LiteLLM Supply Chain Compromise: When Your AI Dependency Becomes an Attack Vector
PrismDiscovery™ Unified SBOM & AIBOM Intelligence Platform
Gain Full Visibility into software dependencies, AI components, vulnerabilities, and compliance risks, enabling organizations to manage modern supply chain and AI risks with confidence.
the challenge
Modern Applications Have Two Hidden Risk Layers Across Software Dependencies and AI Components
Limited Visibility into Software Dependencies
Organizations struggle to track transitive dependencies, vulnerabilities, and license risks across complex codebases.
Untracked AI Component Usage
AI SDKs, APIs, and models are often embedded in code without clear visibility or governance.
Shadow AI and Hidden Infrastructure
Local models, vector databases, and AI services operate without centralized tracking.
Fragmented Risk Assessment
Software risks and AI risks are evaluated separately, leading to incomplete security and compliance views.
Regulatory and Compliance Pressure
Growing expectations around SBOM, AI transparency, and regulations like the EU AI Act increase reporting complexity.
Lack of Unified Intelligence
Traditional tools provide partial insights, leaving organizations without a complete view of their technology stack.
Our Approach
PrismDiscovery™ analyzes a single codebase through two integrated engines, delivering unified visibility across both software supply chains and AI infrastructure.
Repository Ingestion
Analyze code from repositories, local directories, or packaged files with optional secure access.
SBOM Generation
Identify all software dependencies, including direct and transitive components, enriched with vulnerability and license data.
AIBOM Discovery
Detect AI components such as SDKs, APIs, models, embeddings, and vector databases through deep source code analysis.
Dependency Mapping and Enrichment
Build detailed dependency graphs and enrich them with metadata, model information, and lifecycle status.
Unified Reporting and Intelligence
Deliver structured outputs that combine SBOM and AIBOM insights for security, compliance, and governance use.
Service Offerings
Our PrismDiscovery™ Delivers Comprehensive SBOM and AIBOM Intelligence Across Modern Applications
Identify dependencies, versions, licenses, vulnerabilities, and end-of-life components across codebases.
Detect AI SDKs, APIs, models, vector databases, and AI infrastructure components.
Enrich components with CVEs, security risks, and remediation insights.
Trace where AI components are used and how they interact within the application.
Monitor model usage, deprecation status, and provider dependencies.
Generate outputs in JSON, SPDX, CycloneDX, and structured AI inventory formats.
BENEFITS
SISA’s PrismDiscovery™ Helps You Build Transparency Across Software and AI Ecosystems
Complete Component Visibility
Gain a unified view of all software dependencies and AI components across your codebase, reducing blind spots in supply chain and AI usage.
Stronger Supply Chain Security
Identify vulnerable packages, outdated components, and license risks to support secure development and patch prioritization.
AI Governance and Risk Control
Track AI usage, detect shadow AI, and monitor model lifecycle to support responsible AI deployment.
Regulatory and Compliance Readiness
Support SBOM requirements and AI governance frameworks with structured, auditable outputs.
Improved Decision-Making
Enable security, DevSecOps, and governance teams to make informed decisions based on unified component intelligence.
WHY SISA
Why Organizations Choose PrismDiscovery™ from SISA
Unified SBOM and AIBOM Platform
Combines software supply chain intelligence and AI component discovery in a single solution.
Deep Code-Level Analysis
Uses both manifest parsing and source code scanning to detect dependencies and AI usage accurately.
AI-Specific Visibility and Governance
Identifies AI infrastructure, models, and usage patterns that traditional tools cannot detect.
Standards-Aligned and Future-Ready
Supports SBOM standards like SPDX and CycloneDX while enabling emerging AI governance requirements.
Actionable Risk Intelligence
Provides vulnerability insights, remediation guidance, and lifecycle tracking for both software and AI components.
Designed for Modern Development Environments
Built to support complex, AI-driven applications with scalable and efficient analysis capabilities.
