AI-native code security

Security that understands your code

Move beyond noisy pattern-matching scanners. AI Shield uses semantic reasoning and intelligent agents to find real vulnerabilities—and proposes concrete fixes you can actually use.

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AI Shield — Scan Results
SQL InjectionCritical

Unsanitized user input in database query at line 42

auth/login.py:42
AI-generated fix
- query = f"SELECT * FROM users WHERE id={user_id}"
+ query = "SELECT * FROM users WHERE id = %s"
+ cursor.execute(query, (user_id,))
3 issues found • 3 fixes available
Agent traceReAct
Inspect auth flow for tainted input
Trace dataflow across modules
Generate fix with safe query
Context graphAST + DF
auth
db
api
utils
flow
ui

Trusted security foundation

Built for teams that need signal, not noise

Early data points show AI Shield surfaces fewer false positives and delivers actionable fixes faster.

10k+
repos analyzed in prototype
<3 min
median scan time for mid-size repo
0
customer code used for model training

Design partners (placeholder)

Northwind
Helios
Greybox
Summit
Arbor
Kinetic

What's broken with current code security

Legacy SAST tools were built for a different era. Your code has evolved. Your security tools haven't.

Drowning in false positives

Traditional scanners flag everything. Your team wastes hours triaging alerts that turn out to be nothing.

Pattern matching misses context

Regex-based rules can't understand your code's logic. They miss vulnerabilities that require semantic understanding.

Real issues slip through

Complex vulnerabilities involving data flow across functions and files go completely undetected.

No actionable fixes

You get a list of problems but no help solving them. Your devs are left to figure it out themselves.

How AI Shield works

From code ingestion to actionable fixes in three steps.

Step 01

Ingest & analyze

Connect your repository. AI Shield parses your codebase, builds an AST, and maps data flow across files and functions.

Step 02

AI reasoning

Intelligent agents use semantic understanding and ReAct-style reasoning to evaluate vulnerability patterns in context.

Step 03

Generate fixes

Receive detailed findings with AI-generated code fixes. Understand the 'why' behind each issue with clear explanations.

Built for security-conscious teams

Features designed for developers and security engineers who ship fast without compromising on security.

Semantic vulnerability detection

AI understands code intent and context, going beyond pattern matching to find real security issues.

AI-generated fix suggestions

Get concrete, copy-paste-ready code fixes with explanations of why the change matters.

Coming soon

CI/CD integration

Integrate scans into your existing pipeline. Block risky code before it reaches production.

Repo-level risk overview

See your security posture at a glance with prioritized findings and trend tracking.

Planned

Explainable reasoning trails

Understand how AI reached its conclusions with transparent reasoning chains.

Future

Self-hosting friendly

Run AI Shield on your own infrastructure. Your code never leaves your environment.

Technical architecture

A high-level view of how AI Shield processes and secures your code.

Code Ingestion

Clone repo & parse source files

AST & Dataflow

Build syntax tree & track data flow

AI Agents

ReAct-style reasoning & analysis

Results & API

Findings, fixes & dashboard

Security & privacy posture

  • Your code is analyzed but never stored long-term without consent
  • AI models are not trained on your proprietary code
  • Self-hosted deployment option for full data control
  • SOC 2 compliance on roadmap

Documentation built for engineers

Clear references for security teams and builders.

Getting started

Install the CLI, authenticate, and run your first scan in minutes.

CLI reference

Understand commands, flags, and output formats for automation.

Results API

Pull findings and fixes into your internal security workflows.

Security model

Review data handling, privacy expectations, and deployment options.

Docs and technical overview

Explore architecture notes, API details, and security posture in one place.

View docsAPI reference

Docs links are placeholders for now.

Where we are today

AI Shield is early-stage with a strong foundation. Here's an honest look at our current state and roadmap.

What exists today

  • Working CLI prototype with vulnerability scanning
  • AI-powered analysis engine using ReAct agents
  • AST parsing and dataflow analysis
  • Automatic fix suggestion generation
  • Basic API for scan results

What's in progress

  • Web dashboard for scan visualization
  • Improved reliability at scale
  • Simplified deployment & onboarding
  • CI/CD integration plugins
  • Enhanced language support

Ready to secure your code with AI?

Join the early access program and be among the first to experience AI-native code security. We're working with select teams to refine the product.

Request accessSchedule a call

No credit card required • Early adopters get priority support