ML
What is the Role of Explainable AI (XAI) In Security?
While AI helps automatically detect and respond to rapidly evolving threats, XAI helps security professionals understand how these decisions are being made ...
Recall ‘Delayed Indefinitely’ — Microsoft Privacy Disaster is Cut from Copilot+ PCs
Copilot Plus? More like Copilot Minus: Redmond realizes Recall requires radical rethink ...
Microsoft Recall is a Privacy Disaster
It remembers everything you do on your PC. Security experts are raging at Redmond to recall Recall ...
Microsoft’s Copilot+ Recall Feature, Slack’s AI Training Controversy
Episode 331 of the Shared Security Podcast discusses privacy and security concerns related to two major technological developments: the introduction of Windows PC’s new feature ‘Recall,’ part of Microsoft’s Copilot+, which captures ...
Enhancing Security with AI: Revolutionizing Protection in the Digital Era
In the ever-evolving landscape of cybersecurity, the integration of Artificial Intelligence (AI) and Machine Learning (ML) has emerged as a transformative force. AI, with its ability to mimic human cognition and problem-solving ...
Entro Streamlines Machine Identity Life Cycle Management
Entro has added a life cycle management capability to its namesake platform for discovering and managing machine identities ...
Protect AI Report Surfaces MLflow Security Vulnerabilities
Protect AI identified RCE vulnerabilities in the MLflow life cycle management tool that can be used to compromise AI models ...
Using ML to Accelerate Incident Management
If adopted correctly, AI and ML could advance incident response efforts by spotting errors and vulnerabilities, communicating issues and improving defensive postures ...
How the global fraud-fighting community makes the internet safer for everyone
Discover why a platform approach, combined with global data and community, is the foundation of best-in-class Digital Trust & Safety. The post How the global fraud-fighting community makes the internet safer for ...
Lost transparency, blackbox ML, and other hidden risks of outsourced fraud solutions
Machine learning-based fraud decision engines are sometimes viewed as mysterious black boxes that only provide minimal insight into why a decision was made on a login or a transaction. It’s a valid ...
