Goto

Collaborating Authors

data breach


Apple Just Killed the Password--for Real This Time

WIRED

Year after year, the most popular passwords leaked in data breaches are 123456, 123456789, and 12345--'qwerty' and'password' come close behind--and using these weak passwords leaves you vulnerable to all sorts of hacking. Weak and repeated passwords are one of the most significant risks to your online life. For years, we've been promised a more secure, password-free future, but it seems like 2022 will actually be the year that millions of people start to move away from passwords. At Apple's Worldwide Developer Conference yesterday, the company announced it will launch passwordless logins across Macs, iPhones, iPads, and Apple TVs around September of this year. Instead of using passwords, you will be able to log in to websites and apps using "Passkeys" with iOS 16 and macOS Ventura.


Can Machine Learning Be the Cause of Data Breaches?

#artificialintelligence

Machine learning (ML) has empowered businesses to scale up to modern business demands. From training artificial Intelligence (AI) to answering customer concerns, optimizing processes to detecting and analyzing fraud, the advent of technology in business has been exquisite. While the full impact of machine learning is yet unknown, ethical issues are becoming more prevalent. ML has already experienced some unexpected catastrophic events. Therefore, debates over ML and AI ethics and risk assessments are far from over.


Using Unsupervised Learning to Combat Cyber Threats

#artificialintelligence

As the world enters a fully digital age, cyber threats are on the rise with massive data breaches, hacks into personal and financial data, and any other digital source that people can exploit. To combat these attacks, security experts are increasingly tapping into AI to stay a step ahead using every tool in their toolbox including unsupervised learning methods. Machine learning in the cybersecurity space is considered to still be in its infancy stage, but there has been a lot of traction since 2020 to have more AI involved in the process of combating cyber threats. Understanding how machine learning can be used in cyber security, recognizing the need for unsupervised learning methods in cyber security, and knowing how to implement AI in combating cyber attacks are the key to fighting cybercrime in the years ahead. The scary thing about cybercrime is that it can take up to six months to even detect a breach, and it takes an average of roughly 50 days from the time a breach is found to the time it is reported.


How data protection can benefit from artificial intelligence

#artificialintelligence

As the attack surfaces of organisations has grown since lockdown took hold and employees migrated to remote devices, pre-pandemic data protection practices have since needed a revamp of methods. Increasingly, this has entailed the automation of processes, powered by technologies such as artificial intelligence (AI), which is capable of making data protection more efficient if implemented properly. With this in mind, we take a look at some of the most valuable ways in which artificial intelligence lends itself towards data protection. This article will explore how artificial intelligence is set to impact organisations in the future, gauging the insights of experts in the space. Because AI relies heavily on data algorithms, organisations may feel hesitant about using the technology to aid data protection practices.


Ethics and robotics. A match made in heaven for risk management?

#artificialintelligence

If your business uses third parties to support core operations (and most do, from SMEs to corporates), you'll know they need to access essential data. Without this, they can't deliver the services you require Therefore, alongside this new relationship between you and your third party suppliers, comes a new responsibility for you. You now have an ethical and legal onus to protect the customer information entrusted to you. The devastation that a data breach leaves in its wake is obvious. And the media reports that accompany data breaches leave no doubt as to the financial and human consequences. At the same time, ongoing research into risk management, auditing, information security and supply-chain risk management hasn't stemmed the data breach tide.


Face Recognition Is Out. So How Will the IRS Verify Identity?

WIRED

Early in 2020, a US Treasury Department watchdog warned the IRS that the agency needed to do more to protect against identity fraud. In recent data breaches, the report said, "much of the information the IRS uses to provide assurance of the taxpayers' identities may have been stolen." The pandemic soon underscored the danger. When the IRS launched a web page for taxpayers to enter bank details for stimulus checks, it verified users by asking for data such as a person's birth date and Social Security number. Some people logged on only to find fraudsters had got there first.


Artificial Intelligence Strategies Startups Should Use to Grow

#artificialintelligence

Consumers have incredibly high expectations for companies to deliver faster and more personalized experiences, which is fueling the demand for Artificial Intelligence (AI) solutions. In turn, the increase in this utilization of AI is driving growth for many startups. Here are some AI tactics you can use today to scale and grow your business. Around 90 percent of consumers consider an immediate response important, and they demand a connected experience whenever they interact with a brand. Therefore, more organizations are investing in smarter solutions for better customer support. One of the simplest ways to do this is to embrace AI-powered applications, such as chatbots, voice search, and virtual assistants to improve customer experience.


how-to-get-trust-and-safety-on-fintech-platform

#artificialintelligence

New businesses are creating innovative financial services and banking solutions that will make the Fintech market more competitive. The Market Forecast predicts that the fintech market will grow at 23.41% annually to $324 billion by 2026. The industry is growing steadily and fraudsters are evolving at the same time, making it difficult to provide the best tools for protecting customers and companies to financial institutions. Customers remain skeptical because financial institutions are slow to implement tools. According to the BIS survey, May 2021, US households trust traditional banks more than Fintech for protecting their data.


China sets the pace in adoption of AI in healthcare technology

#artificialintelligence

A live-stream video of a 76-year-old woman pottering about her kitchen plays on Li Hong's phone. Li is in London, 8,700km from her mother in the Chinese city of Kunming. Li has narrowed the distance between them by installing cameras in her mother's apartment, where she lives alone. The system has built-in microphones and speakers, enabling the pair to discuss the latest readings from the blood pressure monitor of Li's mother, who has a heart condition. "It's like I am back in China with her. The technology is so convenient," says Li.


The Importance of Humanized Autonomous Decision-Making in AI

#artificialintelligence

Advanced automation technologies like artificial intelligence, coupled with data generated from the internet, smart devices and social networks, are making it easier than ever to off-load real-time decision making from humans to algorithms. This is more than just recommending your next television show to binge, Instead, it is evidence that we are increasingly relying on machines to make critical business decisions in the moment involving billion stock-dollar trades, to decisions about industrial processes, systems operations and more. Taking the human out of the equation may work for basic automation--such as a die-cutting press punching out thousands of identical circles or applications that automatically move data from one field to another. But for a wide range of other important decisions, we still have not determined how to program aspects such as humanity, ethics and values into machines. This is where progress is still needed to keep the human element present in AI, which is imperative.