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IT leaders are placing faith in AI. Consider 76 percent of IT leaders believe that generativeAI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword.
In the Unit 42 Threat Frontier: Prepare for Emerging AI Risks report, we aim to strengthen your grasp of how generativeAI (GenAI) is reshaping the cybersecurity landscape. The Evolving Threat Landscape GenAI is rapidly reshaping the cybersecurity landscape. SecureAI by design from the start.
In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AIsecurity this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secureAI deployment; shadow AI; AI threat detection; AI risks; AI governance; AIcybersecurity uses — and more.
Plus, OWASP is offering guidance about deepfakes and AIsecurity. Meanwhile, cybercriminals have amplified their use of malware for fake software-update attacks. Cybersecurity and Infrastructure Security Agency (CISA). What’s the right way of establishing a center of excellence for AIsecurity in your organization?
Artificial intelligence (AI) has rapidly shifted from buzz to business necessity over the past yearsomething Zscaler has seen firsthand while pioneering AI-powered solutions and tracking enterprise AI/ML activity in the worlds largest security cloud. billion AI/ML transactions in the Zscaler Zero Trust Exchange.
The already heavy burden born by enterprise security leaders is being dramatically worsened by AI, machine learning, and generativeAI (genAI). Organizations are reacting to the rise of AI in one of two ways: Encouraging widespread use, with little oversight or understanding of the risks.
The generativeAI revolution has the power to transform how banks operate. Banks are increasingly turning to AI to assist with a wide range of tasks, from customer onboarding to fraud detection and risk regulation. Avanade can help banking teams to work out how to get the most value from generativeAI.
GenerativeAI (GenAI) and large language models (LLMs) are becoming ubiquitous in businesses across sectors, increasing productivity, driving competitiveness and positively impacting companies bottom lines. Whether you are a business leader, developer or security professional, understanding prompt attacks is essential.
Cybersecurity cannot stand still, or the waves of innovation will overrun the shores. Multifactor authentication fatigue and biometrics shortcomings Multifactor authentication (MFA) is a popular technique for strengthening the security around logins. A second, more pernicious risk is the fact that ChatGPT can write malware.
This necessitates continuous adaptation and innovation across various verticals, from data management and cybersecurity to software development and user experience design. Let’s talk about strengthening the four major pillars from an attacker’s perspective, as they form the core of any organization’s security.
Meanwhile, Tenable did a deep dive on DeepSeeks malware-creation capabilities. government sent this week via an advisory to cybersecurity teams, especially those at critical infrastructure organizations. Check out how to protect your org against the Medusa ransomware gang. Thats the message the U.S.
Proof that even the most rigid of organizations are willing to explore generativeAI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors. It is not training the model, nor are responses refined based on any user inputs.
In essence, banks are only as secure as their least protected device. Banks’ biggest concerns are currently malware (40%), phishing and ransomware (both 33%), data theft or misuse (30%) and business email compromise (27%), according to one study. All of this can be done by harnessing the power of generativeAI.
In this exclusive interview, we sit down with Anoop Kumar, Head of InformationSecurity Governance Risk and Compliance at GulfNews, Al Nisr Publishing, to discuss the evolving challenges of cybersecurity in the media industry. What are the most prevalent types of threats to network security in recent years?
Plus, a new guide says AI system audits must go beyond check-box compliance. Meanwhile, a report foresees stronger AI use by defenders and hackers in 2025. And get the latest on cloud security, SMBs' MFA use and the CIS Benchmarks. Document the secure baseline configurations for all IT/OT systems.
Todays attackers are leveraging generativeAI (GenAI) to deliver hyper-targeted scams, transforming every email, text, or call into a calculated act of manipulation. Education is under attack: Phishing in education surged 224%, with threat actors exploiting academic calendars, financial aid deadlines, and weak security defenses.
Since ChatGPT’s release in November, the world has seemingly been on an “all day, every day” discussion about the generativeAI chatbot’s impressive skills, evident limitations and potential to be used for good and evil. However, a caveat: If you’re feeding it work data, check with your employer first what’s ok and not ok to share.
Cato Networks is a leading provider of secure access service edge (SASE), an enterprise networking and security unified cloud-centered service that converges SD-WAN, a cloud network, and security service edge (SSE) functions, including firewall as a service (FWaaS), a secure web gateway, zero trust network access, and more.
1 - Using AIsecurely: Global cyber agencies publish new guide Is your organization – like many others – aggressively adopting artificial intelligence to boost operational efficiency? If so, you might want to check out a new guide published this week about how businesses can use AIsecurely.
Plus, MIT launched a new database of AI risks. And get the latest on Q2’s most prevalent malware, the Radar/Dispossessor ransomware gang and CVE severity assessments! The post-quantum encryption standards are designed to secure “a wide range of electronic information,” including email messages and e-commerce transactions, the U.S.
Plus, a new survey shows cybersecurity pros are guardedly optimistic about AI. And the NSA is sharing best practices for data security. Cybersecurity and Infrastructure Security Agency (CISA) in its Emergency Directive 24-02 , sent to federal civilian agencies last week and made public this week. And much more!
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more.
CISA is calling on router makers to improve security, because attackers like Volt Typhoon compromise routers to breach critical infrastructure systems. And a cyber expert calls on universities to beef up security instruction in computer science programs. Meanwhile, data breaches hit an all-time high in the U.S. So said the U.S.
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a weekly blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42 with roles in AI research, product management, consulting, engineering and more.
It has many problems, security not being the least of them—but it’s bound to improve. Meta has also released the Llama Stack APIs , a set of APIs to aid developers building generativeAI applications. Errors in memory safety have long been the largest source of security vulnerabilities. Two of the newly released Llama 3.2
Interest in generativeAI has skyrocketed since the release of tools like ChatGPT, Google Gemini, Microsoft Copilot and others. Along with the hype comes concerns about privacy, personal identifiable information (PII), security and accuracy. So, employees will only access accurate and up-to-date information.
1 - CISA: How VIPs and everyone else can secure their mobile phone use In light of the hacking of major telecom companies by China-affiliated cyber spies, highly targeted people should adopt security best practices to protect their cell phone communications. Clarification on AI data privacy standards. So said the U.S.
GenerativeAI (GAI) is at the forefront of nearly everyone’s minds. Integrating GAI in observability and security workflows The good news in all of this is that you have already built your in-house repository of data that can be used to train your observability and security monitoring learning capabilities for your organization.
As the saying goes, Security is only as strong as the people behind it. For decades, cybersecurity strategies have focused on defending networks, securing endpoints and deploying sophisticated firewalls. A lack of cybersecurity education can turn your employees into your organizations weakest cybersecurity link.
The transformative power of generativeAI in cybersecurity Geert van der Linden 19 Feb 2024 Facebook Twitter Linkedin GenerativeAI represents a transformative force in cybersecurity. Efficiency One of the most compelling aspects of generativeAI in cybersecurity is its capacity to boost efficiency.
More security teams are incorporating AI to uplevel their defense strategies and boost productivity. With so much AI buzz, it may be overwhelming to decipher which tools to acquire and how they fit in a modern security strategy.
Check out what’s new in NIST’s makeover of its Cybersecurity Framework. Also, how to assess the cybersecurity capabilities of a generativeAI LLM. And the most prevalent malware in Q4. 1 - NIST’s Cybersecurity Framework 2.0 1 - NIST’s Cybersecurity Framework 2.0 The Cybersecurity Framework at 10.and
This single event ushered in the generativeAI revolution that has affected industries across the public sector, including the DoD. Cybersecurity : GenerativeAI has the potential to significantly boost cybersecurity by enhancing threat detection and response capabilities.
Wiz is a cloud security platform that enables organizations to secure everything they build and run in the cloud by rapidly identifying and removing critical risks. Over 40% of the Fortune 100 trust Wiz’s purpose-built cloud security platform to gain full-stack visibility, accurate risk prioritization, and enhanced business agility.
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider Whether defensive or offensive, cybersecurity is in constant flux. The Changing Face of OT Security Today, the manufacturing sector is embracing digital transformation at an unmatched rate.
We are witnessing a transformation in the security landscape across all aspects of our digital world. A single security breach can have crippling consequences for potentially millions of internet users — from the disruption of daily life and loss of access to everyday services to identity theft and loss of privacy.
As we bid adieu to 2023, we highlight major trends that impacted cybersecurity professionals in the past 12 months. Learn how the cyber world changed in areas including artificial intelligence, CNAPP, IAM security, government oversight and OT security. Cybersecurity teams were no exception.
Cyber leaders are embracing generativeAI and product suites, while ditching siloed tools. Plus, check out a guide packed with anti-phishing tips, and another one full of IAM security best practices. Also, discover the skills that cybersecurity recruiters value the most. And much more!
And get the latest on ransomware trends, vulnerability management practices and election security! 1 - Guide outlines logging and threat detection best practices As attackers double down on the use of stealthy, hard-to-detect “living off the land” (LOTL) techniques, cybersecurity teams should improve how they log events and detect threats.
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42 with roles in AI research, product management, consulting, engineering and more.
In the blog “ How GenerativeAI Can Benefit Knowledge Management ”, we looked at the benefits of AI to knowledge management to enhance the quality, automating the creation of content and enabling more engaging content. Having identified the data type, generativeAI is only as good as the data it's trained on.
June 2024: The Wall Street Journal interviews CEOs about bad actors using deepfakes to get hired into cybersecurity positions. August 2024: Security firm KnowBe4 reve als that they unknowingly hired a North Korean spy. And more than one in four have used AI to generate interview answers.
There has been growing interest in the capabilities of generativeAI since the release of tools like ChatGPT, Google Bard, Amazon Large Language Models and Microsoft Bing. With the hype comes concerns about privacy, PII, security and, even more importantly, accuracy. And rightly so.
Leaderboards are a good place to start when looking at open source gen AI, says David Guarrera, generativeAI lead at EY Americas, and Hugging Face in particular has done a good job benchmarking, he says. So do open source LLMs release all that information? Companies are already very familiar with using open source code.
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