>The Security Engine for AI-Native Development

Secure Everything You Build From Day One.

Accelerate AI coding by preventing security flaws before they're even written and find and fix the ones that have been in your codebase for years.

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Works with your coding agents - and more

Codex

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Claude Code

OpenCode

GitHub Copilot

Kiro

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Devin

Antigravity

OpenClaw

Aider

Augment Code

Jules

Kilo Code

Kimi

Roo Code

Codex

Cursor

Claude Code

OpenCode

GitHub Copilot

Kiro

Cline

Devin

Antigravity

OpenClaw

Aider

Augment Code

Jules

Kilo Code

Kimi

Roo Code

[challenge]

AI is Accelerating Development. Security Can't Keep Up.

Developers are shipping code faster than ever with AI assistants. But AI-generated code has 1.7x to 2x more security vulnerabilities.

Scans happen after damage is done

Traditional security tools only scan and find vulnerabilities after they are written. With the increasing volume of code that is shipped, the amount of findings is only increasing. No one can work through all this noise.

Finding vulnerabilities was never the problem

Finding vulnerabilities was never the problem. Teams get overwhelmed by the amount of false positives from legacy scanners. So the critical flaws never get patched, leaving organizations at risk.

Attackers use the same technology you do

Attackers now use the same AI tools you do, which makes the first two problems even worse. Attacks are not only increasing - they're accelerating, shrinking your window to respond.

[solution]

Build Securely And Compliant From The Start.

Stop vulnerabilities before they're written - and fix the ones already hiding in your code. Olymp Labs secures everything your agents ship, without any additional overhead.

Prevent vulnerabilities at the source

Our MCP server and CLI tool integrate directly with your coding tools, preventing vulnerabilities before they're even written. Eliminating entire vulnerability classes by default.

Proactive guardrails give agents the context to write secure code, generated from your specific system
Compliance is built in, so every line you ship stays compliant

coding agent

add an API endpoint to download a file given the file parameter

olymp_labs.security_context✓

Olymp Labs Security Engine

File downloads must validate filenames using secure methods and confine paths to a designated directory to prevent path traversal.

routes.py+12

1# Secure file download endpoint

2@app.route('/download', methods=['GET'])

3def download_file():

4 filename = secure_filename(request.args.get('file'))

5 return send_file(safe_path, as_attachment=True)

Find and fix vulnerabilities

We automatically review every pull request and scan your code repositories and cloud environments on demand. We identify vulnerabilities and compliance issues, give developers actionable feedback, and provide automatically generated fixes.

Detect security & compliance issues in pull requests, repositories & cloud environments automatically
Get detailed explanations, remediation guidance, and automatically generated fixes

Pull Request #247 · auth

app/routes.py

1- return Settings.query.get(user_id)

2+ if user_id != current_user.id:

3 + abort(403)

4+ return Settings.query.get(user_id)

Olymp Labs· Broken Access Control (IDOR)high

Missing ownership check lets any user read another's settings by changing user_id.

fix generated · ready to apply

Ensure the same quality, every time

Build a security program by generating security standards from your entire system context, monitored and updated automatically. They're enforced too, so every future build has the same quality - and developers not using AI can follow them as well.

Auto-generated standards from your code, cloud, docs, and runtime
Monitor, update, and enforce consistently across every build

Security Standards

generated from your system context

Auth flows must validate against the revoked token listenforced

S3 buckets enforce server-side encryption (SSE-KMS)enforced

Dependencies scanned for known CVEs before mergeenforced

Secrets never logged - redacted at the transport layerenforced

[engine]

One Context Engine. Complete Understanding.

Our Context Engine connects all your data sources - Runtime, Cloud, Docs, Specifications, Code, and Security - harmonizes, unifies, and enriches them so AI agents get deep system context. Combined with our own dataset of industry standards, security knowledge, vulnerabilities, and fixes, you get state-of-the-art security knowledge on every request.

Your Systems

Runtime

Cloud

Docs

Specifications

Code

Security

Our Security Dataset

Our security dataset consists of industry standards (e.g. OWASP Top 10, CWE Top 25), our own security expertise, known vulnerabilities (e.g. CVE, NVD), vulnerable packages, compliance standards (e.g. NIS2) and proven fixes - so every request is backed by state-of-the-art security knowledge.

Explore the Context Engine

[impact]

Built for Results.

Real, measurable outcomes - not just promises. So you can start shipping, while we do the security.

Fewer security vulnerabilities

We prevent entire vulnerability classes and automatically fix the ones that slip through.

Time freed up

We prevent most issues and help fix the ones that slipped through, freeing up developers and security teams.

Compliance, by default

We tell agents which configurations are compliant pre-generation and regularly check that they still are.

[partners]

[faq]

Frequently Asked Questions.

You absolutely could. You just have to connect your Cloud Environment, Security Tools with all their findings, Docs, Code, and Runtime Data, harmonize, unify and enrich them, constantly update your dataset, and tell the agent to fetch this data continuously. Then you would need a dataset containing the newest vulnerabilities, vulnerable packages, and configurations. For all of them you would have to check what secure means in your system context. Then you would have to give all of this to your coding agent without overloading the context window - and then you would be good to go. If you do not have the capacity to do that, just leave it to us.