Cato Networks | Breaking Cybersecurity News | The Hacker News

Discover how cybercriminals behave in Dark Web forums- what services they buy and sell, what motivates them, and even how they scam each other. Clear Web vs. Deep Web vs. Dark Web Threat intelligence professionals divide the internet into three main components: Clear Web - Web assets that can be viewed through public search engines, including media, blogs, and other pages and sites. Deep Web - Websites and forums that are unindexed by search engines. For example, webmail, online banking, corporate intranets, walled gardens, etc. Some of the hacker forums exist in the Deep Web, requiring credentials to enter. Dark Web - Web sources that require specific software to gain access. These sources are anonymous and closed, and include Telegram groups and invite-only forums. The Dark Web contains Tor, P2P, hacker forums, criminal marketplaces, etc. According to Etay Maor, Chief Security Strategist at Cato Networks , "We've been seeing a shift in how criminals communicate and co...

Being a CISO is a balancing act: ensuring organizations are secure without compromising users' productivity. This requires taking multiple elements into consideration, like cost, complexity, performance and user experience. CISOs around the globe use Cato SSE 360, as part of the  Cato SASE Cloud platform  to balance these factors without compromise. This article details how CISOs are leveraging Cato across different touchpoints of their  SASE  and SSE transition journey. It shows the top 3 achievements CISOs can accomplish: visibility, real-time threat prevention, and data sovereignty. Read and discover how it's done. Since Cato is easy to deploy, adopt and manage, you can soon benefit from these capabilities as well. To read a more in-depth explanation of these findings, click  here . Achievement #1: Comprehensive Visibility Sites can be quickly onboarded using Cato's zero-touch Socket edge SD-WAN devices or IPSEC tunnels. At the same time, remote users ca...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...

Companies are engaged in a seemingly endless cat-and-mouse game when it comes to cybersecurity and cyber threats. As organizations put up one defensive block after another, malicious actors kick their game up a notch to get around those blocks. Part of the challenge is to coordinate the defensive abilities of disparate security tools, even as organizations have limited resources and a dearth of skilled cybersecurity experts. XDR, or Extended Detection and Response, addresses this challenge. XDR platforms correlate indicators from across security domains to detect threats and then provide the tools to remediate incidents.  While XDR has many benefits, legacy approaches have been hampered by the lack of good-quality data. You might end up having a very good view of a threat from events generated by your EPP/EDR system but lack events about the network perspective (or vice versa). XDR products will import data from third-party sensors, but data comes in different formats. The XDR p...

John Hanley of IBM Security shares 4 key findings from the highly acclaimed annual Cost of a Data Breach Report 2023 What is the IBM Cost of a Data Breach Report? The IBM Cost of a Data Breach Report is an annual report that provides organizations with quantifiable information about the financial impacts of breaches. With this data, they can make data driven decisions about how they implement security in their organization. The report is conducted by the Ponemon Institute and sponsored, analyzed, and published by IBM Security. In 2023, the 18th year the report was published, the report analyzed 553 breaches across 16 countries and 17 industries. According to Etay Maor, Senior Director of Security Strategy at  Cato Networks , "We tend to talk a lot about security issues and solutions. This report puts a number behind threats and solutions and provides a lot of information to support claims of how a threat actor, a solution or a process impacts you financially." Key Finding #1:...

ChatGPT: Productivity tool, great for writing poems, and… a security risk?! In this article, we show how threat actors can exploit ChatGPT, but also how defenders can use it for leveling up their game. ChatGPT is the most swiftly growing consumer application to date. The extremely popular generative AI chatbot has the ability to generate human-like, coherent and contextually relevant responses. This makes it very valuable for applications like content creation, coding, education, customer support, and even personal assistance. However, ChatGPT also comes with security risks. ChatGPT can be used for data exfiltration, spreading misinformation, developing cyber attacks and writing phishing emails. On the flip side, it can help defenders who can use it for identifying vulnerabilities and learning about various defenses. In this article, we show numerous ways attackers can exploit ChatGPT and the OpenAI Playground. Just as importantly, we show ways that defenders can leverage ChatGPT t...