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Generative AI & LLM Protection

AppSec
in the AI Era

Think Like an AI Attacker. Move at AI Speed. One platform to discover real exploits, stop AI-driven attacks in real time, and automatically remediate vulnerabilities across mobile apps and APIs.

Stage 1: Discovery

AI Discovery
AI-Exploits

Find what attackers will exploit. Before they do.

  • check_circle Reverse engineers binaries and compiled apps without source code
  • check_circle Dynamically tests apps and APIs with deep runtime analysis
  • check_circle Pinpoints exploitable vulnerabilities, not just theoretical risks
  • check_circle Generates real proof-of-concept payloads
  • check_circle Chains attack primitives to simulate real-world breaches
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Shadow AI & Repositories Discovery RadarContinuous corporate gateway &
source host scan active
Scanner Online
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GPT-4OSANCTIONED LLM
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ALERT: CLAUDE 3.5SHADOW AI DETECTED
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LLAMA 3.1PENDING EVALUATION
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github.com/app/prodSANCTIONED CODE REPO
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ALERT: SHADOW REPOgitlab/copilot-dev
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ai-sandboxPENDING COMPLIANCE
smart_toyBOT: GPT-4O
languageNORMAL USER
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Automated AppSec Chat AgentVetting findings in real time
Live Agent
What's the most critical API vulnerability discovered in the last 24 hours?
Stage 2: Triage & Prioritization

Triage and Prioritize
with the AppSec Agent

Eliminate the noise. Focus exclusively on active, reachable, and exploitable risks.

  • check_circle Autonomous vetting and classification of findings in seconds
  • check_circle Filters theoretical scan alerts by verifying true network and runtime reachability
  • check_circle Maps vulnerabilities directly to target compliance policies (SOC2, OWASP)
  • check_circle Minimizes manual review workloads allows engineers to focus on real business logic
  • check_circle Continuous intelligence feed that scales natively across all application assets
Stage 3: Defense

Active Protection

Detect and block runtime AI Augmented cyber attacks against mobile apps and APIs.

12:45 PM
5G
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SECUREDRuntime Active
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Mobile Protect
Enclave Active
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Mobile Protect

  • check_circle AI-driven attack path mapping
  • check_circle Prompt injection detection
  • check_circle Memory scraping and data exfiltration defense
  • check_circle Protection against AI-generated tampering
  • check_circle Continuous runtime protection
cloudAPI Defense
Live
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Monitoring traffic...monitoring
Blocked Bot Attacks1840
cloud

API Protect

  • check_circle Prompt injection and LLM abuse detection
  • check_circle AI scraping defense (OpenAI, DeepSeek, ByteDance)
  • check_circle AI-driven error pattern recognition
  • check_circle Password spraying and login automation prevention
  • check_circle Behavioral detection at scale
Stage 4: Auto-Remediation

AI Auto-Remediation
with Code Patch Central

Fix vulnerabilities at the speed of development and secure open source supply chains instantly.

  • bolt Native MCP (Model Context Protocol) support for AI-enabled IDEs
  • bolt Developer-first CLI workflows and APIs built for LLM-driven remediation
  • bolt Continuous scan and patch engine for open source supply chains
  • bolt Real-time context-aware patches to secure actively exploitable files
  • bolt Reduces zero-day vulnerability exposure times from days to milliseconds
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Centralized Safety Management

Code Patch Central bridges local IDE environments and centralized CI/CD pipelines to deploy instant hotfixes without manual intervention.

Dev Commit

Code checked in

Scan Detected

Vulnerability found

AI ENGINE

AI Secure Fix

Analyzer patch

AUTO PATCH

Auto Secure PR

Fix merged automatically

Continuous Remediation Loopmonitoring

Ready to secure
your AI-powered future?

Join leading enterprises that trust Data Theorem to protect their most innovative applications and data.

Schedule an Overview AI Security Solutions Brief