Malware detection is an important part of the Netskope Security Cloud platform, complete with a secure access service edge (SASE) architecture, that we provide to our customers. Malware is malicious software that is designed to harm or exploit devices and computer systems. Various types of malware, such as viruses, worms, Trojan horses, ransomware, and spyware, remain a serious problem for corporations and government agencies.
Image Source: Pexels This blog was written by an independent guest blogger. Historically, the idea of artificial intelligence (AI) saturating our world has been met with suspicion. Indeed, it’s one of the more popular tropes of science fiction — learning machines gain sentience that helps them take over the planet.
Artificial intelligence (AI) and machine learning (ML) systems have become the norm for using client data to provide recommendations to customers. As more people are working from home and conducting business online, it is imperative that fraud detection software is used to protect user information. But these protective systems also utilize ML to automate the process and understand when a potential attack is taking place.
Organizations will spend $327.5 billion in 2021 for AI systems according to the IDC report, but not all AI and Machine Leaning investments will bring the desired outcomes.
Cyber-attacks are commonly viewed as one of the most severe risks to worldwide security. Cyber-attacks are not the same as they were five years back in aspects of availability and efficiency. Improved technology and more efficient offensive techniques provide the opportunity for cybercriminals to initiate attacks on a vast scale with a higher effect. Intruders employ new methods and launch more comprehensive strategies based on AI to compromise systems.
According to a seminal Clark School study, a hacker attacks a computer with internet access every 39 seconds. What’s more, almost a third of all Americans have been harmed by a hacker at one point or another, and more than two-thirds of companies have been victims of web-based attacks. A 2020 IBM study showed that the total cost of data breaches worldwide amounted to $3.9 million, which just may sound the death knell for many businesses affected by breaches.
The construction industry is not unfamiliar with disruption. In 2008, the Construction Engineering Index plunged 68 percent. Firms that survived the financial crisis that year faced severe margin pressure – dropping from 5 percent in 2007 to 1 percent by 2010. The industry had to act fast and looked for more innovative ways to cut costs and boost profitability. The industry had to act fast and looked for more innovative ways to cut costs and boost profitability.
What are the groundbreaking Machine Learning and AI projects that will likely change the existing AI/ML landscape and bring their own rules of the game?
Are Information security event management (SIEM) and artificial intelligence (AI) a marriage made in heaven or just more sales hysteria in the industry? The reality, of course, is that security and system/application event correlation systems have been around for quite a long time. The term SIEM was first promoted by analyst firm Gartner in 2005. The lingering question is, are the analytics available in SIEM products identical to AI, or is AI only rebranded for sales purposes with analytics?