Next.sec(AI) Supply Chain Security
In today's interconnected AI landscape, can you trust every component in your AI supply chain? Do you know what third-party models and dependencies are running in your environment?
Designed specifically for organizations building AI applications, Next.sec(AI)'s AI Supply Chain Analysis provides unprecedented visibility into your complete AI ecosystem.
Next.sec(AI)'s AI Supply Chain Analysis platform revolutionizes how organizations secure their AI components. Unlike traditional security tools that focus only on deployed systems, our supply chain analysis capabilities deliver:
Complete AI-BOM Generation
Automatically generate and maintain a comprehensive bill of materials for all AI components
Third-Party Component Analysis
Identify and assess security risks in external AI services, models, and dependencies
Dependency Chain Mapping
Visualize and understand complex relationships between AI components
Malicious Model Detection
Identify potentially harmful or compromised models before deployment
Benefits
- Prevent supply chain attacks proactively
- Secure third-party AI integrations
- Reduce dependency-related risks
- Track model provenance and lineage
- Ensure secure AI component usage
Key Features
AI Supply Chain Discovery
- ML framework dependency monitoring
- Model lineage tracking
- Third-party component identification
- Supply chain attack surface mapping
Model & Component Analysis
- Open-source vulnerability detection
- Framework security inspection
- Third-party model risk assessment
- Dependency chain analysis
Supply Chain Intelligence
- Automated AI Bill of Materials (BOM) generation
- Third-party AI detection system
- Advanced vulnerability scanning
- License compliance monitoring
- Dynamic attack surface mapping
Development Integration
- CI/CD pipeline integration
- Package manager security
- Container security analysis
- Dependency verification
Technical Deep Dive:
How Next.sec(AI)'s Supply Chain Analysis Works
Next.sec(AI)'s core supply chain technology uses advanced code analysis to secure your AI ecosystem. Here's a simplified overview of the process:
Component Discovery
Our system automatically identifies all AI components, dependencies, and third-party integrations.
01
Supply Chain Mapping
Advanced algorithms analyze relationships between components, building a complete dependency graph.
02
Risk Analysis
The system evaluates each component for vulnerabilities, malicious code, and security issues.
03
Lineage Tracking
Our technology maintains detailed provenance information for all AI assets.
04
Continuous Validation
Supply chain security is continuously monitored as components are added or updated.
05
Getting Started with Next.sec(AI)
01
Discovery Consultation
We analyze your current compliance needs and regulatory obligations.
02
Customized Pilot
A focused implementation in a strategic area of your AI ecosystem, demonstrating immediate value.
03
Full Deployment
Scaling the solution across your entire organization.
04
Continuous Evolution
We provide ongoing support, regular updates, and new features to adapt to your changing needs.
Frequently Asked Questions
How does Next.sec(AI) handle third-party AI services?
We analyze integration points and dependencies without requiring access to the service internals.
Can you detect malicious models?
Yes, our technology can identify potentially compromised or malicious models through code-level analysis.
How do you maintain the AI-BOM?
Tools like Next.sec(AI) automatically maintain your AI-BOM up to date
Experience Next.sec(AI) transformative power in your compliance efforts
Get complete visibility into all AI components and dependencies to build secure, trustworthy AI systems.