Global Aviation Leader  Secures AI Workflows Against Supply Chain Attacks

Challenges

• Uncontrolled AI Agent Sprawl Across Three Clouds
  40+ AI agents running across AWS Bedrock, Azure AI Foundry, and Copilot Studio with no unified visibility, behaviour discovery, or runtime controls.
• Production LLMs Exposed to Adversarial Attacks
  SOC, SRE, FinOps, and DevOps agents running in production had zero guardrails against prompt injection, hallucination, abuse, and evolving threat tactics.
• Multi-Cloud AI Misconfiguration
  ML workspace governance gaps, public notebook exposure, and critical CVEs in AKS clusters (CVE-2023-24301) with no single platform to correlate risks.
• No Compliance Posture for AI Regulations
  Zero systematic tracking against OWASP LLM Top 10, NIST AI RMF, ISO 42001, or EU AI Act across sensitive aviation data flows.

Solutions

• AI Asset Inventory: Auto-discovered 40 shadow Copilot agents and 1,500+ ML models, eliminating shadow AI overnight.
• Prompt Firewall: Real-time LLM-as-a-judge inspection via Azure APIM and AWS API Gateway with session context.
• Automated Red Teaming: Continuous scanning of AI workloads across injection, toxicity, and model extraction.
• Agent Behaviour Sandboxing: eBPF-based runtime controls on AKS blocking unsafe tool usage and unauthorised outbound traffic.
• AI Detection & Response (AI-DR): Automated remediation workflows for public notebook exposure and unauthorised model changes.
• AI Compliance Posture: Mapping across 25+ frameworks, including ISO 27001, NIST AI RMF, and the EU AI Act.

“AccuKnox gives us the protection we need for our cloud AI infrastructure, while ensuring our agents and models remain secure against emerging threats.”

Global Airline

Head of Cloud & AI Security