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Meta will allow US government agencies and contractors in national security roles to use its Llama AI. Significantly, this comes days after Reuters reported that Chinese research institutions linked to the People’s Liberation Army develop a chatbot using Llama for intelligence gathering and decision support.
According to research by Palo Alto, three-quarters of industrial organisations globally have detected malicious cyber activity in their OT environments. i The cybersecurity dividend However, cybersecurity is also viewed as a key driver for the uptake of 5G. These security benefits are important for two reasons.
In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity uses — and more.
INE solves the problem of accessible, hands-on security training with structured learning paths and real-world labs, says SOC Analyst Sai Tharun K. For me, it has been very valuable in refining my penetration testing, cloud security, and threat analysis skills. a Cyber SecurityResearcher. a Pentesting Consultant.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Plus, learn why GenAI and data security have become top drivers of cyber strategies. And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. Looking for help with shadow AI? Want to boost your software updates’ safety? New publications offer valuable tips.
However, this leap in computing power poses significant challenges, particularly for cybersecurity, which forms the backbone of data protection in our digital world. The Risks for Businesses and Organizations Quantum computing introduces vulnerabilities that could disrupt how organizations secure their data.
In the Unit 42 Threat Frontier: Prepare for Emerging AI Risks report, we aim to strengthen your grasp of how generative AI (GenAI) is reshaping the cybersecurity landscape. The Evolving Threat Landscape GenAI is rapidly reshaping the cybersecurity landscape. Secure AI by design from the start.
Tay notes that Accenture research shows that enterprises with digital core investments accelerate their reinvention and innovation, achieving up to 60% higher revenue growth rates and a 40% boost in profits. According to our own research , organizations believe it will take an average of four years to transition to PQC, he notes.
Speaker: Richard Cheng, Associate Product Manager, Mark43
To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management.
As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. A key pillar of this work has been the development of a GenAI cybersecurity framework, comprising five core security aspects. See figure below.)
However, these advancements come with heightened security risks. A recent report from Palo Alto Networks and ABI Research found that 74% of respondents noticed an increase in remote access, creating more entry points for attackers. However, visibility alone is not enough.
Take cybersecurity, for example. A staggering 21% of organizations report a severe shortage of skilled cybersecurity professionals, with another 30% finding it difficult to find suitable candidates. Only 8% of organizations have a relatively easy time finding qualified cybersecurity experts. Contact us today to learn more.
This process includes establishing core principles such as agility, scalability, security, and customer centricity. For example, a company aiming for market expansion might focus on developing scalable infrastructure, enabling application localization, and enhancing security measures to support operations in new regions.
To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.
Simultaneously, the monolithic IT organization was deconstructed into subgroups providing PC, cloud, infrastructure, security, and data services to the larger enterprise with associated solution leaders closely aligned to core business functions.
For instance, AT&T launched a comprehensive reskilling initiative called “Future Ready” to train employees in emerging technologies such as cloud computing, cybersecurity, and data analytics. Solution: Implement a robust security framework that includes regular risk assessments, threat modeling, and continuous monitoring.
{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider Like legacy security tools, such as traditional firewalls and signature-based antivirus software, organizations that have more traditional (and potentially more vulnerable) SOCs are struggling to keep pace with the increasing volume and sophistication of threats.
This new approach required a secure, private 5G network connecting OT sensors, pumps and other devices across its network, while ensuring secure SASE connectivity to the centralized data center for all remote operations. This leaves them with significant complexity and security gaps.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Build in security from the start. How is your organization’s DevOps doing? Do you have strategies to both identify problems and improve performance?
More about the research For our primary research, we interviewed more than 2,300 executive and senior IT and business leaders from organisations in 34 countries across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report identifies that most CEOs view GenAI as transformational.
Analyst reaction to Thursday’s release by the US Department of Homeland Security (DHS) of a framework designed to ensure safe and secure deployment of AI in critical infrastructure is decidedly mixed. What if it goes rogue, what if it is uncontrolled, what if it becomes the next arms race, how will the national security be ensured?”
Cybersecurity and systemic risk are two sides of the same coin. Although it was not a security event, the symptoms and responses all fall into the various categories of the cybersecurity program for any company. Systemic risk and overall cybersecurity posture require board involvement and oversight.
Financial Institutions Are Facing Growing Security Challenges Financial organisations face unprecedented cybersecurity challenges that threaten their operations, reputation and customer trust. Together, Palo Alto Networks and IBMs experts share their top cybersecurity considerations in a new, compelling vodcast series.
Speaker: Mark Ridley, Owner and Founder, Ridley Industries
He’ll explain how stitching together pre-existing solutions is often the best way to bring a stable, secure product to market most quickly. How do you help your engineers get on board with buying instead of building?
More about the research For our primary research, we interviewed more than 2,300 executive and senior IT and business leaders from organisations in 34 countries across North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The report identifies that most CEOs view GenAI as transformational.
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.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. Other key uses include fraud detection, cybersecurity, and image/speech recognition. Data security, data quality, and data governance still raise warning bells Data security remains a top concern.
This summer, the Federal Communications Commission (FCC) officially launched its ninth Communications Security, Reliability, and Interoperability Council (CSRIC) – a stakeholder-driven body advising the FCC on ways to ensure the security, reliability and interoperability of communications systems.
The main commercial model, from OpenAI, was quicker and easier to deploy and more accurate right out of the box, but the open source alternatives offered security, flexibility, lower costs, and, with additional training, even better accuracy. Finally, in addition to security and flexibility, cost is a key factor.
Founded by Jeff Moss as a gathering that delved into the hacker mindset, to its current stature as a global industry-leading cybersecurity conference, Black Hat has been a beacon for both the establishment and underground innovators. Advanced DNS Security to identify bad domains and detect threats, which leverage DNS as a vector.
Plus, OWASP is offering guidance about deepfakes and AI security. Those are three security measures cyber teams should proactively take in response to an ongoing and “large scale” email spear-phishing campaign targeting victims with malicious RDP files , according to the U.S. Cybersecurity and Infrastructure Security Agency (CISA).
Securityresearchers are warning of a significant global rise in Chinese cyber espionage activity against organizations in every industry. Researchers at the firm also identified seven new Chinese-origin cyber espionage groups in 2024, many of which exhibited specialized targeting and toolsets.
Whether you are a business leader, developer or security professional, understanding prompt attacks is essential. This is why we are thrilled to share new research with you that provides a framework to better understand the new prompt attacks targeting AI systems and models.
However, it is also becoming a powerful tool for cybercriminals, raising the stakes for OT security. This acceleration of attack speed and complexity underscores the need for OT leaders to adopt AI-driven defenses to counter these growing threats effectively and secure their AI-enabled systems.
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.
This can involve assessing a companys IT infrastructure, including its computer systems, cybersecurity profile, software performance, and data and analytics operations, to help determine ways a business might better benefit from the technology it uses. This can vary based on geographic location and skill level, Farnsworth says.
As such, cloud security is emerging from its tumultuous teenage years into a more mature phase. The initial growing pains of rapid adoption and security challenges are giving way to more sophisticated, purpose-built security solutions. This alarming upward trend highlights the urgent need for robust cloud security measures.
Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.” Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt. Instead, show how leading companies manage it strategically.
Intro: Time was, a call center agent could be relatively secure in knowing who was at the other end of the line. And if they werent, multi-factor authentication (MFA), answers to security questions, and verbal passwords would solve the issue. Often, bots are involved in this process.
Businesses have always struggled with IT skills shortages, but the accelerating arrival of new technologies such as AI has widened the shortage gap even further, resulting in business delays, lower customer satisfaction, and loss of revenue, according to a recent report from research firm IDC. The impacts are huge here, Smith adds.
Like other data-rich industries, banking, capital markets, insurance and payments firms are lucrative targets with high-value information. Conversely, threat actors – from cybercriminals to nation-states – are harnessing AI to craft more sophisticated attacks, automate their operations, and evade traditional security measures.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. Thorogood reports that his organization’s recent research shows that it takes 7.2
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Key challenges CISOs are and should be concerned about several AI-related areas in their cybersecurity pursuits. As AI solutions become more pervasive , its time to advance these organizational efforts in 2025.
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