Sysdig AI Workload Security vs Witness AI for Developers: Side-by-Side Comparison (2026)

Sysdig AI Workload Security

Enterprise security teams deploying multiple generative AI models across cloud platforms need visibility into AI-specific attack paths and shadow AI instances that standard container security tools ignore, and Sysdig AI Workload Security is built specifically for that gap. The platform covers NIST ID.AM, DE.CM, and DE.AE functions across OpenAI, Bedrock, Anthropic, and Vertex AI simultaneously, mapping both static package vulnerabilities and runtime manipulation attempts in a single inventory. Skip this if your AI workloads are still in pilot phase or confined to a single cloud provider; the ROI only clicks when you're managing dozens of models across environments.

Witness AI for Developers

Development teams shipping code through AI assistants need Witness AI for Developers to stop proprietary code leaks and prompt injection attacks before they reach production. The platform operates at the network level without SDK requirements, meaning you catch threats across GitHub Copilot, Cursor, and custom agents without forcing developers through friction-heavy integrations. Skip this if your primary concern is post-deployment LLM monitoring; Witness AI prioritizes real-time prevention during the coding phase, not compliance audits of model outputs downstream.