If you spend more on coffee than IT security, you will be hacked! Warned U.S. Cybersecurity Czar Richard Clarke, speaking at RSA Conference. This quote would make a great bumper sticker if it weren't for network attacks. According to research by IBM, it takes 280 days to find and contain the average cyberattack, while the average attack costs $3.86 million. But what are network attacks, and how can we leverage a next-gen search tool like Jina to mitigate our exposure to the threat?
Darktrace has enhanced its flagship AI cybersecurity platform with 70 additional machine learning models and over 80 new features. The Cambridge-based firm was founded by mathematicians and cyber defense experts in 2013 and uses self-learning AI to protect enterprises across all industry sectors. Machine learning is used to make thousands of "micro-level" decisions in the background as part of Darktrace's autonomous response technology called Antigena. Antigena has been improved with 70 new machine learning models to bolster its ability to autonomously neutralise attacks in real-time. "The hallmark of a great AI solution is the ability to surpass automation to seamlessly blend into users' everyday work rhythm," said Jack Stockdale OBE, CTO of Darktrace.
Threats to cybersecurity are rising at an incredibly rapid rate. Nevertheless, companies' and their cybersecurity's hesitancy to integrate artificial intelligence (AI) into processes reliant on humans is inhibiting, particularly when bad actors weaponize AI in cyberattacks. Organizations may make real-time choices that would be impossible with human effort alone thanks to AI's ability to mine large volumes of data for useful insights. As a consequence, AI enhances the capacity of companies to identify and respond to cyberattacks before they may be detected by human beings. The use of artificial intelligence (AI) may help identify, prevent and react to cyberattacks when partnered with cybersecurity best practices--and it can help make security decisions quicker and more accurately.
The London Marriott Hotel Grosvenor Square was the venue for the SC Media Awards 2022, the cybersecurity industry's coveted and prestigious awards ceremony on June 21. Vectra, a leader in AI-based cyber threat detection and response for hybrid and multi-cloud enterprises, won the "Excellence in Threat Solutions Award" in the "Best Enterprise Behavioral Analysis and Threat Detection" category for its Vectra AI platform. Vectra didn't just win that title, however, as it was also ranked at the event as "Highly Commended" in the "Best Use of Machine Learning and Artificial Intelligence", "Best Customer Service" and "Best Security Company" categories. Founded in 2010 and based in San Jose, California, Vectra is a leader in threat detection and response for hybrid and multi-cloud enterprises. Its Vectra AI platform uses AI to quickly detect threats in the public cloud, identity, SaaS applications and data centers.
This special issue highlights the applications, practices and theory of artificial intelligence in the domain of cyber security. In the past few decades there has been an exponential rise in the application of artificial intelligence technologies (such as deep learning, machine learning, block-chain, and virtualization etc.) for solving complex and intricate problems arising in the domain of cyber security. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The primary objective of this topical collection is to bring forward thorough, in-depth, and well-focused developments of artificial intelligence technologies and their applications in cyber security domain, to propose new approaches, and to present applications of innovative approaches in real facilities. AI can be both a blessing and a curse for cybersecurity.
Artificial intelligence (AI) is truly a revolutionary feat of computer science, set to become a core component of all modern software over the coming years and decades. This presents a threat but also an opportunity. AI will be deployed to augment both defensive and offensive cyber operations. Additionally, new means of cyber attack will be invented to take advantage of the particular weaknesses of AI technology. Finally, the importance of data will be amplified by AI's appetite for large amounts of training data, redefining how we must think about data protection. Prudent governance at the global level will be essential to ensure that this era-defining technology will bring about broadly shared safety and prosperity.
Despite fears of a looming recession and hiring freezes at a number of major tech companies, demand for tech-based roles continues to run high. Most companies have been forced to increase their reliance on – and investment in – technology over the past two and a half years. That's left them with a number of gaps in the workforce to fill, whether in IT security, software development, IT support or data analysis. ZDNet takes an in-depth look at key trends in software development and how developers are changing the tech industry. Some tech professionals are seeing greater demand than others.
You may have heard the terms AI and cybersecurity were thrown around together in the same sentence, but what do they mean? While AI has been used in cybersecurity for quite some time, the future of the technology will bring many more applications of AI to our digital safety, both through improvements to already existing systems and with new implementations that haven't even been thought of yet. Moreover, It is being used heavily in cybersecurity, where it can be used to power antivirus software, hunt down hackers using machine learning, or even create new ways of detecting cyber attacks via Artificial Intelligence in Cybersecurity that hasn't been thought of before. This article will break down what AI is and how it's being used in cybersecurity now, and what we can expect from "Artificial Intelligence in Cybersecurity" going forward. Researchers at Dartmouth University found that Artificial Intelligence can be tricked into allowing malware through security systems by changing up code ever so slightly. It might look like a small thing, but these tiny changes make all the difference in Artificial Intelligence's ability to tell the difference between a spam email and a legitimate one.
New ransomware variants and deceptive techniques such as living off the land and store now, decrypt later are sidestepping heuristic analysis and signature-based malware detection. Behavior-based tools can compare network activity against an established norm and flag when they detect unusual and suspicious actions and patterns. Powered by artificial intelligence and machine learning, such tools represent hope in a post-Colonial Pipeline world. C3 AI, a company specializing in applying artificial intelligence (AI) to facilitate enterprise-level digital transformation, recently awarded 24 grants under its Digital Transformation Institute (DTI) initiative. This year, DTI awarded grants to candidates who submitted proposals about applying AI to detect and stop cyberattacks and keep critical infrastructure secure.
AI (opens in new tab) is revolutionizing cybersecurity (opens in new tab). From automatically detecting network irregularities, to deciding how best to allocate security (opens in new tab) defenses, some of the most data-intensive tasks are rapidly being taken over by machines that can compute at faster and higher rates than people. Joshua Saxe is VP and Chief Scientist at Sophos (opens in new tab). While AI has not been a major tool for attackers thus far, it has potential. Even now, the early examples of attackers using new, easily accessible open-source AI technology to create fake photos, videos and speech as part of phishing (opens in new tab) campaigns suggests a future where AI is widely used by criminals and nation-state cyber actors.