AI-Driven Application Security

Prevent AppSec Data Breaches in the AI Era

Attackers now use AI to find and chain exploits across your apps and APIs. Data Theorem uses AI to find those chains first, fix them in code and block them at runtime, on one platform from code to cloud.

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The Mission, Now With AI

Preventing AppSec Data Breaches Has Always Been the Mission. AI Changes the Game.

Always

Since 2013, Data Theorem has had one focus: preventing AppSec data breaches across your apps, your APIs and the cloud behind them.

Now

AI changes the game. Attackers use it to decompile apps, map APIs and chain small issues into a breach faster than any team can triage.

So

The only way to keep up is to use AI to stop AI, at every point an attacker would reach for.

Using AI to stop AI means three things

01
Understand AI Exploits See how AI would exploit your apps and APIs, and get the validated chain before an attacker does. See how we test
02
Remediate AI Auto-Remediation Fix at the pace AI attacks demand. The patch goes straight to your coding agent. See how we fix
03
Defend AI Active Protection Block the attack at runtime until the fix ships, and break exploit chains outright. See how we defend

The New Reality

AI Attackers Chain the Lows. It Takes AI to Stop AI.

AI tools let attackers decompile apps, map APIs and line up small issues into a path to your data. Point tools grade every issue on its own. AI Exploits reads the whole field and finds the chain first.

Low Debug symbols
+
Low API route in strings
+
Low Pinning gap
+
Medium Missing authorization
Critical Customer data exposed
High Medium Low
Your queue says fix the highs. The real path ran through the lows.

One Platform

Every Layer of the Application, One Platform

Data Theorem covers the code, the running apps and APIs, and the runtime they live in. Every finding is checked against the others, so you fix what an attacker can actually reach.

01

Code

SAST, SCA and SBOM across every repo, for developers and coding agents

02

Apps

Automated dynamic testing of iOS and Android binaries on every release

03

APIs

Discovery and fully authenticated security testing for every API

04

Runtime

In-app protection, plus API Secure runtime protection at the API

AI across every layer AI Exploits AI Auto-Remediation AI Active Protection
Cloud Secure

From code to cloud. Cloud Secure extends the view to the cloud infrastructure your apps and APIs connect to and run on.

Explore Cloud Secure

Understand · Dynamic Testing

Test Like an Attacker, Fully Authenticated

Most attacks happen after login. Mobile Secure and API Secure test your running apps and APIs signed in, and SAST+ traces every verified finding back to the line of code.

Signed In From the Moment the App Launches

The scan opens the app, signs in and follows it screen to screen, like a real user and a real attacker.

App launches Every release, from your pipeline or the stores
Signs in with your test credentials test.user@example.com
Tests every screen behind the login No jailbroken devices needed
Explore Mobile Secure

Testing That Logs In, the Way Attackers Do

Real sessions find the authorization flaws, like BOLA and privilege escalation, that unauthenticated scanners never reach.

Signed in as User A Session kept through your identity provider
Requests User B’s account GET /v2/accounts/48213
Broken object-level authorization Confirmed by a real request
Explore API Secure

Remediate · Code

Fix at the Pace AI Attacks Demand

When AI finds an issue, the fix has to keep up. Code SAST Secure scans your repos for vulnerable code, vulnerable open source and what is inside every build, and AI Auto-Remediation hands the fix to your coding agent before the commit.

  • Static application security testing (SAST) and software composition analysis (SCA) in 20+ languages
  • A software bill of materials (SBOM) and AI BOM for every build
  • Findings and fixes inside your coding agent through the MCP server, and a pre-commit hook for developers
  • AI Governance for the agents, AI-written code and SKILL.md files in your repos
Code SAST Secure AI Auto-Remediation
terminal
$ git commit -m "add account export"
Data Theorem pre-commit check...
✕ High: SQL built from request input
src/export/AccountExport.kt:42
⚠ SCA: vulnerable library version in build.gradle
Commit blocked. 2 issues.
✦ Fix ready for your coding agent
✓ Re-check passed. Commit allowed.

Defend · Runtime

Runtime Is the First Layer of Defense

Finding the chain is step one. The fix still takes a release to ship. Here’s how runtime protection holds the line until it does.

  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.

Mobile Protect API Secure Explore Active Protection
AI Exploits, Powered by ARCANE

Think Like an AI Attacker. Defend at AI Speed.

ARCANE, Data Theorem’s AI exploit engine, proves every chain at runtime before it reaches you. See how AI Exploits, AI Auto-Remediation and AI Active Protection close the loop.

Explore AI Security

DevSecOps

Where Data Theorem Plugs In

Data Theorem was built in 2013 to run inside the release process, with no manual step in the loop. It remediates in the code, tests between build and release, and protects your apps and APIs in production, so AppSec scales with development instead of slowing it down.

Dev: Shift Left
Data Theorem Remediates Here

Code

Issues fixed where developers and agents write code

  • No bad commits Code SAST Secure
  • Findings in the IDE and agent MCP server and CLI
AI Auto-Remediation
Works with
Integrates Here

Build

Repos and pipelines, checked on every pull request and build

AI Governance
Code SAST SecureMobile SecureAPI Secure
Data Theorem Tests Here

Security Testing

Every build tested in your pipeline

  • Mobile apps Mobile Secure
  • APIs API Secure
  • Code Code SAST Secure
AI Exploits
Works with
Ops: Monitor and Protect
Integrates Here

Release

Store submissions and every published app

Mobile Secure
Data Theorem Protects Here

Monitor

Apps and APIs monitored and protected in production

  • In the app Mobile Protect
  • At the API API Secure
  • In the cloud Cloud Secure
AI Active Protection
Works with
  • + more
Integrates Here

Respond

Tickets, alerts and your SIEM

  • + more
Every product
Explore DevSecOps

With Data Theorem, we have continuous security testing in place for all of our apps in the app stores with security discovery and inspection across our modern APIs.

Rich Tener Head of Security, Evernote
Read the Evernote Story

Resources

Go Deeper on AI-Driven AppSec

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Use AI to Stop AI

See how Data Theorem finds, fixes and blocks AI-driven exploits across your code, apps and APIs, in one closed loop.

Explore AI Security Schedule a Demo
  • Your exploit chains, found first See what an AI attacker could chain across your own app and API.
  • Protection while the fix ships Runtime blocking in the app and at the API from day one.
  • Fits your pipeline Connects to the repos, CI/CD and ticketing tools you already run.