Chatbots are taking away a key line of defence against fraudulent phishing emails by removing glaring grammatical and spelling errors, according to experts. The warning comes as policing organisation Europol issues an international advisory about the potential criminal use of ChatGPT and other "large language models". Phishing emails are a well-known weapon of cybercriminals and fool recipients into clicking on a link that downloads malicious software or tricks them into handing over personal details such as passwords or pin numbers. Half of all adults in England and Wales reported receiving a phishing email last year, according to the Office for National Statistics, while UK businesses have identified phishing attempts as the most common form of cyber-threat. However, a basic flaw in some phishing attempts – poor spelling and grammar – is being rectified by artificial intelligence (AI) chatbots, which can correct the errors that trip spam filters or alert human readers.

The cybersecurity firm Darktrace has warned that since the release of ChatGPT it has seen an increase in criminals using artificial intelligence to create more sophisticated scams to con employees and hack into businesses. The Cambridge-based company, which reported a 92% drop in operating profits in the half year to the end of December, said AI was further enabling "hacktivist" cyber-attacks using ransomware to extort money from businesses. The company said it had seen the emergence of more convincing and complex scams by hackers since the launch of the hugely popular Microsoft-backed AI tool ChatGPT last November. "Darktrace has found that while the number of email attacks across its own customer base remained steady since ChatGPT's release, those that rely on tricking victims into clicking malicious links have declined while linguistic complexity, including text volume, punctuation and sentence length among others, have increased," the company said. "This indicates that cybercriminals may be redirecting their focus to crafting more sophisticated social engineering scams that exploit user trust." However, Darktrace said that the phenomenon had not yet resulted in a new wave of cybercriminals emerging, merely changing the tactics of the existing cohort.

Futurist Bernard Marr recently boldly claimed on the Business Leader Podcast that'every single company on the planet will be an AI one in the future'. It's hard to know for sure if that will be the case, but it is certainly true that artificial intelligence is being used by more and more businesses to try to give them a cutting edge when it comes to productivity and output. In this article, we explore how companies are utilising this technology and what real-world impact it is having. The most common assumption when people talk about AI and machine learning is that jobs will end up being replaced by this technology and somehow people will end up being usurped or undermined by artificial intelligence. Andrew Tsonchev, VP of Technology at Darktrace, believes that whilst the technology is exciting, its outcomes are a little less apocalyptic. Darktrace were one of the early adopters in their sector and use AI to detect cyber security threats.

When we think about artificial intelligence (AI), humans are rarely what springs to mind. And understandably so, as AI is all about machine intelligence and automation. AI has become an essential business tool, so we often commend the pioneering work of AI companies to support businesses as they digitally evolve. To shed a light on the importance of people in the creation of intelligent machines, we take a look at the best-in-class executives in the AI field who continue to push the technology – and its boundaries – forward. With a passion for AI, Andrej Karpathy is interested in training deep neural nets on large datasets.

Used for both patient diagnosis and treatment, artificial intelligence (AI) is increasingly being adopted in the healthcare sector. With recent developments enabling AI to outperform expert radiologists at spotting breast cancer and diagnose deadly blood diseases at a faster rate than humans, investment in such technologies is set to increase significantly over the next five years. The use of AI is improving diagnostics, patient care, and clinical decision support across the medical field. In fact, in light of the current pandemic, industry spending on such technologies is set to reach more than $2 billion in the next five years–a testament to AI's potential to unlock significant medical breakthroughs. However, AI is also proving crucial in protecting the very systems which power these healthcare advances.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.

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.

Security teams can't protect what they don't know about. But it is not enough to just understand what they have within their organizations' environment. Defenders also need to put themselves in an adversary's shoes to understand which systems are likely to be targeted and how the attack would be carried out. Technologies such as attack surface management and attack path modeling make it possible for security teams to gain visibility into which assets adversaries can see and how they might gain access. With attack surface management, organizations are continuously discovering, classifying, and monitoring the IT infrastructure.

Sponsored Feature Internet connectivity has changed everything, including old-school industrial environments. It's a situation that's creating clear and present security concerns, and the industry needs new approaches to dealing with them. Industrial Internet of Things (IIoT) adoption is speeding ahead. Research from Inmarsat found that 77 per cent of organisations surveyed have fully deployed at least one IIoT project, with 41 per cent of them having done so between the second quarters of 2020 and 2021. The same research also warned that security was a primary concern for companies embarking on IIoT deployments, with 54 per cent of respondents complaining that it stopped them using their data effectively.

Darktrace, a global leader in cyber security AI, today announced that it has won the AI & Machine Learning Award at the 2022 Go:Tech Awards. Backed by Business Leader, one of the UK's leading business titles, the annual Go:Tech Awards celebrate the UK's tech pioneers and innovators. Darktrace was named winner in the AI & Machine Learning category, an award which showcases pioneers in the artificial intelligence space. Darktrace was the first to apply artificial intelligence to the challenge of cyber security when it brought'Self-Learning AI' to market in 2013. The technology works by learning a sense of'self' for the organization it is defending, enabling it to understand if a cyber-attack is occurring and then to interrupt the malicious activity in real time.