This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Technologies that were figments of the imagination a dozen years ago, if they were conceived of at all, quickly become mainstream — think generative artificialintelligence (GenAI) or blockchain. As they do, they create more security vulnerabilities and inherent business, changing the nature of cybersecurity careers.
DOGE personnel are also reported to be feeding Education Department data into artificialintelligence software, and they have also started working at the Department of Energy. Each day of continued unrestricted access makes the eventual recovery more difficult and increases the risk of irreversible damage to these critical systems.
Artificialintelligence (AI) is transforming industries at an unprecedented pace, and its impact on cybersecurity is no exception. From automating cybersecurity defenses to combatting adversarial AI threats, the report underscores both the power and pitfalls of AI-driven security.
GeoSpy is an ArtificialIntelligence (AI) supported tool that can derive a persons location by analyzing features in a photo like vegetation, buildings, and other landmarks. Aside from the contribution towards a surveillance society, the risks of such a tool are obvious. And it can do so in seconds based on one picture.
Healthcare cybersecurity is undergoing explosive growth, reflecting both escalating threats and urgent investments to protect patient data and systems. According to a new report, the global healthcare cybersecurity market was valued at US $21.25 billion in 2024 and is projected to reach $82.90 billion by 2033, at a robust 18.55% CAGR.
The rapid advancement of generative AI has brought both innovation and concern to the cybersecurity landscape. The report concludes that "while DeepSeek R1 does not instantly generate fully functional malware, its ability to produce semi-functional code should be a wake-up call for the cybersecurity industry."
As a European provider, Link11 addresses the current business risks associated with geopolitical uncertainties and growing compliance requirements. Link11’s network was developed specifically for modern cybersecurity requirements and sovereignty. Frankfurt, Apr.30,
DeepSeek has designed a new AI platform that quickly gained attention over the past week primarily due to its significant advancements in artificialintelligence and its impactful applications across various industries. Today, cybersecurity firm KELA reported that it was able to jailbreak the model to produce malicious outputs.
Apple last week announced new security features specifically intended to offer “specialized additional protection to users who may be at risk of highly targeted cyberattacks from private companies developing state-sponsored mercenary spyware.”. Also concerning is the fact that in Apple’s Lockdown announcement, Ivan Krsti?,
Cross-border data transfers enable global business but face challenges from varying cybersecurity laws, increasing risks of cyberattacks and data breaches. However, as data moves across multiple jurisdictions, it becomes subject to varying national cybersecurity policies and data protection laws.
Hyperautomation is a process where artificialintelligence (AI), machine learning (ML), event-driven software, and other tools are used to automate as many business and IT processes as possible. Some cyber defenders need more than traditional cyber threat intelligence telemetry to make critical operational impact decisions.
If you are worried about revealing your exact locationor if you maybe even fib about it at timesthere are some good reasons to worry about what is visible in background photos, because ArtificialIntelligence (AI) is getting very good at guessing where you are based on the smallest of clues.
So, having just written my predictions for cybersecurity for the coming year, which will be coming to you shortly, I thought I’d look back at the ones I made for this year (for the International Security Journal (ISJ) ) and discover how accurate they were. Regretfully, I’ve not seen as much change as I would have liked.
And in cybersecurity, hyperautomation could be the thing that makes the constant onslaught of alerts and cyber incidents manageable. Hyperautomation incorporates artificialintelligence with automation tools, to increase scope and complexity. Read also: Automating Security Risk Assessments for Better Protection.
In today’s interconnected world, where technology permeates every aspect of our lives, ensuring robust cybersecurity has become an utmost priority. With the ever-evolving threat landscape, it is crucial to stay informed about the latest trends and challenges in the field of cybersecurity.
What caught my eye were two things: 1) The number of these jobs that did not exist 10, five, or even one or two years ago; and 2) How many of the roles are tied to cybersecurity—directly or indirectly. ArtificialIntelligence Engineer 4. Cybersecurity Manager 5. Data Scientist 2. Cloud Solution Architect 3.
In the ever-evolving world of cybersecurity, certain tools and techniques possess a fascinating duality. These are known as "dual-use" techniques and understanding them is crucial for anyone involved in cybersecurity. This duality arises from the inherent versatility of many cybersecurity tools.
This is the blind spot in modern cybersecurity, as not many of us are aware of how important GPUs are for AI. Shared memory, shared risk This is the big one: GPUs rely on shared memory architectures. This intelligence makes targeted attacks dramatically easier. That backend? It's a mess. And it's wide open.
Now, cybersecurity may just be the most important aspect of financial technology (fintech) in the modern world. Luckily, new tech trends could help keep our financial data safe even with an increase in risk. The Rising Risks The widespread shift to a work-from-home (WFH) economy left countless networks vulnerable to cyber attacks.
ArtificialIntelligence (AI) and Machine Learning (ML) present limitless possibilities for enhancing business processes, but they also expand the potential for malicious actors to exploit security risks. How transparent is the model architecture? Will the architecture details be publicly available or proprietary?
As the field of cybersecurity continues to evolve and expand, pursuing a Master’s degree in this discipline offers an opportunity to delve into cutting-edge research and contribute to the advancement of knowledge in this critical area. Blockchain and Cybersecurity: Investigate the use of blockchain technology in enhancing cybersecurity.
Artificialintelligence (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.As
As cyber threats become increasingly sophisticated, integrating artificialintelligence (AI) into cybersecurity is more than a passing trend — it’s a groundbreaking shift in protecting our digital assets. What is the Impact of AI in Cybersecurity? What is the Impact of AI in Cybersecurity?
Artificialintelligence (AI) promises to transform major sectors like healthcare, transportation, finance, and government over the coming years. As adoption accelerates, so too do emerging cybersecurityrisks. Continuous risk assessment and governance throughout the AI system lifecycle remains essential.
Editor’s note: I recently had the chance to participate in a discussion about the overall state of privacy and cybersecurity with Erin Kapczynski, OneRep’s senior vice president of B2B marketing. How did you first get interested in cybersecurity as a career? Erin: So, let’s get started. What drew you to this field?
Artificialintelligence has been in commercial use for many decades; Markstedter recounted why this potent iteration of AI is causing so much fuss, just now. I came away with a much better understanding of the disruption/transformation that is gaining momentum, with respect to privacy and cybersecurity.
Why Will CyberSecurity Become the Least of your Concern? Cybersecurity attacks, including phishing, vishing, smishing, and everything else “ishing,” continues to rise and become even more of a problem for organizations and individuals. Without AI intelligent models, organizations cannot monetize their data.
Youll also learn how generative AI has impacted the cybersecurity landscape and why multi-agent AI systems will become essential tools in modern defense strategies. Agentic AI refers to an advanced artificialintelligencearchitecture designed to perform tasks autonomously. What Is Agentic AI? What Is Generative AI?
Touhill brings a rich and diverse background to the role, having spent years protecting military computer networks as an Air Force brigadier general and later serving as director of the National Cybersecurity and Communications Integrations Center at the Department of Homeland Security. I’m absolutely thrilled.
The 2023 vendor surveys arriving this quarter paint a picture of a cybersecurity landscape under attack, with priority issues affecting deployment, alert response, and exposed vulnerabilities. This article details two major findings from the report: five major cybersecurity threats and prioritization problems.
As in previous years, digital transformation remained a key theme at the event as well as discussions around artificialintelligence (AI) and IoT technologies impacting the workforce. I think this issue really resonates in the cybersecurity industry. million by 2022.
Whether you’re in government contracting, healthcare, or other sectors that handle sensitive data, adhering to NIST Cybersecurity Framework guidelines ensures your business operates within the highest standards of regulatory compliance. The guidelines set by NIST are particularly important in the realm of cybersecurity.
The manufacturing sector faces an increasingly daunting cyber threat landscape that puts production operations, intellectual property, and entire supply chains at risk. It advocates moving beyond traditional cybersecurity compliance checklists toward holistic resilience. trillion annually. "
In addition, the risks of monetary and operational damage render it mission critical for enterprises to envision and enact the appropriate People, Process, and Technology safeguards to assure data protection and privacy. Emerging trends such as ArtificialIntelligence, Machine Learning, Network Observability, Self-Sovereign Identity, etc.
Later in 2022 CISA bolstered this claim and posted an urgent cybersecurity advisory stating that “ Weak Security Controls and Practices Routinely Exploited for Initial Access ”, which is CISA’s polite way of saying “your access management policy is weak and will get hacked”. What is ISPM, or Identity Security Posture Management?
Risk and Reward of APIs and Third-Party Connectors in the Cloud 7 min read · Just now -- A Security Operations (#SecOps) and Engineering Commentary from industry insider Rohan Bafna , SecOps Engineer. That is the risk. APIs are at risk of attack from injected malicious code, leading to data exposure, system compromise, or takeovers.
The technique was discovered by researchers at MIT’s Computer Science & ArtificialIntelligence Laboratory (CSAIL), Joseph Ravichandran , Weon Taek Na , Jay Lang , and Mengjia Yan. Security Affairs is one of the finalists for the best European Cybersecurity Blogger Awards 2022 – VOTE FOR YOUR WINNERS.
In the race to offer comprehensive cybersecurity solutions, the product known as network detection and response (NDR) is a standalone solution as well as a central component of XDR. Almost 40 years after its start in Silicon Valley, Cisco remains one of the top IT and cybersecurity solution providers in the world.
The featured speakers are: Rachel Tobac, white hat hacker and CEO, SocialProof Security Rachel is a white hat hacker and the CEO of SocialProof Security, where she helps people and companies keep their data safe by training and pentesting them on social engineering risks. Check out the entire series.
As we approach 2025, the ever-evolving landscape of cybersecurity continues to challenge professionals and organizations alike. AI-Powered Threats and Defenses The ubiquity of artificialintelligence in cybersecurity is inevitable. In 2025, adversaries will use AI more effectively to bypass traditional defences.
Why is the blockchain transaction framework becoming the future of cybersecurity? Will the quantum attacker be powered by deep learning artificialintelligence membranes that eat machine learning algorithms for breakfast? AI and ML for cybersecurity — Step forward, please and acknowledge the crowd! Absolutely.
To address this growing business need, we offer seven cybersecurity predictions for 2022. Some 96 percent increased cybersecurity spending in 2020, and 91 percent in 2021. Teams can accomplish this goal by implementing zero-trust architectures and providing risk data to the business for decision making.
Consolidating security telemetry data, upgrading your organization’s cybersecurity posture, and integrating with various artificialintelligence (AI) and machine learning (ML) engines are essential to combatting adversarial AI and ML models.
While the “prediction season” gains momentum, it's pivotal to reflect on the high impact of the 2023 cybersecurity landscape. The fall of VPNs and firewalls The cyberthreats and trends of 2023 send a clear message to organizations: they must evolve their security strategies to the times and embrace a zero trust architecture.
We organize all of the trending information in your field so you don't have to. Join 28,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content