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.
The checkout chain. It is your
only critical path.
DefendBlocked
AI Active Protection
One link blocked at runtime
123
Link broken while the fix ships
FixFix sent
AI Auto-Remediation
Fix sent to your coding agent
orders.py
-
get_order(order_id)
+
get_order(order_id, owner=user)
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.
6 open findings7 open findings8 open findings+1 new finding+1 new finding+1 new finding
Debug symbols in release buildLow
Internal API route in app stringsLow
Hardcoded key in AppConfig.swiftMedium
BOLA on GET /v2/orders/{id}Medium
Verbose error messagesLow
Outdated TLS cipherLow
Debug symbols in release buildLow
Internal API route in app stringsLow
Hardcoded key in AppConfig.swiftMedium
BOLA on GET /v2/orders/{id}Medium
Verbose error messagesLow
Outdated TLS cipherLow
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
Low Low Medium
AppSec in the AI Era, With Data Theorem
One proven chain, blocked and fixed
AI Exploits Critical
Chains the two Lows and a Medium into one proven path to customer data.
LowLowMedium
Proven chain: app key, to BOLA, to customer data
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.
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
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.
AI ExploitsCritical
AppSec AgentPrioritized
AI Active ProtectionProtected
AI Auto-RemediationFixed
Chains the two Lows and a Medium into one proven path to customer data.
LowLowMedium
Proven chain: app key, to BOLA, to customer data
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.
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
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.
The Platform
Five Products. One Platform.
Start with one product and add the rest on the same portal. Every product shares one Analyzer Engine and the same AI capabilities, so what one finds becomes context for all of them, from the code to the cloud.
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.
Your known environment
Inside, not on recordAI agent in a repo github.com/org/ai-service
Inside, not on recordUnknown API found GET /internal/v2/export
Outside knownNew app detected Apple App Store
Outside knownShadow API, unknown cloud POST /v1/chat
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.
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 SecureSigns in and tests every screen of every release
10:24Thursday, October 172°
Camera
Mail
Maps
Music
Example Bank
Notes
Weather
Photos
Dynamic scan started
Example Bank
Sign In
Email
test.user@example.com
Password
••••••••••
Sign In
Example Bank
Good Morning
Everyday Checking
$12,480.22
Available balance
Pay
Cards
Activity
Recent Activity
Coffee Shop-$4.50
Payroll+$2,300.00
Example Bank
Activity
AllSpendingDeposits
Grocery Store Today -$62.18
Coffee Shop Today -$4.50
Payroll Yesterday +$2,300.00
Gas Station Yesterday -$41.07
Streaming Service Sep 28 -$15.99
Restaurant Sep 27 -$38.40
Pharmacy Sep 26 -$12.65
Bookstore Sep 25 -$22.10
Rideshare Sep 24 -$18.30
Example Bank
Card Settings
Debit Card
•••• ••••
Lock card
Travel notice
Spending alerts
Dynamic scan running
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 SecureTests from outside, then signs in as two users
Authenticated test runaccounts-api · prod A User A B User B
Running tests1 finding so far6 tests · 2 findings
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
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.
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.
Mobile appMobile Banking App
Binary tested every release
Posture
Scoring
68
AI Exploits: code to app to API chain verified
Runtime protection active
2 APIs and 1 repo correlated
Web appOnline Banking
Calls 2 of these APIs
Posture
Scoring
74
Code SAST Secure
Code repo
payments-app / auth.js
APIsPayments API
Every endpoint tested signed in
Posture
Scoring
61
Weakest endpoint: POST /v2/payments/transfer 1 shadow API found and inventoried Rolls up from every endpoint subscore
POST /v2/payments/transfer 41
GET /v1/accounts 86
POST /v1/auth/session 74
Runtime
Protected in the app
Attacks blocked, APIs monitored
Jailbreak detected, blocked
Hooking attempt blocked
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.
Hands the exact fix to your own approved coding agent
Sent to your approved coding agent
Claude Code Cursor GitHub Copilot Codex
Fix context sent: file, line and the proven chain Your agent is writing the patch with your LLM Patch ready. Nothing ships without your review
SessionStore.kt · patch from your agent
Traced to this line
AI Auto-Remediation
Fix applied
12
class SessionStore {
13
prefs.put("session", token)
13
secureStore.put("session", token)
14
}
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.
Exploit chain
Critical
Hardcoded key in the app binary Mobile app
BOLA on GET /v2/accounts/{id} API
Customer records exposed Data
Validated at runtime
Fix: next release
Found first
Day 0 · Found
AI Exploits finds the chain
Validated before release. The fix goes into the next release.
Acme Bank
Checking
$4,218.06
attack-agent
$ decompile acme-bank.apk
api_key=••••••
$ hook --skip-checks
GET /v2/accounts/48213
Day 1 · Attack
An attacker tries it the next day
AI tooling decompiles the app, pulls the key and calls the API.
Acme Bank
Tampering detected
Session closed by
Mobile Protect
API Secure → WAF
GET /v2/accounts/48213
Stolen key, wrong account
403 BLOCKED
Customer data
Never reached
Day 1 · Blocked
Runtime breaks the chain
Mobile Protect stops the tampering. API Secure has your WAF block the call.
ApiClient.kt
AI Auto-Remediation
class ApiClient {
- val key = "sk_••••"
+ val key = vault.token()
}
v4.12 released
Runtime still watching
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.
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.
Code
Coding agents and IDEs, through the MCP server and CLI
Build
Repos and pipelines, tested on every build
Release
Store builds, distribution and API collections
Run
In your app, your cloud and at your WAF
iOS and Android apps
Respond
Tickets, alerts and your SIEM
Every product
Solutions
Start With the Outcome You Need
Each solution brings Data Theorem products together around one outcome, across your code, mobile apps, APIs and cloud.