July 31, 2023

MLSecOps

Recently, PyTorch and TensorFlow had new CVEs released that could facilitate classic cyber attacks such as denial of service and buffer overflow exploits. When one considers how prevalent these two frameworks are in MLOps pipelines one easily grasps the potential opportunity for attackers to hit a company in a new, unexpected realm: ML pipelines and AI systems.

This is why we are building products to protect you against these new risks, using tools that are optimized for AI/ML practitioners, while contextualizing the security needs familiar to cybersecurity professionals.

AI Zero Days: Why we need MLSecOps, now, Protect AI

Funding

Frigade, a tool that helps developers build product onboarding tours with native SDKs and an API, raised $3m in Seed funding.

HumanFirst, a platform that provides infrastructure, APIs and workflows to transform unstructured conversational data into NLU training data and models, raised $3.8m in Seed funding.

Protect AI, a tool for integrating security measures into machine learning workflows and pipelines, raised $35m in Series A funding.