Complete AI Security Arsenal
18 powerful features designed to protect every layer of your AI/ML infrastructure. From vulnerability scanning to compliance reporting, everything you need is here.
AI/ML-Specific Vulnerability Scanner
Scans TensorFlow, PyTorch, JAX, scikit-learn, XGBoost, ONNX, MLflow and AI libraries like Transformers, LangChain, vector DBs for CVEs and misconfigurations.
AI BOM & SBOM Intelligence
Generates and ingests AI BOM/SBOM from requirements.txt, package.json, pom.xml, Docker/Kubernetes, and builds dependency graph of all AI components.
Container & Registry Security Scanning
Complete container image scanning across Docker Hub (docker.io), Amazon ECR (*.dkr.ecr.*.amazonaws.com), Google Container Registry (gcr.io), Azure Container Registry (*.azurecr.io), and private registries. Analyzes local images built with docker build, pulled images, running containers, and CI/CD pipeline images from Jenkins/GitHub Actions. Supports Kubernetes deployments and Docker Compose stacks.
Dual-Engine AI Security (Llama + GPT-4o)
Fast, cheap engine for bulk CVE scans + deep reasoning engine for complex AI supply chain and architecture analysis, auto-routed per task for cost/accuracy balance.
Model Poisoning & Data Pipeline Risk Detection
Detects risks from untrusted pre-trained models, risky datasets, backdoor patterns, and MLOps pipeline injection points.
LLM & RAG Security Scanner
Tests for prompt injection, jailbreaks, data exfiltration, insecure RAG pipelines, API key exposure, and unsafe tool/function-calling usage.
CERT-In & India-First Compliance Engine
Maps findings to CERT-In directives, Indian IT Act expectations, incident reporting timelines, and generates regulator-ready reports for Indian sectors.
Risk Scoring & Executive Reporting
Risk scores per system/model/pipeline, executive summaries + deep technical reports, exportable for GRC and board usage.
DevSecOps & MLOps Integration
Integrates into CI/CD (GitHub Actions, GitLab, Jenkins) and MLOps (MLflow, Kubeflow, SageMaker, Azure ML) to shift-left AI security.
India-Focused, Tier-3-Friendly Design
Rupee-based pricing, support for startups/MSMEs, community edition, and focus on job creation and adoption in tier-2/tier-3 cities.
Real-Time Continuous Security Monitoring
Always-on monitoring for new CVEs affecting your AI BOM and behavioral anomaly detection with instant alerts and automated responses.
Proactive Threat Hunting & Vulnerability Prediction
Predictive models to forecast likely vulnerable components, zero-day-like risk detection, and external attack surface monitoring for AI endpoints.
Multilingual Security Platform (Bharat-First)
UI, alerts, reports, and training content in 11+ Indian languages (Hindi, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi, Odia, Assamese), with voice briefings and BHASHINI integration.
Hybrid Multi-Cloud Architecture (AWS + Azure)
On-demand training of Llama on AWS GPU, cheap 24/7 inference on CPU instances, plus serverless GPT-4o on Azure for deep analysis to achieve 98% infrastructure cost savings.
Fine-Tuned Models on Indian Data
Periodic fine-tuning on Indian CERT-In advisories and local threat intelligence so models understand Indian tech stacks and incident patterns.
Government & Defense-Grade Options
Design for on-prem/air-gapped deployments, AWS GuardDuty integration, and alignment with Indian critical infrastructure security standards.
Universal Multi-Language SBOM Parsing
Support for Python, JavaScript/TypeScript, Java, Go, Rust, Ruby, C/C++, C#, R, Scala, PHP plus 20+ package managers, containers (Docker/Kubernetes), cloud formats (Lambda/Functions), and AI-specific formats (TensorFlow/PyTorch/ONNX models, MLflow/Kubeflow configs).
Model Provenance Tracking
Track and verify the origin, lineage, and authenticity of AI models throughout their lifecycle with cryptographic verification and tamper-proof audit trails.
See All Features in Action
Schedule a personalized demo to see how Nexula can protect your AI infrastructure.