The Closed Loop for Application Security

Think Like an AI Attacker. Defend at AI Speed.

Attackers now use AI to chain small flaws into real breaches, faster than teams can patch. Data Theorem closes the loop across your code, mobile apps, APIs and cloud: it finds the chain, tells you what matters, fixes it in your code and blocks it at runtime while the fix ships.

Our customers cover over 2.8 billion users and include 7 of the top 10 largest banks.

Code, Apps, APIs and Cloud

AppSec Built for the AI Era

Every app you build and every API it calls, secured from code to cloud. Data Theorem uses AI to find the exploits that matter, block them at runtime and fix them in your code, on top of the discovery, authenticated testing and posture your AppSec program runs on.

  • AI Exploits
  • AI Active Protection
  • AI Auto-Remediation
Explore the Platform
AppSec Before AI Scanner output

A long list of separate findings

  • Debug symbols in release build Low
  • Internal API route in app strings Low
  • Hardcoded key in AppConfig.swift Medium
  • BOLA on GET /v2/orders/{id} Medium
  • Verbose error messages Low
  • Outdated TLS cipher Low
  • No way to tell which ones chain into a breach
  • Fixes wait in the backlog for a release
  • Nothing stands between the attack and the patch
AppSec in the AI Era, With Data Theorem

One proven chain, blocked and fixed

  1. AI Exploits Critical

    Chains the two Lows and a Medium into one proven path to customer data.

    Proven chain: app key, to BOLA, to customer data
  2. AppSec Agent Prioritized

    Tells your team it is the one chain to fix first.

    What should I fix first? The checkout chain. It is the only path to customer data, and the fix is ready.
  3. AI Active Protection Protected

    Blocks the attack in the app and at your WAF the same day.

    GET /v2/orders/1042 · key pulled from a decompiled app
    Tampering blocked in the app 403 Blocked at your WAF
  4. AI Auto-Remediation Fixed

    Hands the exact fix to your coding agent. It ships behind the block.

    - let key = "9f2c41e7…"
    + let key = Keychain.read("api")
    Merged by your coding agent. The chain is closed.

Discover

Know Your Entire Attack Surface

Map every mobile app, API, cloud asset and AI component across your portfolio, including the ones nobody registered. The inventory stays current as apps ship and APIs change.

  • Shadow and third-party APIs, found by probing the perimeter and reverse engineering your apps
  • Every app you publish to the Apple App Store and Google Play, tracked release by release
  • AI agents, models and AI-written code in your repos, with an AI BOM

Illustration: your known environment on an island, with discovery finding what was never on record inside it, an AI agent in a repo and an unknown API, and outside it, a new app in the Apple App Store and a shadow API in an unknown cloud.

The AI Layer · AI Governance in Code SAST Secure Discovery reaches into your repos too: the AI agents, AI-written code and SKILL.md files your teams add, what they can do and the exposures they bring.

Security Testing

Test Like an Attacker, Fully Authenticated

Most attacks happen after login. Mobile Secure signs in to your apps and tests every screen of every release. API Secure probes your APIs from outside, then signs in as two different users to prove when one can reach the other’s data.

Mobile Secure Signs in and tests every screen of every release
Live scan Signed in
  • Launching Example Bank 4.2 on a real device
  • Dynamic scan started
  • Signing in as test.user@example.com
  • Signed in. Session established
  • Home screen: capturing every API call
  • Session token stored in plaintext Medium
  • Activity screen: scrolling full history
  • Account ID exposed in an API response Low
  • Card settings: every toggle exercised
  • Scan complete. Findings handed to AI Exploits
  • AI Exploits: the token and the exposed ID chain into account takeover Critical
Screens covered
Launch Sign in Home Activity Card settings
API Secure Tests from outside, then signs in as two users
Authenticated test run accounts-api · prod User A User B
  • Injection POST /v2/search q=' OR 1=1 400 Input rejected Pass
  • Rate limiting POST /v1/auth/login 50 tries in 10s 429 Throttled Pass
  • Broken auth GET /v2/accounts/A expired token 401 Token refused Pass
  • Function-level auth DELETE /v2/admin/users/7 as User A 403 Denied Pass
  • Mass assignment PATCH /v2/profile {"role":"admin"} as User A 200 Role changed High
  • BOLA GET /v2/accounts/B as User A 200 User B’s data Critical
Response to User A · 200 OK
{ "owner": "user_b", "balance": "8,104.55", "card": "•••• 4471" }
The AI Layer · AI Exploits, Powered by ARCANE ARCANE reads every verified finding across your apps and APIs and proves which ones chain into a path to your data, before an attacker does.

Application Posture

Know Which Apps Are Actually Exposed

Data Theorem ties every app to its code, its APIs and its runtime activity, verifies what an attacker can actually reach, and rolls it into one posture score for every app and API.

The AI Layer · AppSec Agent Ask in plain language which apps have an exploitable chain and no runtime protection, and get the answer from the same correlated view.

AI Auto-Remediation

Found in the App. Fixed in the Code.

A finding in the app, traced to the line of code that caused it. AI Auto-Remediation hands the exact fix to the coding agent you already approved, whether that is Claude Code, Cursor, GitHub Copilot or Codex, running on your own LLM. Your agent writes the patch, Code SAST Secure checks it before commit, and your team can review every change.

Explore Code SAST Secure
  1. Find
    Mobile Secure
    Finds a session token stored in plaintext
  2. Prove
    AI Exploits
    Chains it into the path an attacker would take
  3. Fix
    AI Auto-Remediation
    Hands the exact fix to your own approved coding agent
    Sent to your approved coding agent
    Claude Code Cursor GitHub Copilot Codex
    Code SAST Secure checked the patch before commit
    Exploit chain broken

Runtime Protection

Block It Now. Fix It Right Behind.

Finding the chain is step one. The fix still takes a release to ship, and attackers will not wait for it. Mobile Protect blocks the attack inside the app, API Secure has the WAF you already run block it at the edge, and the fix lands right behind.

  1. Day 0 · Found

    AI Exploits finds the chain

    Validated before release. The fix goes into the next release.

  2. Day 1 · Attack

    An attacker tries it the next day

    AI tooling decompiles the app, pulls the key and calls the API.

  3. Day 1 · Blocked

    Runtime breaks the chain

    Mobile Protect stops the tampering. API Secure has your WAF block the call.

  4. Day 6 · Fixed

    The fix ships. The chain is closed.

    AI Auto-Remediation wrote the patch. Runtime protection stays on.

The AI Layer · AI Active Protection Mobile Protect spots AI-assisted decompiling and reverse engineering inside the app and blocks it, so one broken link stops the whole chain.

Across the Lifecycle

Secure Your Entire Development Lifecycle

Data Theorem plugs into the tools your teams already use, from the coding agent to the WAF. Findings and fixes land in your repos and tickets, and alerts reach your team without anyone opening a new console.

  1. Code

    Coding agents and IDEs, through the MCP server and CLI

    • Claude
    • Cursor
    • GitHub Copilot
    • VS Code
    • Codex
    Code SAST Secure
  2. Build

    Repos and pipelines, tested on every build

    • GitHub
    • GitLab
    • Bitbucket
    • Azure DevOps
    • Jenkins
    Code SAST SecureMobile SecureAPI Secure
  3. Release

    Store builds, distribution and API collections

    • App Store
    • Google Play
    • Firebase
    • Bitrise
    • Postman
    Mobile SecureAPI Secure
  4. Run

    In your app, your cloud and at your WAF

    • iOS and Android apps
    • AWS
    • Azure
    • Google Cloud
    • Cloudflare
    • F5 BIG-IP
    Mobile ProtectAPI SecureCloud Secure
  5. Respond

    Tickets, alerts and your SIEM

    • Jira
    • ServiceNow
    • Slack
    • Microsoft Teams
    • Splunk
    Every product

Get Started

See What an AI Attacker Would Find

Start with one app or one API. See the chains AI Exploits proves, the fix your coding agent receives and the block that holds in the meantime.

  • A scoped proof of concept Run on your own app or API, time-boxed and agreed up front.
  • Start from a binary or an API No source code needed to see your first exploit chains.
  • Fixes through your own agent Connect Code SAST Secure and watch remediation land where developers work.