risk assessment Archives

AppWizard

November 14, 2024

Android is getting call scam detection, real-time app threat alerts

Google is enhancing the safety and security of its Android platform, particularly with the introduction of new features aimed at combating scam calls and malicious applications. These features will first be available on Pixel smartphones before being extended to other Android devices. Key enhancements include: 1. Real-Time Threat Detection: Google Play Protect now offers live threat detection, providing real-time alerts for potentially harmful applications by analyzing their behavior. This feature will initially focus on apps displaying stalking behavior and will expand to cover various harmful applications in the future. 2. Scam Call Detection: A new on-device feature uses artificial intelligence to identify suspicious phone calls, such as those requesting money or code transfers. This feature is currently being tested in the U.S. and requires users to opt-in, as it is off by default. 3. Messages App Scam Detection: Google has also improved scam detection for its Messages app, targeting fraudulent schemes and package delivery scams. The AI for call scam detection is powered by the Gemini Nano model and will initially operate on Pixel 9 series devices, with plans to extend support to the Pixel 6 series and subsequent models.

Winsage

October 24, 2024

The State of Windows Security: What’s Coming, What’s Obsolete and How To Deal — Redmondmag.com

Windows administrators are adapting to changes in security practices due to the rise of sophisticated cyber threats, increased remote work, cloud adoption, regulatory compliance, and supply chain attacks. Key strategies discussed include the integration of advanced threat protection tools, prioritizing endpoint security and zero-trust principles, extending security strategies to cloud environments, implementing strong data protection measures, and enhancing third-party security. The Crowdstrike incident highlighted the importance of change management, continuous monitoring, a layered security approach, proactive communication, disaster recovery planning, vendor accountability, regular security audits, and incident response readiness. AI's role in Windows security is evolving, with potential benefits in threat detection and response, but it also introduces new vulnerabilities and requires adherence to data privacy standards. Organizations must implement governance practices to mitigate risks associated with AI manipulation, ensure human oversight, navigate regulatory considerations, and build user trust for successful adoption.

Winsage

October 9, 2024

NinjaOne introduces AI-driven Windows patch management

NinjaOne has introduced an AI service for Patch Management that enhances the efficiency of Windows updates. This service automatically identifies risks associated with patches using sentiment analysis on official Windows Knowledge Base updates. It provides insights and community feedback, allowing IT administrators to make informed decisions about when to implement patches. The AI service also identifies potentially hazardous patches early, helping to prevent security vulnerabilities and compatibility issues. Additionally, it streamlines the patch review process, enabling IT teams to save time and focus on other critical tasks.