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AI Model Scanning with OpsMx Delivery Shield
OpsMx Delivery Shield extends ModelScan to secure AI/ML artifacts—adding trojan detection, auto MBOMs, CI/CD gates, and one-click remediation.
OpsMx Delivery Shield integrates with ModelScan to secure AI/ML models across the SDLC. It enables malware detection, SBOM/MBOM generation, policy-based CI/CD gating, and drift remediation helping teams to quickly detect, quarantine, and fix risky models.
AI Model Key Features
Multi-format coverage
Scans PyTorch, TensorFlow, ONNX, Sklearn, XGBoost, and more
Trojan & malware detection
Static + heuristic analysis of serialized bytecode
Auto-generated MBOM/SBOM
Full dependency and license inventory for every model
Policy-driven CI/CD gates
Block, warn, or auto-quarantine risky artefacts in any pipeline
Drift & version diffing
Detect unexpected weight or metadata changes post-deployment
One-click remediation playbooks
Guided re-training, rollback, or isolation actions
Centralized dashboards & audit trails
Evidence for SOC 2, ISO 27001, NIST AI RMF
Flexible integrations
GitHub, GitLab, Jenkins, Argo CD, Spinnaker, MLflow, SageMaker, Vertex AI
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AI Model Key Benefits
Prevents hidden threats
Catches trojans, malware, and poisoned weights before models reach production.
Automates compliance
Instant SBOM/MBOM generation and license checks slash audit effort.
Shift-left security
CI/CD gating halts risky artefacts early, avoiding costly rework and outages.
Faster investigations
Unified dashboards and AI-driven risk scores cut triage time for SecOps and MLOps teams.
One-click fixes
Guided remediation playbooks speed rollback, re-training, or quarantine actions.
Seamless integration
Plugs into GitHub, GitLab, Jenkins, Argo CD, Spinnaker, MLflow, SageMaker, and more.
Continuous integrity
Drift and version diff alerts ensure deployed models stay tamper-free.
Regulatory readiness
Built-in evidence trails align with NIST AI RMF, SOC 2, and ISO 27001 requirements.
Resources for AI Model
Datasheet: AI Model Scanning with OpsMx
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Blog: How to secure AI Models with OpsMx Delivery Shield
Read NowCapabilities of OpsMx in Securing AI/ML Models
OpsMx Delivery Shield safeguards LLMs, models, and AI agents across the pipeline with continuous scanning and policy enforcement. It detects risks early and blocks unsafe deployments before reaching production.
AI Discovery & Shadow AI Detection
Automatically detects every model, dataset, and prompt across source, registry, and runtime, building complete MBOM/PBOM/DBOM lineage.
AI Security Posture Management (AISPM)
Visualize and assess the risk of all AI assets. Gain contextual insights from model metadata, usage, and lineage.
Supports AI Red Teaming
Simulates adversarial prompts and jailbreak attempts to validate model robustness and uncover potential exposures.
Runtime Defense
Detects and prevents misuse at runtime using dynamic policies, behavior analysis, and LLM firewalls.
Agentic AI Security
Support proactive, reactive, and detective security controls and policies to safeguard agentic AI systems, LLMs, and ML models.
Automated Remediation
Respond to violations with AI-assisted remediation, using risk-informed decisions and GenAI-generated runbooks.
Built on Leading Open Source Security Tools
