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Enterprise AI Infrastructure

Epistemic Context Infrastructure for Enterprise AI

Detection, analysis, and integration services for AI systems that require understanding of information topology. Aegis Insight provides the epistemic layer that transforms retrieval-augmented generation from content matching into context-aware intelligence.

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The Challenge

Enterprise AI systems face systematic vulnerabilities that traditional security approaches cannot address

Data Poisoning Attacks

Coordinated injection of misleading content into training data sets and retrieval databases. Adversaries exploit the scale of modern systems to insert systematic biases undetectable at the individual document level.

Manufactured Consensus

Multiple sources presenting coordinated narratives create an illusion of independent verification. Standard RAG systems cannot distinguish earned consensus from orchestrated agreement, amplifying synthetic positions.

Suppression Blindness

Systematic exclusion of credentialed dissent from citation networks. AI systems trained on these gaps inherit institutional blind spots, presenting incomplete pictures as comprehensive analyses.

No Epistemic Immune System

Current AI architectures optimize for relevance and recency without structural analysis of source relationships. The result: systems highly capable at retrieval but fundamentally naive about information integrity.

Platform Capabilities

A comprehensive detection and analysis framework for epistemic topology mapping

01

Suppression Detection Engine

Identifies systematic marginalization of credentialed sources through citation void analysis, credential-claim inversion detection, and temporal exclusion pattern recognition. Surfaces high-authority voices that institutional filters have removed from discourse.

  • Citation void mapping
  • Credential-claim alignment scoring
  • Temporal exclusion analysis
  • Authority domain classification
02

Coordination Analysis Module

Detects manufactured consensus through temporal clustering analysis, linguistic fingerprinting, and citation cartel identification. Distinguishes organic agreement from orchestrated campaigns through network topology signatures.

  • Temporal burst detection
  • Language similarity clustering
  • Citation cartel identification
  • Source independence verification
03

Anomaly Detection Framework

Identifies statistical outliers in knowledge graphs that may indicate suppressed connections, artificial boundaries, or unexplained discontinuities. Cross-cultural pattern analysis reveals information that appears in some contexts but is systematically absent in others.

  • Cross-cultural gap analysis
  • Statistical outlier detection
  • Discontinuity mapping
  • Boundary anomaly flagging
04

Goldfinger Scoring System

Non-linear threshold system that combines multiple weak signals into strong indicators. Named for the intelligence principle: "Once is happenstance, twice is coincidence, three times is enemy action." Calibrated against historical ground truth.

  • Multi-signal fusion
  • Non-linear threshold curves
  • Historical validation benchmarks
  • Confidence interval reporting
05

Calibration & Profile Management

Domain-specific detection profiles with tunable thresholds. Different epistemic environments require different sensitivities: academic gatekeeping differs from state-level suppression differs from commercial astroturfing.

  • Domain-specific profiles
  • Threshold configuration
  • Sensitivity tuning
  • False positive management
06

Seven-Dimensional Extraction

LLM-powered extraction pipeline that captures claims, entities, temporal markers, geographic references, citations, emotional framing, and authority domains from source documents. Creates the rich substrate required for topology analysis.

  • Claim extraction & typing
  • Entity resolution & linking
  • Temporal-geographic mapping
  • Authority domain classification

Architecture

A two-stage pipeline: semantic retrieval surfaces relevant content, epistemic analysis exposes structural context

Aegis Insight System Architecture

Data Ingestion Layer

Document processing pipeline supporting PDF, HTML, plaintext, and structured data formats. Chunking strategies optimized for epistemic extraction with configurable overlap and boundary detection.

Extraction Layer

Local LLM processing via Ollama (mistral-nemo, qwen, or custom models). Seven-dimensional extraction with configurable prompts and validation rules. Checkpoint/resume capability for large corpus processing.

Storage Layer

Dual-store architecture: Neo4j knowledge graph for topology and relationships, PostgreSQL with pgvector for semantic embeddings and similarity search. Entity resolution and coreference handling.

Detection Layer

Configurable detection algorithms with domain-specific calibration profiles. Non-linear signal fusion via Goldfinger scoring. Comprehensive result attribution and confidence reporting.

Interface Layer

REST API for programmatic access, MCP endpoints for AI system integration, web interface for interactive analysis and administration. Full OpenAPI specification available.

Integration Options

Flexible deployment models designed for enterprise requirements

Recommended

MCP Protocol Integration

Model Context Protocol endpoints enabling direct integration with Claude, custom AI assistants, and LLM-powered applications. Query epistemic context alongside standard retrieval.

Protocol MCP 1.0
Latency < 200ms
Auth Token-based

REST API

Full-featured REST API with OpenAPI 3.0 specification. Supports all platform capabilities including search, detection queries, and administrative functions.

Spec OpenAPI 3.0
Format JSON
Auth API Key / OAuth

On-Premises Deployment

Containerized deployment via Docker Compose or Kubernetes. All processing remains within your infrastructure. Suitable for air-gapped environments with sensitive data sets.

Container Docker / K8s
GPU NVIDIA CUDA
Data Fully Local

Technical Resources

Documentation, specifications, and implementation guides

API Specification

OpenAPI 3.0 specification for REST endpoints

PDF / YAML

Architecture Guide

System architecture and deployment topologies

PDF

Integration Guide

Step-by-step MCP and REST integration

PDF

Validation Methodology

Historical ground truth and benchmark results

PDF

Calibration Profiles

Domain-specific detection configuration

JSON / PDF

Deployment Scripts

Docker Compose and Kubernetes manifests

GitHub

Engagement Models

Consulting and implementation services tailored to your requirements

Start a Conversation

Discuss your epistemic infrastructure requirements and explore how Aegis Insight can strengthen your AI systems against information manipulation.

Email contact@cedrusstrategic.com

Aegis Insight builds on Eleutherios, the open-source epistemic defense infrastructure.