security into your system design instead of bolting it on afterwards. ...