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How Palo Alto Networks modernized its security management with AI

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The SIEM, or security information and event management console, has been a staple for security teams for more than a decade. It's the single pane of glass that shows events, alerts, logs, and other information that can be used to find a breach. Despite its near ubiquity, I've long been a SIEM critic and believe the tool is long past its prime. This is certainly not the consensus; I've been criticized in the past for taking this stance. While robust passwords help you secure your valuable online accounts, hardware-based two-factor authentication takes that security to the next level.


Why AI and autonomous response are crucial for cybersecurity (VB On-Demand)

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Today, cybersecurity is in a state of continuous growth and improvement. In this on-demand webinar, learn how two organizations use a continuous AI feedback loop to identify vulnerabilities, harden defenses and improve the outcomes of their cybersecurity programs. The security risk landscape is in tremendous flux, and the traditional on-premises approach to cybersecurity is no longer enough. Remote work has become the norm, and outside the office walls, employees are letting down their personal security defenses. Cyber risks introduced by the supply chain via third parties are still a major vulnerability, so organizations need to think about not only their defenses but those of their suppliers to protect their priority assets and information from infiltration and exploitation.


Scientists create new method to kill cyberattacks in less than a second

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"The attacker is poking at the memory controller, the library door, to say, 'is it busy now?' "We were motivated to undertake this work as there was nothing available that could do this kind of automated detecting and killing on a user's machine in real-time." Existing products, known as endpoint detection and response (EDR), are used to protect end-user devices such as desktops, laptops, and mobile devices and are designed to quickly detect, analyse, block, and contain attacks that are in progress. The main problem with these products is that the collected data needs to be sent to administrators in order for a response to be implemented, by which time a piece of malware may already have caused damage. To test the new detection method, the team set up a virtual computing environment to represent a group of commonly used laptops, each running up to 35 applications at the same time to simulate normal behaviour. The AI-based detection method was then tested using thousands of samples of malware.


Automotive Cybersecurity Market - Insights, Forecast to 2026

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The global Automotive Cybersecurity Market size is projected to grow from USD 2.0 billion in 2021 to USD 5.3 billion by 2026, at a CAGR of 21.3%. Increasing incidents of cyber-attacks on vehicles and massive vehicles recalls by OEMs have increased awareness about automotive cybersecurity among OEMs globally. Moreover, increasing government mandates on incorporating several safety features, such as rear-view camera, automatic emergency braking, lane departure warning system, and electronic stability control, have further opened new opportunities for automotive cybersecurity service providers globally. As a result, there are various start-ups present in the automotive cybersecurity ecosystem. Government initiatives toward building an intelligent transport system have also further escalated the demand for cybersecurity solutions all over the world.


Types of Federated Learning

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Organizations need to understand user behavior using data to improve their market position. Therefore, businesses solicit user feedback in a variety of ways. For example, Garmin, a well-known technology business, has a dedicated page for customers to submit ideas and suggestions. Similarly, Hotjar utilizes usability testing, whereas Zapier focuses on user feedback surveys. Personalization is another important aspect linked to user experience.


Council Post: What You Need To Know About The New Threat: Poisoned AI

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John Giordani has extensive experience in cybersecurity and information assurance. He is Chief Information Security Officer at NCHENG LLP. Machine learning relies on data to make predictions. Data is just information, and information can be stored in almost any medium and be called a "dataset." Datasets are great sources of information, but they are not always reliable. That's where artificial intelligence comes in.


UK fines Clearview AI £7.5M for scraping citizens' data

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Clearview AI has been fined £7.5 million by the UK's privacy watchdog for scraping the online data of citizens without their explicit consent. The controversial facial recognition provider has scraped billions of images of people across the web for its system. Understandably, it caught the attention of regulators and rights groups from around the world. In November 2021, the UK's Information Commissioner's Office (ICO) imposed a potential fine of just over £17 million on Clearview AI. Today's announcement suggests Clearview AI got off relatively lightly.


UK privacy watchdog fines Clearview AI £7.5m and orders UK data to be deleted

ZDNet

Since completing a degree in journalism, Aimee has had her fair share of covering various topics, including business, retail, manufacturing, and travel. She continues to expand her repertoire as a tech journalist with ZDNet. The Information Commissioner's Office (ICO) has fined controversial facial recognition company Clearview AI £7.5 million ($9.4 million) for breaching UK data protection laws and has issued an enforcement notice ordering the company to stop obtaining and using data of UK residents, and to delete the data from its systems. In its finding, the ICO detailed how Clearview AI failed to inform people in the UK that it was collecting their images from the web and social media to create a global online database that could be used for facial recognition; failed to have a lawful reason for collecting people's information; failed to have a process in place to stop the data being retained indefinitely; and failed to meet data protection standards required for biometric data under the General Data Protection Regulation. The ICO also found the company asked for additional personal information, including photos, when asked by members of the public if they were on their database.


Top 15 Digital Marketing Trends you Need for 2022

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Keeping up with all of the moving parts of digital marketing can be a task. From SEO to PPC, platforms, tools, and best practices the digital landscape is changing constantly as new technologies, techniques and algorithms become available. We know that what worked the last few years may not work the same way in 2022, and to get the best possible results for your business is to stay on top of these trends. As we enter a new year and tech continues to change rapidly, it's a good time to take the opportunity to dive into the digital marketing trends you will see more of in 2022. Google announced that it would end cookie tracking in early 2022.


UK fines Clearview just under $10M for privacy breaches – TechCrunch

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The UK's data protection watchdog has confirmed a penalty for the controversial facial recognition company, Clearview AI -- announcing a fine of just over £7.5 million today for a string of breaches of local privacy laws. The watchdog has also issued an enforcement notice, ordering Clearview to stop obtaining and using the personal data of UK residents that is publicly available on the internet; and telling it to delete the information of UK residents from its systems. The US company has amassed a database of 20 billion facial images by scraping data off the public internet, such as from social media services, to create an online database that it uses to power an AI-based identity-matching service which it sells to entities such as law enforcement. The problem is Clearview has never asked individuals whether it can use their selfies for that. And in many countries it has been found in breach of privacy laws.