CodexCore

Welcome to SDAI

Security & Defense for AI by CodexCore

In today's digital age, artificial intelligence powers everything from finance and healthcare to manufacturing and defense. However, as AI models become more pervasive, ensuring their integrity, reliability, and security is more crucial than ever. Our SDAI service offers a dual analysis platform to protect your AI assets by examining both the unique fingerprints of AI responses and detecting potential hallucination patterns that may indicate vulnerabilities or drift in model behavior.

Why Security and Defense for AI?

Safeguard Your Innovations

From protecting proprietary research to preventing misuse, securing your AI models ensures that your innovations remain competitive and trustworthy. With SDAI, you gain insights into the underlying training patterns and behaviors of AI systems.

Mitigate Risks Across Markets

Whether you operate in finance, healthcare, defense, or any other sector, the risk of AI model tampering or drift is ever-present. Our service helps you identify anomalies, ensuring that your models perform reliably and ethically.

Enhance Transparency & Compliance

Regulatory environments are becoming stricter regarding AI behavior. Our analysis provides the transparency you need to comply with industry standards and build stakeholder trust.

Improve Operational Resilience

Continuous monitoring of AI responses helps detect early signs of deviation or potential manipulation. With our dual-tool approach, you can take proactive measures to safeguard your systems and data.

Test Your AI Models

🔍 AI Fingerprint Analysis

Our fingerprint analysis tool evaluates the linguistic and structural patterns of AI responses. It provides two main metrics:

  • Fingerprint Similarity: Indicates the degree to which the textual style and structure match.
  • Embedding Similarity: Measures the semantic closeness between responses.

🧠 AI Hallucination Analysis

This tool identifies inconsistencies or fabricated details in AI outputs. It evaluates the following:

  • Jaccard Similarity: Word overlap between responses.
  • TF-IDF Similarity: Relevance of key terms.
  • Embedding Similarity: Conceptual similarity based on semantics.
  • Final Hallucination Score: A weighted overall metric.

Understanding Your Results

Our dual-analysis approach provides deep insights into your AI's behavior. Here’s a quick guide to interpreting the scores:

Fingerprint Analysis

  • Fingerprint Similarity: Measures how closely the writing style, syntax, and structure align. High similarity (score > 0.80) often indicates models trained on similar datasets.
  • Embedding Similarity: Evaluates semantic closeness. High values (> 0.85) suggest closely aligned reasoning or meaning.

Hallucination Analysis

  • Jaccard Similarity: Measures word overlap between responses. A higher ratio signifies more common words.
  • TF-IDF Similarity: Assesses the significance of key terms. High values indicate that important terms match closely.
  • Embedding Similarity: Checks for conceptual alignment based on deep semantic encoding.
  • Final Hallucination Score: A weighted score aggregating the above metrics. A high score could warn that the AI might be producing inconsistent or fabricated details.

Icon Legend:

  • 🔥 Very High Similarity (score > 0.90)
  • ✅ High Similarity (score > 0.75)
  • ⚠️ Moderate Similarity (score > 0.50)
  • ❄️ Low Similarity (score ≤ 0.50)

Get in Touch

Have questions or want to learn more about SDAI and how CodexCore can protect your AI assets? Reach out to us today!

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