Secure AI
generated code
Vidoc finds and fixes vulnerabilities in real-time. Never compromise on speed and security.
Available for all major programming languages
import flask
# [!code focus:7]Autofix with Vidoc
@app.route('/api/user/<user_id>', methods=['GET'])
def get_user_data(user_id):
user = database.find_user(user_id)
return user
@app.route('/api/user/<user_id>/settings', methods=['POST'])
def update_user_settings(user_id):
settings = request.get_json()
# No input validation
database.update_settings(user_id, settings)
return {"status": "success"}
without risksNo engineering overhead.
business contextSaves hours of manual validation.
VIDOC scans your entire codebase to see exactly how your services and dependencies connect.
It uncovers hidden risks and prioritizes them more accurately.

Secure by design
Built by security professionals, follows best practices and highest security standards.

Deploy anywhere
We get it, your code is sensitive. Deploy VIDOC onprem or in your cloud. Fast and easy deploy with Terraform.

No code is stored
Your code never leaves your internal network. It is never stored or used for training.

Klaudia Kloc
CEO @ Vidoc Security Lab

Dawid Moczadło
CTO @ Vidoc Security Lab

Keith Adams
Formerly Chief Architect Slack, Facebook, VMware, GP @ Pebblebed

Pamela Vagata
Founding team @ OpenAI and Pebblebed

Tammie Siew
Former Sequoia Capital, GP @ Pebblebed

Walter Kortschak
VC @ Firestreak Ventures

Aihui Ong (i-we)
GP @ Transform-Cap VC, Investor @ XFactor Ventures

Enis Hulli
GP @ 500ee
Ship secure applications faster.
in cybersecurity.
How we helped make Lovable more secure
A technical deep-dive into exploiting Firebase Auth emulator configuration via cookie injection, mixed-content bypasses, and subdomain trust boundaries - and how VIDOC helped Lovable secure their platform.
Detecting complex vulnerabilities in real-world code: LLM benchmark for enhanced software security
Traditional SAST tools often miss complex business logic flaws, but can LLMs fill the gap? Research publication by Klaudia Kloc and Dawid Moczadło introduces a real-world benchmark to evaluate AI effectiveness in identifying vulnerabilities that standard tools overlook.
Vibe Coding Security Vulnerabilities: risks, examples, and guardrails
Vibe coding accelerates delivery but raises security risk. This guide breaks down real failure modes (SQLi, XSS, auth bugs, deserialization/RCE, memory safety, secrets, and supply-chain 'slopsquatting'), shows two code examples, and lists guardrails that actually work.