Our partner Verint has #AI powered tools to ensure private Omni-Channel conversations stay secure. Mayday Communications Inc promotes Verint's complete portfolio of #security solutions. In this newsletter featuring Gartner's report, "Predicts 2019: The Ambiguous Future of Privacy," we dig into steps you can take now to prepare your business for the rising tide of #privacy #regulations..
Artificial intelligence poses both a blessing and a curse to businesses, customers, and cybercriminals alike. AI technology is what provides us with speech recognition technology (think Siri), Google's search engine, and Facebook's facial recognition software. Some credit card companies are now using AI to help financial institutions prevent billions of dollars in fraud annually. Is artificial intelligence an advantage or a threat to your company's digital security? On one hand, artificial intelligence in cyber security is beneficial because it improves how security experts analyze, study, and understand cybercrime.
Artificial intelligence (AI) is rapidly finding applications in nearly every walk of life. Self-driving cars, social media networks, cybersecurity companies, and everything in between uses it. But a new report published by the SHERPA consortium – an EU project studying the impact of AI on ethics and human rights – finds that while human attackers have access to machine learning techniques, they currently focus most of their efforts on manipulating existing AI systems for malicious purposes instead of creating new attacks that would use machine learning. The study's primary focus is on how malicious actors can abuse AI, machine learning, and smart information systems. The researchers identify a variety of potentially malicious uses for AI that are well within reach of today's attackers, including the creation of sophisticated disinformation and social engineering campaigns.
Companies and public sector organisations say they have no choice but to automate their cyber defences as hacking become increasingly sophisticated. Security professionals can no longer keep pace with the volume and sophistication of attacks on computer systems. In a study of 850 security professionals across 10 countries, more than half said their organisations are overwhelmed with data. So they are turning to machine-learning technologies that can identify cyber attacks by analysing huge quantities of network data and have the potential to block attacks automatically. By 2020, two out of three companies plan to deploy cyber security defences incorporating machine learning and other forms of artificial intelligence (AI), according to the Capgemini study, Reinventing cyber security with artificial intelligence.
Inherently biased artificial intelligence programs can pose serious problems for cybersecurity at a time when hackers are becoming more sophisticated in their attacks, experts told CNBC. Bias can occur in three areas -- the program, the data and the people who design those AI systems, according to Aarti Borkar, a vice president at IBM Security. "One is the algorithm itself," she told CNBC, referring to the lines of codes that teach an AI program to carry out specific tasks. "Is it biased in the way it's approached, and the outcome it's trying to solve?" A biased program may end up focusing on the wrong priorities and could miss the real threats, she explained.
An ever-present threat to any given country's national security is that of cybersecurity. There are always hackers that want to use technology for malicious purposes, not to say the long list of adversaries that a country can pile up along the years. That's so as what it is at stake is millions of sensible data from citizens, companies, directories, senior officers and members of the government, state's information and more. Unfortunately, not all Governments take this peril as seriously as they should, and the efforts towards creating cyber-defense strategies – in most countries – lack budget, personnel and even real, field knowledge. Before this absence of real policies, Artificial Intelligence might be well seen as a good starting point where to build the walls that keep out any possible threats.
Bottom line: Machine learning is enabling threat analytics to deliver greater precision regarding the risk context of privileged users' behavior, creating notifications of risky activity in real time, while also being able to actively respond to incidents by cutting off sessions, adding additional monitoring, or flagging for forensic follow-up. A commonly-held misconception or fiction is that millions of hackers have gone to the dark side and are orchestrating massive attacks on any and every business that is vulnerable. The facts are far different and reflect a much more brutal truth, which is that businesses make themselves easy to hack into by not protecting their privileged access credentials. Cybercriminals aren't expending the time and effort to hack into systems; they're looking for ingenious ways to steal privileged access credentials and walk in the front door. According to Verizon's 2019 Data Breach Investigations Report, 'Phishing' (as a pre-cursor to credential misuse), 'Stolen Credentials', and'Privilege Abuse' account for the majority of threat actions in breaches (see page 9 of the report).
Security experts opined that more organizations are turning up to Artificial Intelligence (AI) to shore up their security defenses against cybercrimes. Technology firm Capgemini stated that firms find AI as increasingly necessary to bolster cybersecurity. In its research, Reinventing Cybersecurity with Artificial Intelligence, Capgemini revealed that most of the technology firms are already started using AI in their cybersecurity initiatives or planning to introduce shortly. The research, which surveyed 850 senior executives from IT Information Security, Cybersecurity, and IT Operations across 10 countries, stated that three in five firms that surveyed said using AI improves the accuracy and efficiency of cyber analysts. Capgemini stated that 61 percent of enterprises surveyed said that they can't detect breach attempts without AI technologies and 64 percent of firms said that AI lowers the cost to detect and respond to breaches.
These and many other insights are from Capgemini's Reinventing Cybersecurity with Artificial Intelligence Report published this week. Capgemini Research Institute surveyed 850 senior executives from seven industries, including consumer products, retail, banking, insurance, automotive, utilities, and telecom. Enterprises headquartered in France, Germany, the UK, the US, Australia, the Netherlands, India, Italy, Spain, and Sweden are included in the report. Please see page 21 of the report for a description of the methodology. Capgemini found that as digital businesses grow, their risk of cyberattacks exponentially increases.