ChatGPT is a well-known Ai tool that automates different chat services. Many business owners, professionals, and individuals are now using this tool to automate tasks in their lives. It's a convenient tool but not necessarily a secure one. There have been data breaches that began from the ChatGPT service since it was released, and thousands of Americans are being impacted by these breaches now.

ChatGPT use is increasing exponentially in the enterprise, where users are submitting sensitive information to the chat bot, including proprietary source code, passwords and keys, intellectual property, and regulated data. In response, organizations have put controls in place to limit the use of ChatGPT. Financial services leads the pack, with nearly one in four organizations implementing controls around ChatGPT.

To develop practical solutions, it is crucial first to identify the primary threats that arise from the widespread use of ChatGPT. This article aims to analyze these emerging risks, discuss the necessary training and tools for cybersecurity professionals to respond effectively, and emphasize the importance of government oversight to prevent AI usage from undermining cybersecurity efforts. The emergence of ChatGPT brings both awe-inspiring possibilities and significant concerns regarding cybersecurity.

Security teams use tools like Microsoft Sentinel to aggregate their security events, alert on threat detection, and most importantly, orchestrate threat responses through a variety of automated playbooks. By providing both Security Information and Event Management (SIEM) and Security Orchestration, Automation, and Response (SOAR) functionality, Sentinel enables teams to respond to threats quickly and efficiently.

ThreatQuotient’s Perspective on Security Operations and vision for AI in the ThreatQ Platform We’re all familiar with the “speed of cybersecurity”, the rapid pace at which cyber threats evolve and the corresponding need for timely and agile defense measures. We’ve been trained to understand the importance of quickly detecting, analyzing, and mitigating cyber risks to stay ahead of attackers and protect assets in an increasingly dynamic and interconnected world.

Spending for software-as-a-service (SaaS) applications is projected to grow 17.9% to $197 billion in 2023, then grow another 17.7% to $232 billion in 2024. This rapid growth is being fueled by several factors including the desire to modernize IT environments and enable hybrid workers, who might login from a branch office one day and a hotel room the next.

It is fair to say that few technologies have grabbed more news headlines in 2023 than ChatGPT. As an artificial intelligence (AI) language model, ChatGPT is a powerful tool that has the potential to revolutionize multiple business areas, including, but not limited to, marketing, operations, engineering, risk management, legal and employee optimization.

Generative AI capabilities continue to make their way into every organization, with increasingly useful ways of helping employees and contractors be more productive. This includes advancing how fully automated vulnerability remediation works, and with the power of generative AI, is able to take into account unique environments and uses in real-time.

Despite the security controls that OpenAI has imposed on ChatGPT to try to make it a secure space capable of assisting users in a variety of tasks, cybercriminals have managed to exploit this technology for malicious purposes. Recent research has shown that this generative artificial intelligence is capable of creating a new branch of polymorphic malware with relative ease. The main risk lies in ChatGPT's versatility, which allows it to create code that could easily be used for malware.

ChatGPT use is increasing exponentially among enterprise users, who are using it to help with the writing process, to explore new topics, and to write code. But, users need to be careful about what information they submit to ChatGPT, because ChatGPT does not guarantee data security or confidentiality. Users should avoid submitting any sensitive information, including proprietary source code, passwords and keys, intellectual property, or regulated data.

Cybercriminals are using AI to carry out various cyberattacks including password cracking, phishing emails, impersonation and deepfakes. It’s important you understand how cybercriminals are using AI to their advantage so you can better protect yourself and family, as well as your accounts and data. Continue reading to learn about AI-enabled cyberattacks and what you can do to keep yourself safe.

A researcher was alerted to a fake website containing fake quotes that appeared to be written by himself. The age of generative artificial intelligence (AI) toying with our public personas has truly arrived. As cybersecurity professionals we must ask, what are the implications of fake-news-at-scale-and-quality for individuals and organizations?

Diana Kelley, Chief Information Security Officer (CISO) at Protect AI joins host David Puner for a dive into the world of artificial intelligence (AI) and machine learning (ML), exploring the importance of privacy and security controls amid the AI Gold Rush. As the world seeks to capitalize on generative AI’s potential, risks are escalating.

It was great to be both a sponsor and a participant at Zenith Live in Las Vegas last week. Attended by security architects, CIOs and CTOs, the caliber of presentations was exceptionally high. We heard from Zscaler CEO, Jay Chaudhry, about many industry-redefining innovations around AI-enabled security, data-driven business intelligence insights, and product enhancements which promise to further strengthen the Zscaler platform.

At Netskope, we’ve talked a lot lately about how to safely enable ChatGPT and other generative AI applications such as Google Bard and Jasper. Why? As the saying goes, “There’s no going back.” Generative AI is here to stay and will have a transformative effect on our day-to-day lives whether we’re in technology or not.

Experts in the cybersecurity industry are becoming increasingly concerned about artificial intelligence attacks. A 2020 report from Forrester Consulting found that 88% of decision-makers in the security industry believed offensive AI was on the horizon, and almost two-thirds of them expected AI to lead new attacks.

The rapidly evolving landscape of cybersecurity is witnessing the genesis of new paradigms, redefining the ways we perceive threat detection and response. Traditional approaches to cybersecurity are proving less effective against the sophistication of modern cyber threats. Among the many possible solutions, the integration of Threat Intelligence (TI) and Artificial Intelligence (AI) stands as an impressive contender, aiming to set a new standard in the industry.

ChatGPT has been taking the World by storm, but it’s bringing with it issues around cybersecurity, data protection, and data privacy. IT leaders and business leaders are looking to create policies that will help protect their people and corporate assets, but so few people really understand the technology well enough to grasp and weigh the benefits, the concerns, and implications for the cybersecurity industry, in general.

ChatGPT is a language model that generates fluent, contextually relevant responses to prompts in a conversational fashion. Because it can generate fluent text in multiple languages, it is gaining popularity among enterprise users who are using it to help with the writing process, to explore new topics, and to write code.

Phishing attacks are a major cyber threat that continue to evolve and become more sophisticated, causing billions of dollars in losses each year according to the recent Internet Crime Report. However, traditional offline or inline phishing detection engines are limited in how they can detect evasive phishing pages. Due to the performance requirements of inline solutions, they can only target specific campaigns and, at best, act as a basic static analyzer.

In April 2023, German artist Boris Eldagsen won the open creative award for his photographic entry entitled, Pseudomnesia: The Electrician. But, the confusing part of the event for the judges and the audience was that he refused to receive the award. The reason was that the photograph was generated by an Artificial Intelligence (AI) tool.

The content of this post is solely the responsibility of the author. AT&T does not adopt or endorse any of the views, positions, or information provided by the author in this article. OpenAI's flagship product, ChatGPT, has dominated the news cycle since its unveiling in November 2022. In only a few months, ChatGPT became the fastest-growing consumer app in internet history, reaching 100 million users as 2023 began.

Despite the race to integrate artificial intelligence (AI) and machine learning (ML) into business systems and processes, the crucial issue of comprehending and articulating the decision-making process of these models is often ignored. Although machine learning is a valuable tool for uncovering pertinent information from vast amounts of data, it is essential to ensure the relevance, accuracy and reliability of this information.

Wouldn’t it be great if your cybersecurity strategy only had to focus on just a few threats? Sigh… if only life were that easy. But new predictions for this year’s most prevalent cyber threats from analyst firm Forrester should help focus your efforts.. According to their newly released Top Cybersecurity Threats in 2023 (client access required), there are five threats to be concerned about.

In today’s digital landscape, the importance of application security cannot be overstated, as businesses worldwide face evolving cyber threats. Both defenders and attackers are now harnessing the power of Artificial Intelligence (AI) to their advantage. As AI-driven attacks become increasingly sophisticated, it is crucial for organizations to adopt a comprehensive approach to application security that effectively addresses this emerging threat landscape.

Artificial intelligence (AI) is transforming modern society at unprecedented speed. It can do your homework, help you make better investment decisions, turn your selfie into a Renaissance painting or write code on your behalf. While ChatGPT and other generative AI tools can be powerful forces for good, they’ve also unleashed a tsunami of attacker innovation and concerns are mounting quickly.

Scattered across the internet are jigsaw puzzle pieces containing your personal information. If reassembled by an attacker, these puzzle pieces could easily compromise your identity. Our returning guest today is Len Noe, CyberArk’s resident transhuman (a.k.a. cyborg), whose official titles these days are Technical Evangelist, White Hat Hacker and Biohacker.

A couple weeks ago, ServiceNow and NVIDIA announced a groundbreaking partnership to help expand ServiceNow’s generative AI use cases for their customers to strengthen workflow automation and rapidly increase productivity. ServiceNow is also helping NVIDIA streamline its IT operations by using NVIDIA data to customize NVIDIA NeMo foundation models running on hybrid-cloud infrastructure.

Back in 2015, we published an article about the apparent perils of driverless cars. At that time, the newness and novelty of sitting back and allowing a car to drive you to your destination created a source of criminal fascination for some, and a nightmare for others. It has been eight years since the original article was published, so perhaps it is time to revisit the topic to see if driverless cars have taken a better direction.

Large language models (LLMs), such as ChatGPT, have gained significant popularity for their ability to generate human-like conversations and assist users with various tasks. However, with their increasing use, concerns about potential vulnerabilities and security risks have emerged. One such concern is prompt injection attacks, where malicious actors attempt to manipulate the behavior of language models by strategically crafting input prompts.

A new study found that ChatGPT can accurately recall any sensitive information fed to it as part of a query at a later date without controls in place to protect who can retrieve it. The frenzy to take advantage of ChatGPT and other AI platforms like it has likely caused some to feed it plenty of corporate data in an effort to have the AI process and provide insightful output based on the queries received.

In today’s rapidly digitizing world, the importance of data security has become paramount. With the increasing amount of sensitive information being shared and stored online, securing information from cyber attacks, information breaches, and theft has become a top priority for companies of all sizes. Data loss prevention (DLP) is a critical part of the Netskope Intelligent Security Service Edge (SSE) security platform, providing best-in-class data security to our customers.

Large language models have gained immense popularity among web users today owing to the generation of human-like text responses. However, as with any technology, LLM is not without its risks and safety issues.