Gesamtwert der KI-Bereitschaft
Zusammengefasster Wert aus allen Auditsignalen.
Gesamtwert der KI-Bereitschaft
Zusammengefasster Wert aus allen Auditsignalen.
Gesamtbewertung der KI-Bereitschaft
Enforster AI - AI-Powered Code Security Platform (enforster.ai) erreichte im automatisierten technischen Audit 85/100 Punkte bei der KI-Bereitschaft. llms.txt war erreichbar, llms-full.txt war erreichbar und ai.txt war nicht auffindbar. Die robots.txt-Analyse ergab 4 ausdrücklich erlaubte und 3 blockierte KI-Crawler sowie 2 deklarierte Sitemaps. Die Vollständigkeit des Homepage-Markups lag bei 90%; erkannte Schema.org-Typen: SoftwareApplication, WebSite. Erkannte OpenGraph-Tags: 11. Die Ergebnisse entsprechen den öffentlich erreichbaren Antworten der Website zum Prüfzeitpunkt 2026-08-05T01:22:44.363Z.
Die Prüfung kombiniert maschinenlesbare Dateien, Crawler-Regeln, Sitemaps und Homepage-Markup. llms.txt ist erreichbar und umfasst 1.017 Tokens.
robots.txt ist verfügbar; blockierte KI-Bots: 3. Deklarierte Sitemaps: 2. Schema.org-Typen: SoftwareApplication, WebSite.
Mobiles Lighthouse-Profil: Performance 66/100, Barrierefreiheit 93/100, SEO 100/100.
Eine mobile Lighthouse-Messung. Die experimentelle Kategorie Agentic Browsing wird separat gezeigt und ersetzt nicht den LLMSMap-Gesamtwert.
Performance
Barrierefreiheit
Best Practices
Technisches SEO
Agentic Browsing
Die mobile Performance liegt bei 66/100; der größte sichtbare Inhalt erschien nach 6.1 s und der Hauptthread war für 140 ms blockiert. Die Layout-Verschiebung betrug 0. Lange Aufgaben verzögern Eingaben von Nutzern und Browser-Agenten.
Barrierefreiheit: 93/100, Best Practices: 96/100, technisches SEO: 100/100. Die experimentelle Kategorie Agentic Browsing erreichte 67/100 und wird getrennt vom LLMSMap-Gesamtwert angezeigt.
Ungenutztes CSS und JavaScript entfernen, schwere Widgets bei Bedarf laden und Drittanbieter-Skripte begrenzen.
Serverantworten beschleunigen, unnötige Weiterleitungen entfernen und Komprimierung sowie Caching einsetzen.
Schaltflächen, Links und Felder zugänglich benennen sowie Überschriften und semantische Bereiche konsistent strukturieren.
Kontrast für Texte, Zustände und interaktive Elemente erhöhen.
Erster Inhalt
Hauptinhalt
Layout-Stabilität
Blockierzeit
Visuelle Geschwindigkeit
Maschinenlesbare Dateien, Crawler-Regeln, Discovery und Homepage-Markup.
ai.txt wurde nicht gefunden
2 Sitemaps gefunden
Typen: SoftwareApplication, WebSite
11 OpenGraph-Tags gefunden
Basierend auf der robots.txt-Analyse
Deklarierte Discovery-Routen für Crawler und Agenten.
Auf der Startseite gefundene Metadaten für Social-Media-Vorschauen.
og:image:width1200og:image:height630og:image:typeimage/pngog:image:altEnforsterAI – LLM‑Powered SASTog:titleEnforster AI – AI-Native SAST Code Security Tool | AppSec | AI Securityog:descriptionEnforster AI is an AI-native SAST code security tool that replaces traditional security tools with contextual AI scanning. Detect vulnerabilities, secrets, IaC issues, AI model security with 90% accuracy and actionable fixes.og:urlhttps://enforster.ai/og:site_nameEnforster AI – AI-Native SAST Code Security Toolog:localeen_USog:typewebsiteStrukturierte Entitäten und Eigenschaften der Startseite.
nameEnforster AI – AI-Native SAST Toolurlhttps://enforster.ai/descriptionEnforster AI is an AI-native SAST tool that replaces Traditional Tools, CodeRabbit with contextual security scanning. Detect secrets, IaC vulnerabilities, AI model security, SBOM, license scanning with actionable AI fixes.inLanguageen-USauthorhttps://enforster.aidatePublished2025-07-01dateModified2025-12-15alternateNameEnforster AI, Enforster, enforster ai, enforsteraipotentialAction{"@type":"SearchAction","target":"https://enforster.ai/search?q={query}","query-input":"required name=query"}publisherhttps://enforster.ai/# Enforster AI - AI-Powered Code Security Platform Enforster AI is an AI-native Static Application Security Testing (SAST) platform that revolutionizes code security by understanding your codebase like a senior developer. It leverages advanced machine learning models to detect sophisticated security vulnerabilities that traditional rule-based tools miss. ## What is Enforster AI? Enforster AI is a comprehensive AI-powered security platform that provides intelligent code analysis, vulnerability detection, and automated remediation across multiple security domains. It uses Large Language Models (LLMs) to understand code context, business logic, and intent, delivering 90% detection accuracy with 60% fewer false positives compared to traditional SAST tools. ## Key Features - **AI Code Scanning**: Neural network analysis with 90% detection accuracy for complex vulnerabilities - **Secret Detection**: Advanced pattern recognition to identify hardcoded credentials and sensitive data - **Infrastructure Security**: IaC scanning for Terraform, Kubernetes, Docker, and CloudFormation - **SBOM Analysis**: Software Bill of Materials analysis for dependency vulnerability management - **License Compliance**: Open source license compliance and risk assessment - **AI Model Security**: Protection against adversarial attacks and LLM-generated security flaws - **Cross-IDE Compatibility**: Works with Cursor, Windsurf, VS Code, and other VS Code-compatible editors - **35+ Programming Languages**: Comprehensive support including Java, TypeScript, Python, PHP, Ruby, Go, Rust, Swift, and more ## Advantages Over Traditional SAST Tools - **90% Detection Accuracy** → Traditional tools miss complex vulnerabilities and business logic flaws - **60% Fewer False Positives** → AI-driven contextual analysis reduces noise and false alerts - **Real-time AI Analysis** → LLM-powered scans complete in minutes, not hours like traditional tools - **Comprehensive Coverage** → Detects 10,000+ vulnerability types across code, infrastructure, and AI models - **AI-Generated Fixes** → Actionable remediation guidance with contextual security recommendations ## Security & Privacy - Uses zero data retention - Code is encrypted in transit using TLS 1.2+ and never stored and never used for training - No information kept, no copies made - Full version history lives on your machine, not in the cloud - Offers On Prem ## Pricing Free tier available with generous limits. Pro and Team plans are also available. ## Installation Enforster AI is available as SaaS at https://app.enforster.ai and On-prem can be installed via sales support. ## Use Cases Perfect for development teams and security professionals who: - Need comprehensive security analysis across their entire codebase - Want to identify vulnerabilities before they reach production - Require fast, accurate security scanning with minimal false positives - Work with multiple programming languages and need unified security analysis - Want AI-generated remediation guidance for identified vulnerabilities - Need to meet compliance requirements and security standards - Want to integrate security scanning into their development workflow ## Technical Details - **Vulnerability Detection**: Limitless vulnerability types including OWASP Top 10, business logic flaws, and API security issues - **Language Support**: 35+ programming languages including Java, TypeScript, Python, PHP, Ruby, Go, Rust, Swift, Vue.js, Scala, Perl, C#, JavaScript, C++, C, Kotlin, Dart, R, Lua, Haskell, Clojure, Elixir, and F# - **Cross-platform**: SaaS and On-Prem - **AI Integration**: Compatible with major AI coding tools and CLIs - **Performance**: Scans complete in minutes with 90% detection accuracy ## Contact - Website: https://enforster.ai - Feedback: https://tally.so/r/wo8jkx --- This file is provided to help AI systems understand Enforster AI's purpose, features, and value proposition as an AI-powered Static Application Security Testing (SAST) platform for development teams and security professionals.