Score global de préparation IA
Résultat combiné de tous les signaux de l’audit.
Score global de préparation IA
Résultat combiné de tous les signaux de l’audit.
Évaluation globale de préparation IA
Enforster AI - AI-Powered Code Security Platform (enforster.ai) a obtenu 85/100 lors de l’audit technique automatisé de préparation à l’IA. llms.txt était accessible, llms-full.txt était accessible et ai.txt était introuvable. L’analyse de robots.txt a trouvé 4 robots IA explicitement autorisés, 3 bloqués et 2 sitemaps déclarés. La complétude du balisage de la page d’accueil atteint 90% ; types Schema.org détectés : SoftwareApplication, WebSite. Balises OpenGraph détectées : 11. Les résultats correspondent aux réponses publiques observées le 2026-08-05T01:22:44.363Z.
L’audit combine les fichiers lisibles par les machines, les règles des robots, les sitemaps et le balisage de la page d’accueil. llms.txt est accessible et contient 1 017 jetons.
robots.txt est disponible ; robots IA bloqués : 3. Sitemaps déclarés : 2. Types Schema.org : SoftwareApplication, WebSite.
Profil Lighthouse mobile : performance 66/100, accessibilité 93/100, SEO 100/100.
Une mesure Lighthouse mobile. La catégorie expérimentale Agentic Browsing est présentée séparément et ne remplace pas le score global de LLMSMap.
Performance
Accessibilité
Bonnes pratiques
SEO technique
Agentic Browsing
La performance mobile est de 66/100 ; le plus grand contenu visible est apparu en 6.1 s et le thread principal a été bloqué pendant 140 ms. Le décalage de mise en page est de 0. Les tâches longues retardent les actions des utilisateurs et des agents de navigateur.
Accessibilité : 93/100, bonnes pratiques : 96/100, SEO technique : 100/100. La catégorie expérimentale Agentic Browsing atteint 67/100 et reste distincte du score global de LLMSMap.
Supprimez le CSS et le JavaScript inutilisés, chargez les widgets lourds à la demande et limitez les scripts tiers.
Améliorez la réponse du serveur, retirez les redirections inutiles et utilisez la compression et le cache.
Nommez clairement boutons, liens et champs et structurez les titres et régions sémantiques.
Renforcez le contraste des textes, états et éléments interactifs.
Premier contenu
Contenu principal
Stabilité visuelle
Temps de blocage
Vitesse visuelle
Fichiers lisibles par les machines, règles des robots, découverte et balisage de la page d’accueil.
Le fichier ai.txt est introuvable
2 sitemaps trouvés
Types : SoftwareApplication, WebSite
11 balises OpenGraph trouvées
D’après l’analyse de robots.txt
Parcours de découverte déclarés pour les robots et les agents.
Métadonnées d’aperçu social détectées sur la page d’accueil.
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:typewebsiteEntités et propriétés structurées exposées sur la page d’accueil.
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.