Uncover critical vulns so you can ship with confidence

Build with 2000+ customers happy feedbacks
Contact us

AI-powered, human-verified deep security audits that find critical vulns others miss

What We Do

AI Powered, Human Verified

We combine our frontier LLM-powered AI AppSec Agent with a team of in-house cyber experts to uncover important vulnerabilities that others miss. No new tools to learn or noise to sift through -- just high quality findings.

Deep White-Box Audit

We take the time to understand your business & application - code, infra, business context - to ensure findings are relevant & prioritised. Protect your most important assets, not just what's easy to scan.

Universal Compatibility

Our AI agent works across all major programming languages (e.g. JavaScript, Python, Java, PHP) and frameworks. If it’s a web app or API, we can review it.

Secure by Design

We never train on customer code and take customer data security incredibly seriously. From data storage, personnel security, to AI agent security, we safeguard your data at every step of the process.

REACH OUT TO SEE HOW WE CAN HELP

Our Team

People who makes the difference

Soroush Pour
CEO & Co-Founder

Led the Security team at SF-based fintech unicorn Plaid. Engineer & startup founder with deep expertise in AI, software, and cybersecurity. Managed Tech team of ~40 people incl. defensive cyber at advanced biotech Vow. Love time in nature, with family, and reading 🥾🏕️📚❤️!

Alex Browne
CTO & Co-Founder

Repeat founder and engineering leader. 12+ years of building world class teams and delightful products in security-critical industries such as fintech, crypto, and AI. Early engineer at Plaid, 0x, and Kraken. Boulderer, amateur musician, and lover of homemade coffee ☕.

Elysha Png
Chief of Staff

Repeat Chief of Staff with 9+ years in strategic and cybersecurity initiatives, including SOC 2. Led ops at Vygo, Culture Amp, and Disney; former board member of Rethink Priorities / Institute for AI Policy and Strategy. Polyglot and dog lover 🐶.

Karan Hiremath
AppSec Engineer

Senior AppSec Engineer leading fraud prevention, threat modeling, and cloud security for enterprise APIs. 10+ years of securing systems in logistics, fintech, and AI, including SOC 2, GDPR, and data protection frameworks. Lifelong learner ranging across software engineering, data, cybersecurity and more 🚀.

James Dao
Founding Engineer

Engineer and researcher combining frontier AI security expertise (MATS, ARENA) with experience in quantitative trading and data-intensive bioinformatics. Perpetually fascinated by technology across all disciplines and how it shapes civilization 🌎.

Chris Mathwin
Founding Engineer

Software engineer with expertise in machine learning and defensive AI (MATS). Loves to travel, really into cybersecurity CTFs and a bit of a night owl 🦉. Former PhD candidate / structural engineer.

Jason Kelly
Software Engineer

Former engineering leader building resilient systems to secure sensitive financial data at Moneytree and StashAway. 14+ years in cloud security, scalable infrastructure, and software engineering across fintech and data platforms. Coded his way across the UK, Singapore, and now Japan 🇯🇵.

Fernando Borretti
AppSec Engineer

12+ years of software engineering, including leading SOC 2 Type II certification at SimConverse (AI EdTech startup for healthcare training). Highly skilled in Python, Rust, and cloud architecture. Reads textbooks and writes open source code for fun, and currently building a compiler for a new security-oriented programming language 🧑💻.

Jeffrey
AppSec Engineer

Repeat founder and product/engineering leader with 15+ years building security-conscious software for fintech, AI and government. Former founder at a fintech, and avid reader of Bruce Schneiner’s blog on cybersecurity

This could be you!

Join the Harmony team and help ensure humanity flourishes alongside ever more advanced AI systems.

Role at Company
SEE OPEN ROLES
X

CONTACT US

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.