Nov 04, 2024Ravie LakshmananVulnerability / Cyber Threat Cybersecurity researchers have disclosed six security flaws in the Ollama artificial intelligence (AI) framework that could be exploited by a malicious actor to perform various actions, including denial-of-service, model poisoning, and model theft. "Collectively, the vulnerabilities could allow an attacker to carry out … [Read more...] about Critical Flaws in Ollama AI Framework Could Enable DoS, Model Theft, and Poisoning
Model
Maximizing Detection Efficacy of an ML Model Using the Cloud
The CrowdStrike Falcon® platform takes full advantage of the power of the CrowdStrike Security Cloud to reduce high-cost false positives and maximize detection efficacy to stop breaches CrowdStrike continuously explores novel approaches to improve machine learning automated detection and protection capabilities for Falcon customers CrowdStrike’s cloud-based machine learning … [Read more...] about Maximizing Detection Efficacy of an ML Model Using the Cloud
How a Modular Testing Model Increases Efficiency and Scalability
In our last post, Testing Data Flows using Python and Remote Functions, we discussed how organizations can use remote functions in Python to create an end-to-end testing and validation strategy. Here we build on that concept and discuss how it is possible to design the code to be more flexible. For our purposes, flexible code means two things: Writing the code in such a way … [Read more...] about How a Modular Testing Model Increases Efficiency and Scalability