Facebook ThreatData | Breaking Cybersecurity News | The Hacker News

Social Networking giant Facebook has just launched a new platform called ThreatExchange , which is designed to mount a coordinated defense against cybercrime. Many security professionals rely largely on manual methods for collecting, analyzing, and consuming information about latest cyber security threats such as malware and botnets . Whereas, Mark Zuckerberg's ThreatExchange is a unique social media platform where multiple organizations can sign up and share information about new threats to cyber security, new types of hacks, phishing attacks and malicious activities they may have experienced. COLLABORATE AND TAKE ACTION Facebook is currently using a threat analysis framework called " ThreatData " to discover and tackle scams and cybercrimes, but with the growth in the magnitude of cyber attacks, Facebook believes that better communication between companies could help stamp them out. " We quickly learned that sharing with one another was key to bea...

Defending and Analysis of online threats and malwares   have become more challenging nowadays and especially for larger businesses like the popular social networking site - Facebook. To encounter malware, phishing, and other online threats, Facebook has taken an important step forward. Facebook has unveiled its latest security-focused platform, dubbed as ' ThreatData ', which is a framework that aims to standardize its methods for collecting and analyzing data. The ThreatData framework is implemented to import information about the various online threats, malware, phishing and other internet risks, then storing it proficiently for real-time and long-term analysis as well. It consists of three high level components i.e. Feeds, Data storage, and Real-time response. FEEDS:  Feeds will collect data from a distinct source and implement them via a lightweight interface. " Here are some examples of feeds we have implemented: Malware file hashes from VirusTotal; ...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...