Generative AI | Breaking Cybersecurity News | The Hacker News

After a good year of sustained exuberance, the hangover is finally here. It's a gentle one (for now), as the market corrects the share price of the major players (like Nvidia, Microsoft, and Google), while other players reassess the market and adjust priorities. Gartner calls it the trough of disillusionment , when interest wanes and implementations fail to deliver the promised breakthroughs. Producers of the technology shake out or fail. Investment continues only if the surviving providers improve their products to the satisfaction of early adopters.  Let's be clear, this was always going to be the case: the post-human revolution promised by the AI cheerleaders was never a realistic goal, and the incredible excitement triggered by the early LLMs was not based on market success.  AI is here to stay  What's next for AI then? Well, if it follows the Gartner hype cycle, the deep crash is followed by the slope of enlightenment where the maturing technology regains its footing, benefits

"Peace is the virtue of civilization. War is its crime. Yet it is often in the furnace of war that the sharpest tools of peace are forged." - Victor Hugo. In 1971, an unsettling message started appearing on several computers that comprised ARPANET, the precursor to what we now know as the Internet. The message, which read "I'm the Creeper: catch me if you can." was the output of a program named Creeper, which was developed by the famous programmer Bob Thomas while he worked at BBN Technologies. While Thomas's intentions were not malicious, the Creeper program represents the advent of what we now call a computer virus. The appearance of Creeper on ARPANET set the stage for the emergence of the first Antivirus software. While unconfirmed, it is believed that Ray Thomlinson, famously known for inventing email, developed Reaper, a program designed to remove Creeper from Infected Machines. The development of this tool used to defensively chase down and remove

Want to know what's the latest and greatest in SecOps for 2024? Gartner's recently released Hype Cycle for Security Operations report takes important steps to organize and mature the domain of Continuous Threat Exposure Management, aka CTEM. Three categories within this domain are included in this year's report: Threat Exposure Management, Exposure Assessment Platforms (EAP), and Adversarial Exposure Validation (AEV). These category definitions are aimed at providing some structure to the evolving landscape of exposure management technologies. Pentera, listed as a sample vendor in the newly defined AEV category, is playing a pivotal role in increasing the adoption of CTEM, with a focus on security validation. Following is our take on the CTEM related product categories and what they mean for enterprise security leaders. The Industry is Maturing CTEM, coined by Gartner in 2022, presents a structural approach for continuously assessing, prioritizing, validating, and remediating expo

Event Overview The " AI Leaders Spill Their Secrets " webinar, hosted by Sigma Computing, featured prominent AI experts sharing their experiences and strategies for success in the AI industry. The panel included Michael Ward from Sardine, Damon Bryan from Hyperfinity, and Stephen Hillian from Astronomer, moderated by Zalak Trivedi, Sigma Computing's Product Manager. Key Speakers and Their Backgrounds 1. Michael Ward Senior Risk Data Analyst at Sardine. Over 25 years of experience in software engineering. Focuses on data science, analytics, and machine learning to prevent fraud and money laundering. 2. Damon Bryan Co-founder and CTO at Hyperfinity. Specializes in decision intelligence software for retailers and brands. Background in data science, AI, and analytics, transitioning from consultancy to a full-fledged software company. 3. Stephen Hillion SVP of Data and AI at Astronomer. Manages data science teams and focuses on the development and scaling of

The cybersecurity threat landscape has witnessed a dramatic and alarming rise in the average ransomware payment, an increase exceeding 500%. Sophos, a global leader in cybersecurity, revealed in its annual "State of Ransomware 2024" report that the average ransom payment has increased 500% in the last year with organizations that paid a ransom reporting an average payment of $2 million, up from $400,000 in 2023. Separately, RISK & INSURANCE, a leading media source for the insurance industry reported recently that in 2023 the median ransom demand soared to $20 million in 2023 from $1.4 million in 2022, and payment skyrocketed to $6.5 million in 2023 from $335,000 in 2022, much more than 500%. This shocking surge is a testament to the increasing sophistication of cyberattacks and the significant vulnerabilities inherent in outdated security methods. The most significant factor contributing to this trend is a broad reliance on twenty-year-old, legacy Multi-Factor Authentic

Apple has announced the launch of a "groundbreaking cloud intelligence system" called Private Cloud Compute (PCC) that's designed for processing artificial intelligence (AI) tasks in a privacy-preserving manner in the cloud. The tech giant described PCC as the "most advanced security architecture ever deployed for cloud AI compute at scale." PCC coincides with the arrival of new generative AI (GenAI) features – collectively dubbed Apple Intelligence , or AI for short – that the iPhone maker unveiled in its next generation of software, including iOS 18 , iPadOS 18 , and macOS Sequoia . All of the Apple Intelligence features, both the ones that run on-device and those that rely on PCC, leverage in-house generative models trained on "licensed data, including data selected to enhance specific features, as well as publicly available data collected by our web-crawler, AppleBot." With PCC, the idea is to essentially offload complex requests that requir

Google is urging third-party Android app developers to incorporate generative artificial intelligence (GenAI) features in a responsible manner. The new guidance from the search and advertising giant is an effort to combat problematic content, including sexual content and hate speech, created through such tools. To that end, apps that generate content using AI must ensure they don't create Restricted Content , have a mechanism for users to report or flag offensive information , and market them in a manner that accurately represents the app's capabilities. App developers are also being recommended to rigorously test their AI models to ensure they respect user safety and privacy. "Be sure to test your apps across various user scenarios and safeguard them against prompts that could manipulate your generative AI feature to create harmful or offensive content," Prabhat Sharma, director of trust and safety for Google Play, Android, and Chrome, said . The development com

Security leaders are in a tricky position trying to discern how much new AI-driven cybersecurity tools could actually benefit a security operations center (SOC). The hype about generative AI is still everywhere, but security teams have to live in reality. They face constantly incoming alerts from endpoint security platforms, SIEM tools, and phishing emails reported by internal users. Security teams also face an acute talent shortage.  In this guide, we'll lay out practical steps organizations can take to automate more of their processes and build an autonomous SOC strategy . This should address the acute talent shortage in security teams, by employing artificial intelligence and machine learning with a variety of techniques, these systems simulate the decision-making and investigative processes of human analysts. First, we'll define objectives for an autonomous SOC strategy and then consider key processes that could be automated. Next, we'll consider different AI and automation

Artificial intelligence (AI) is transforming cybersecurity, and those leading the charge are using it to outsmart increasingly advanced cyber threats. Join us for an exciting webinar, " The Future of Threat Hunting is Powered by Generative AI ," where you'll explore how AI tools are shaping the future of cybersecurity defenses. During the session, Censys Security Researcher Aidan Holland will introduce you to CensysGPT, a cutting-edge tool revolutionizing threat hunting and cybersecurity research. With CensysGPT, you can ask questions in plain language, understand competitor searches, and uncover insights from network data like never before. Here's why you should attend: Discover the latest:  Learn how generative AI is changing the game in cybersecurity and threat intelligence. Hunt smarter and faster:  See how CensysGPT helps you find threats quicker, reducing your organization's risk. Strengthen your defenses:  Find out how to incorporate AI into your se

The North Korea-linked threat actor known as  Kimsuky  (aka Black Banshee, Emerald Sleet, or Springtail) has been observed shifting its tactics, leveraging Compiled HTML Help (CHM) files as vectors to deliver malware for harvesting sensitive data. Kimsuky, active since at least 2012, is known to target entities located in South Korea as well as North America, Asia, and Europe. According to Rapid7, attack chains have leveraged weaponized Microsoft Office documents, ISO files, and Windows shortcut (LNK) files, with the group also employing CHM files to  deploy malware  on  compromised hosts . The cybersecurity firm has attributed the activity to Kimsuky with moderate confidence, citing similar tradecraft observed in the past. "While originally designed for help documentation, CHM files have also been exploited for malicious purposes, such as distributing malware, because they can execute JavaScript when opened," the company  said . The CHM file is propagated within an IS

The U.S. Treasury Department's Office of Foreign Assets Control (OFAC) on Wednesday announced sanctions against two 46-year-old Russian nationals and the respective companies they own for engaging in cyber influence operations. Ilya Andreevich Gambashidze (Gambashidze), the founder of the Moscow-based company Social Design Agency (SDA), and Nikolai Aleksandrovich Tupikin (Tupikin), the CEO and current owner of Russia-based Company Group Structura LLC (Structura), have been accused of providing services to the Russian government in connection to a "foreign malign influence campaign." The disinformation campaign is tracked by the broader cybersecurity community under the name  Doppelganger , which is known to target audiences in Europe and the U.S. using inauthentic news sites and social media accounts. "SDA and Structura have been identified as key actors of the campaign, responsible for providing [the Government of the Russian Federation] with a variety of servic

Did you know that 79% of organizations are already leveraging Generative AI technologies? Much like the internet defined the 90s and the cloud revolutionized the 2010s, we are now in the era of Large Language Models (LLMs) and Generative AI. The potential of Generative AI is immense, yet it brings significant challenges, especially in security integration. Despite their powerful capabilities, LLMs must be approached with caution. A breach in an LLM's security could expose the data it was trained on, along with sensitive organizational and user information, presenting a considerable risk. Join us for an enlightening session with Elad Schulman, CEO & Co-Founder of Lasso Security, and Nir Chervoni, Booking.com's Head of Data Security. They will share their real-world experiences and insights into securing Generative AI technologies. Why Attend? This webinar is a must for IT professionals, security experts, business leaders, and anyone fascinated by the future of Generati

Large language models (LLMs) powering artificial intelligence (AI) tools today could be exploited to develop self-augmenting malware capable of bypassing YARA rules. "Generative AI can be used to evade string-based YARA rules by augmenting the source code of small malware variants, effectively lowering detection rates," Recorded Future  said  in a new report shared with The Hacker News. The findings are part of a red teaming exercise designed to uncover malicious use cases for AI technologies, which are  already being experimented  with by threat actors to create malware code snippets, generate phishing emails, and conduct reconnaissance on potential targets. The cybersecurity firm said it submitted to an LLM a known piece of malware called  STEELHOOK  that's associated with the APT28 hacking group, alongside its YARA rules, asking it to modify the source code to sidestep detection such that the original functionality remained intact and the generated source code wa

As many as 100 malicious artificial intelligence (AI)/machine learning (ML) models have been discovered in the Hugging Face platform. These include instances where loading a  pickle file  leads to code execution, software supply chain security firm JFrog said. "The model's payload grants the attacker a shell on the compromised machine, enabling them to gain full control over victims' machines through what is commonly referred to as a 'backdoor,'" senior security researcher David Cohen  said . "This silent infiltration could potentially grant access to critical internal systems and pave the way for large-scale data breaches or even corporate espionage, impacting not just individual users but potentially entire organizations across the globe, all while leaving victims utterly unaware of their compromised state." Specifically, the rogue model initiates a reverse shell connection to 210.117.212[.]93, an IP address that belongs to the Korea Research