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The world must reshape its technology infrastructure to ensure artificialintelligence makes good on its potential as a transformative moment in digital innovation. Its clear that the technology firms must understand how this technology will impact if it is to deliver on the promise of a secure and trustworthy AI.
As Saudi Arabia accelerates its digital transformation, cybersecurity has become a cornerstone of its national strategy. With the rise of digital technologies, from smart cities to advanced cloud infrastructure, the Kingdom recognizes that protecting its digital landscape is paramount to safeguarding its economic future and national security.
The Cybersecurity Maturity Model Certification (CMMC) serves a vital purpose in that it protects the Department of Defense’s data. But certification – which includes standards ensuring that businesses working with the DoD have strong cybersecurity practices – can be daunting.
But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses.
Many organizations are dipping their toes into machine learning and artificialintelligence (AI). How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? However, for most organizations embarking on this transformational journey, the results remain to be seen.
For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. With the rise of AI and data-driven decision-making, new regulations like the EU ArtificialIntelligence Act and potential federal AI legislation in the U.S.
Funding to venture-backed cybersecurity startups has trended up so far this year , and Thursday saw another sign of that. The San Jose, California-based startup is helping bring artificialintelligence agents to security operations centers, or SOC. Automation is emerging as a critical solution in these environments.
Singapore has rolled out new cybersecurity measures to safeguard AI systems against traditional threats like supply chain attacks and emerging risks such as adversarial machine learning, including data poisoning and evasion attacks.
As ArtificialIntelligence (AI)-powered cyber threats surge, INE Security , a global leader in cybersecurity training and certification, is launching a new initiative to help organizations rethink cybersecurity training and workforce development. However, this shift also presents risks.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificialintelligence.
Meta will allow US government agencies and contractors in national security roles to use its Llama AI. The clarity on data sharing could be crucial, as it may impact how effectively the model adapts to government-specific needs while maintaining data security.
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.
As policymakers across the globe approach regulating artificialintelligence (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.
After successive quarters of decline, venture funding to cybersecurity startups nudged up in the first quarter and could see even more investment after having the largest acquisition of a private, venture-backed company ever. Total funding to VC-backed cybersecurity startups topped $2.7 billion in Q1, per Crunchbase data.
As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance.
ArtificialIntelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. Other key uses include fraud detection, cybersecurity, and image/speech recognition. Respondents rank data security as the top concern for AI workloads, followed closely by data quality.
In fact, it took $200 million or more to make the list last month, as defense tech and cybersecurity led the way. NinjaOne , $500M, cybersecurity: NinjaOne, which provides endpoint management, security and monitoring, raised $500 million in Series C extensions at a $5 billion valuation more than doubling its value from just 12 months ago.
Unsurprisingly, this is leading to staff frustration and burnout, dissatisfied end users and persistent security vulnerabilities. The reasons include more software deployments, network reliability problems, security incidents/outages, and a rise in remote working. High quality data is essential for effective AI.
The Austin, Texas-based startup has developed a platform that uses artificialintelligence and machine learning trained on ransomware to reverse the effects of a ransomware attack — making sure businesses’ operations are never actually impacted by an attack. Valuation Illustration: Dom Guzman
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. billion AI/ML transactions in the Zscaler Zero Trust Exchange.
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.
{{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.
TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificialintelligence, machine learning, and cloud computing, says Roy Rucker Sr., Spending on advanced IT Some business and IT leaders say they also anticipate IT spending increases during 2025.
After more than a decade leading the digital transformation and cybersecurity initiatives of the services company, hes managed to forge a synergy where tech and informationsecurity are established as fundamental pillars for business success. Cybersecurity is also integral to Garca Dujos approach to transform.In
Double down on cybersecurity In 2025, there will be an even greater need for CIOs to fully understand the current cybersecurity threat landscape. While no one knows exactly when a quantum computer capable of breaking current standards such as RSA or ECC may exist, most experts believe its only a matter of time , Shorter says.
In particular, it is essential to map the artificialintelligence systems that are being used to see if they fall into those that are unacceptable or risky under the AI Act and to do training for staff on the ethical and safe use of AI, a requirement that will go into effect as early as February 2025.
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?”
Our commitment to customer excellence has been instrumental to Mastercard’s success, culminating in a CIO 100 award this year for our project connecting technology to customer excellence utilizing artificialintelligence. We live in an age of miracles.
After more than two years of domination by US companies in the arena of artificialintelligence,the time has come for a Chinese attackpreceded by many months of preparations coordinated by Beijing. Its approach couldchange the balance of power in the development of artificialintelligence.
While some things tend to slow as the year winds down, artificialintelligence fundraising apparently isn’t one of them. xAI , $5B, artificialintelligence: Generative AI startup xAI raised $5 billion in a round valuing it at $50 billion, The Wall Street Journal reported. Let’s take a look.
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.
Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificialintelligence (AI) is primed to transform nearly every industry. Before we go further, let’s quickly define what we mean by each of these terms.
Among the recent trends impacting IT are the heavy shift into the cloud, the emergence of hybrid work, increased reliance on mobility, growing use of artificialintelligence, and ongoing efforts to build digital businesses. Consultants with the experience and specialized skills are always going to be required to help drive this change.
It has been sluggish on the M&A front in most sectors all year — and cybersecurity is no different. However, on Thursday New York-based data security startup Cyera bought data loss prevention firm Trail Security for $162 million. In April, Cyera raised a $300 million Series C led by Coatue at a $1.4 billion valuation.
Cybersecurity will be critical, with AI-driven threat detection and public-private collaboration safeguarding digital assets. How do you foresee artificialintelligence and machine learning evolving in the region in 2025? Cybersecurity continues to be a significant concern globally.
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.
startups raised half a billion dollars apiece, and another eight raised $100 million or more, with industries from cybersecurity to biotech to AI represented. Armis Security , $200M, cybersecurity: Cybersecurity startup Armis Security closed a $200 million Series D led by Alkeon Capital and General Catalyst.
Jeff Schumacher, CEO of artificialintelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” He is reachable through his website: mtwriting.com.
From the launch of its mobile banking app in 2020 to the enhancement of its internet banking services, ADIB-Egypt has consistently focused on providing convenient, secure, and user-friendly digital banking solutions. Artificialintelligence is set to play a key role in ADIB-Egypts digital transformation.
That includes two cybersecurity firms and two companies in the transportation space. Island , $250M, cybersecurity: Dallas-based enterprise browser developer Island raised a $250 million Series E at a $4.8 Aura , $140M, cybersecurity: Cybersecurity has seen its fair share of big rounds this year. billion valuation.
Earlier this week, life sciences venture firm Dimension Capital announced it had raised a new $500 million second fund just two years after its first to hunt for startups that are using artificialintelligence to develop new medicines. Venture funding to AI-related biotech and healthcare startups hit only $4.8
The promised land of AI transformation poses a dilemma for security teams as the new technology brings both opportunities and yet more threat. 1] It is beyond human capabilities to monitor and respond to these attacks; it is also putting immense stress on security teams. Security technicians need to harness the power of AI.
Close to a third of all global venture funding went to companies in AI-related fields, making artificialintelligence the leading sector for funding. Other leading sectors included autonomous driving, healthcare, robotics, professional services, security and military, Crunchbase data shows. billion in 2023 Crunchbase data shows.
xAI , $5B, artificialintelligence: Generative AI startup xAI raised $5 billion in a funding round valuing it at $50 billion, The Wall Street Journal reported. Anthropic , $4B, artificialintelligence: Amazon has agreed to invest another $4 billion in AI startup Anthropic — a ChatGPT rival with its AI assistant Claude.
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