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Data Theorem

AppSec built for the AI era

AiDOOS Verified SAAS Security
☆☆☆☆☆ 0 reviews · 2.8 billion users
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Category
Security
Deployment
Cloud (SaaS)
API Access
Yes
AiDOOS Deploy
72 hours

About Data Theorem

Data Theorem is a modern application security platform that provides continuous discovery, security testing, and runtime protection for APIs, cloud-native applications, mobile apps, and AI systems. It helps organizations know their entire application attack surface, including shadow APIs and AI services, and leverages AI-augmented vulnerability scanning and an autonomous AppSec AI Agent to triage and prioritize risks. The platform offers full-stack analysis including SAST, DAST, SCA, and SBOM, and provides real-time active defense against AI-augmented attacks through products like Mobile Protect and API Protect. Data Theorem's solutions are designed for DevSecOps integration, enabling automated security validation within CI/CD pipelines and providing compliance monitoring for standards like SOC 2, HIPAA, and GDPR. With a focus on the AI era, Data Theorem helps secure AI-generated code and provides auto-remediation through Code Patch Central. The platform is used by major enterprises, covering over 2.8 billion users, and has been ranked #1 in Gartner's 2025 Critical Capabilities for Cloud-Native App Security Testing. AiDOOS enhances deployment by offering a structured approach to integrate Data Theorem into engineering workflows, ensuring security keeps pace with development velocity while maintaining a paved road methodology.

Challenges It Solves

  • Shadow APIs and undocumented endpoints are often left unprotected, increasing attack surface.
  • AI-generated code can introduce vulnerabilities that lack proper security review.
  • Security teams struggle to prioritize and validate the vast number of findings from application scans.
  • Runtime protection is needed to block AI-driven attacks that traditional testing cannot stop.

Screenshots

Data Theorem screenshot 1
Data Theorem screenshot 1 Data Theorem screenshot 2 Data Theorem screenshot 3 Data Theorem screenshot 4 Data Theorem screenshot 5 Data Theorem screenshot 6

Use Cases

API Security

Discover and protect all APIs, including shadow APIs, with continuous security testing and runtime defense.

Application Security Testing (AST)

Integrate comprehensive SAST, DAST, and SCA testing into the development lifecycle to catch vulnerabilities early.

AI Security

Secure AI-powered applications and protect against AI-specific threats like prompt injection and model abuse.

Pricing

Custom pricing — built for your team

Data Theorem pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.

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💡 Pricing insight from reviewers: Data Theorem pricing is custom quote-based, typically considered premium but justified by comprehensive features.

Key Features

Continuous Discovery & Attack Surface Mapping

Automatically discovers and maps all applications, APIs, cloud services, and AI assets.

AI-Powered Vulnerability Scanning & Triage

Leverages an AppSec AI Agent to autonomously vet and prioritize findings with natural language queries.

Runtime Protection with Mobile Protect & API Protect

Provides real-time detection and blocking of AI-augmented attacks, including prompt injection and bot attacks.

Full-Stack Security Testing (SAST, DAST, SCA)

Combines static and dynamic analysis with software composition analysis to deeply assess application and API security.

AI Auto-Remediation with Code Patch Central

Generates and applies security fixes automatically, reducing vulnerability exposure times from days to milliseconds.

Compliance Monitoring & Reporting

Continuously monitors for compliance with SOC2, HIPAA, GDPR, OWASP, and other regulations, with one-click audit reports.

What Reviewers Say

What works well

  • Automated discovery of shadow APIs and continuous attack surface reduction.
  • Strong AI-powered features for vulnerability triage and remediation.
  • Recognized as a leader by analysts like Gartner for cloud-native and API security.

Common concerns

  • Pricing transparency is limited; custom quotes required.
  • May be overkill for small organizations with simple needs.

Reviews

None
★★★☆☆
out of 5
By segment
Enterprise100%
E
Enterprise (> 1000 emp.)
"Handy Application Security Tool"
The interface is straightforward to navigate, and it comes with a broad set of capabilities that make it easier to spot vulnerabilities. It would be helpful if we could upload and run scans before a release goes live, but right now that's only possible post-publication. The mobile app spoofing detection is particularly useful—we've already caught several fake versions of our app and successfully got them delisted from the store.

Reviewer Demographics

Top Industries

No data available

Company Size

No data available

Enterprise Readiness

SOC 2 Type II
ISO 27001
FedRAMP
PCI DSS

Identity & Access

SSO Okta, Azure AD, Ping Identity
RBAC Role-based access control with custom roles
Audit Logs 90-day retention

Data Security

At restAES-256
In transitTLS 1.2+
Key mgmtVendor-managed

SLA & Availability

Uptime SLA99.9%
RPO24h
RTO2h
Pen test

Compliance & Portability

Data residencyUS, EU
Data export JSON, CSV
Right to erasure✓ Supported

Integrations

AWS

Discover and protect APIs and cloud assets hosted on AWS.

Native 1-2 hours ⇄ Bi-directional

Azure

Discover and protect APIs and cloud assets hosted on Azure.

Native 1-2 hours ⇄ Bi-directional

GCP

Discover and protect APIs and cloud assets hosted on Google Cloud.

Native 1-2 hours ⇄ Bi-directional

Apigee

Consolidate API inventory from Apigee for unified security monitoring.

Third_Party 1-2 hours ⇄ Bi-directional

Kong

Integrate with Kong gateway to discover and monitor APIs.

Third_Party 1-2 hours ⇄ Bi-directional

GitHub

Integrate with GitHub repos for SAST and supply chain scanning.

Native < 1 hour ⇄ Bi-directional

Slack

Receive alerts and reports in Slack channels.

Third_Party < 1 hour

Jira

Create tickets for vulnerabilities and track remediation.

Third_Party < 1 hour ⇄ Bi-directional

Governance & Compliance

EU AI Act

No data available

Data Processing Agreement

Standard Contractual Clauses DPA available

Sub-processors

Fully disclosed

Right to Erasure

✓ Supported

Change Notifications

30 days notice

NIST AI RMF

No data available

AiDOOS Managed Deployment

Deploy Data Theorem in 72 hours

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

12
Deployments
94%
Adoption rate
4.8/5
Post-deploy sat.
2-4 weeks
Time to value

Prerequisites

  • Active Data Theorem subscription
  • Cloud provider credentials (AWS, Azure, or GCP)
  • API endpoints to scan
  • Admin access for SSO configuration

Configuration Options

  • Cloud discovery configuration
  • API gateway integration
  • SSO integration
  • Alerting and reporting settings

How Data Theorem Compares

Product AI & Analytics Ease of Use Enterprise Features Pricing Integrations Mobile Experience Quick Setup Customer Support Rating Price/mo
Data Theorem This product
Excellent Good Excellent Fair Good Good Good Good $Custom/user
Checkmarx
Good Good Excellent Fair Good Poor Good Good $Custom/user
Veracode
Good Good Excellent Fair Good Poor Good Good $Custom/user
Snyk
Good Excellent Good Good Excellent Poor Excellent Good $Custom/user
Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Data Theorem

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

  • Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
  • Refundable on unused Delivery Units, anytime — no questions asked
  • Re-delivery guarantee on acceptance miss
  • Pre-flight delivery sizing — you see the plan before you commit

How a Virtual Delivery Center delivers Data Theorem

Outcome-based delivery via AiDOOS’s VDC model.  Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning
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Frequently Asked Questions

What types of security testing does Data Theorem provide?
Data Theorem provides SAST, DAST, SCA, SBOM, API security testing, and mobile app testing (iOS and Android) with automated continuous scanning.
How does Data Theorem help with AI security?
Data Theorem's AI security solutions include discovery of shadow AI, prompt injection detection, and protection against AI-driven attacks for apps and APIs.
Can Data Theorem integrate with our existing CI/CD pipelines?
Yes, Data Theorem provides integrations with common developer tools like GitHub, Jira, and Slack, and offers APIs for custom integration into CI/CD workflows.
What compliance standards does Data Theorem support?
Data Theorem helps organizations meet compliance requirements including SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, and CCPA.
Is Data Theorem suitable for large enterprises?
Yes, Data Theorem is designed for large enterprises with features like SSO, RBAC, audit logs, high availability, and scalability.
How can I deploy Data Theorem through AiDOOS?
AiDOOS simplifies deployment of Data Theorem with pre-built integrations, automated setup, and expert support. Typical deployment takes about 72 hours, with full value achieved in 2-4 weeks.

Quick Stats

Rating
12
Deployments
72 hours
Live in
99.9%
Uptime SLA
Deployment Complexity
Moderate (3/5)
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Vendor

Data Theorem
Founded 2013 · 51-200 employees · Palo Alto, California, United States
Verified Vendor

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