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
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.
Take advantage of agentic AI From simple tasks such as generating and distributing content, to more complex use cases such as orchestrating enterprise software, AI agents are transforming industries, states Gary Bailey, CIO at Phillips Edison & Co., owner and operator of grocery-anchored neighborhood shopping centers.
That’s great, because a strong IT environment is necessary to take advantage of the latest innovations and business opportunities. There are multiple examples of organizations driving home a first-mover advantage by adopting and embracing technology modernization when the opportunity presents itself early.”
In today’s enterprise environments, security and networking teams may be siloed for a variety of reasons. Yet there’s now widespread agreement that the drawbacks of siloed security and networking operations far outweigh any historical advantages. Plus, enhanced security outcomes lead to impressive reputational dividends.
We had an insightful conversation about how to approach the adoption of emerging technologies as well as what it takes — and when it makes sense — to gain first-mover advantage in this environment. As Randich’s team continues to analyze new risks and concerns, the benefits of the decision are clear and tangible.
Despite the importance of the mainframe, it has been neglected over the years with organizations focusing on perimeter security. According to Gartner , IT security software is the top purchase category (28%) for those buying IT-related software. But only eight percent of those buyers are purchasing IT management software.
Ensure security and access controls. Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications. Ensure data governance and compliance. Choose the right tools and technologies. Scalable data pipelines.
If there is a single theme circulating among Chief Information Security Officers (CISOs) right now, it is the question of how to get stakeholders on board with more robust cybersecurity training protocols. Human error remains one of the leading causes of security breaches.
While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI.
These details are from the Check Point 2024 Cyber Security Report , which paints a combination of grim prospects and optimism. This means the need to adopt a new paradigm in securing IT infrastructures. SD-WAN is neither inherently secure nor naturally prone to attacks.
Suboptimal integration strategies are partly to blame, and on top of this, companies often don’t have security architecture that can handle both people and AI agents working on IT systems. Most importantly, position technical debt management not as a cost center, but as an investment in business agility and competitive advantage.
Operational AI offers organizations significant benefits, including time and cost savings, and critical competitive advantages in today’s business landscape. Ensuring effective and secure AI implementations demands continuous adaptation and investment in robust, scalable data infrastructures.
If 2023 was the year of AI discovery and 2024 was that of AI experimentation, then 2025 will be the year that organisations seek to maximise AI-driven efficiencies and leverage AI for competitive advantage. Lack of oversight establishes a different kind of risk, with shadow IT posing significant security threats to organisations.
Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics. By partnering with AMD, Core42 can further extend its AI capabilities, providing customers with more powerful, scalable, and secure infrastructure.
On October 20, 2023, Okta Security identified adversarial activity that used a stolen credential to gain access to the company’s support case management system. Traditional security controls are bypassed in such attacks as bad actors assume a user’s identity and their malicious activity is indistinguishable from routine behavior.
I am excited about the potential of generative AI, particularly in the security space, she says. The opportunity to further leverage AI to enhance our security infrastructure, address threats, and enable fraud detection is immense, she says. One of them is Katherine Wetmur, CIO for cyber, data, risk, and resilience at Morgan Stanley.
IoT gives businesses many advantages: enhanced efficiency, data-driven insights, reduced costs, and faster innovation. It also introduces new security challenges that demand our attention, especially as IoT is integrated into operational technology (OT) environments.
By analyzing large volumes of clean data from various sources, such as network traffic logs and user behavior patterns, AI can correctly identify anomalies and potential security breaches that may go unnoticed by traditional security measures. Real-time processing is key to keeping systems secure and ensuring swift incident handling.
“We built this whole thing so that the models are swappable, and we’ll constantly be evaluating which models we use based on mostly price performance, but also just what the risk profile looks like to us,” says Beswick, whose team also built a security and governance platform to serve as the foundation for the firm’s AI development.
In today’s fast-paced software development landscape, managing and securing the software supply chain is crucial for delivering reliable and trusted software releases. For large companies especially, managing the secure use of 10+ technologies can be a nightmare without the right tools and processes in place.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Thus, CISOs must emphasize the need for a balance between accessibility and security and oversee the growing demand for logging and tracking capabilities. training image recognition models to misidentify objects).
Complexity is the bane of all network security teams, and they will attest that the more dashboards, screens, and manual integration they must juggle, the slower their response time. The network security solutions being used by far too many are unnecessarily complex. Now we must measure resolution in minutes or seconds.
Much of this data must adhere to regulations for organizations to remain compliant, which is why they are often housed in a secure mainframe. Bringing mainframe data to the cloud Mainframe data has a slew of benefits including analytical advantages, which lead to operational efficiencies and greater productivity.
Slowing the progression of AI may be impossible, but approaching AI in a thoughtful, intentional, and security-focused manner is imperative for fintech companies to nullify potential threats and maintain customer trust while still taking advantage of its power.
By Liia Sarjakoski, Principal Product Marketing Manager, 5G Security, for Palo Alto Network Security. Bringing resources closer to the user enables a better user experience, serving mission critical applications and taking advantage of improved economics. Effective edge security spans across all of these environments.
This is a huge advantage.” The Western Sugar/SAP solution has also helped the cooperative improve data security and privacy to ensure compliance with local and global data protection regulations. This capability enables our managers to track, manage, and pay invoices across different plants.
But even for a highly secure system like the mainframe, risks still exist. And as new technologies and approaches, like the integration of open source, find their way onto the mainframe, securing IT infrastructure is essential to business success long term. IT leaders face an increasingly complex security landscape.
We cant do that for security reasons, he says. Mitre has also tested dozens of commercial AI models in a secure Mitre-managed cloud environment with AWS Bedrock. That includes a couple of the major open source models, he says, because they offer privacy, cost advantages, and lower latency. Thats been positive and powerful.
Well-founded specialist knowledge is necessary for truly effective, secure and legally compliant implementation. Corporate digital responsibility as a seal of quality Compliance can be a decisive competitive advantage in all industries today and a prerequisite for market participation tomorrow.
“Laying the foundations for generative AI requires a business-wide approach to data-driven decision-making that empowers the entire workforce to take full advantage of the technology while offering confidence and assurance to the business that it is safe and secure to embark on this journey.
The bigplayers,such as OTAs [Online Travel Agencies], are advancing in their adoption of new technologies, taking advantage of AI andbig datatools,while other actors are in earlier stages of integration, he says. However, he adds,the maturityvaries in one of the most consolidated verticals at a national level.
“These areas of spending are not just responses to current trends but are strategic investments that will foster long-term innovation, resilience, and competitive advantage.” We’re consistently evaluating our technology needs to ensure our platforms are efficient, secure, and scalable,” he says.
To address the misalignment of those business units, MMTech developed a core platform with built-in governance and robust security services on which to build and run applications quickly. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. The biggest challenge is data.
To address the misalignment of those business units, MMTech developed a core platform with built-in governance and robust security services on which to build and run applications quickly. I want to provide an easy and secure outlet that’s genuinely production-ready and scalable. The biggest challenge is data.
Changing consumer behavior and expectations, competition from major e-retailers, evolving cybersecurity challenges, inflationary pressures, sustainability and environmental concerns, and the pressure to take advantage of AI are all very real concerns for retailers today. IDC, June 2024).
The remaining five metrics, including uptime and availability, cost control, operational efficiency, compliance, and security, are deeply rooted in traditional IT priorities. Where innovation and agility are key drivers of competitive advantage, traditional IT metrics that shaped IT for the past 50 years are insufficient.
Army Major General and Vice President and Federal Chief Security Officer for Palo Alto Networks What critical innovations can change the balance in cybersecurity, providing those of us responsible for defending our organizations with more capabilities against those who would do us harm? By John Davis, Retired U.S. government.
But its important to consider whether multiple point solutions in the AI space are worth the management overhead given the complexities of managing data privacy and security in this rapidly evolving field, he says. That takes away our competitive advantage. This applies to all technologies, not just AI.
By adopting AI-driven approaches, businesses can better anticipate potential threats, make data-informed decisions, and bolster the security of their assets and operations. The delicate balance between utilizing AI’s predictive power and guarding against its potential risks is crucial for maintaining operational security.
As competition heats up among cloud service providers, especially on the generative AI front, Oracle is focusing its energies on providing IT infrastructure that can help developers and enterprises take advantage of generative AI in their operations.
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. For example, as businesses migrate to cloud platforms, CIOs must ensure robust data protection mechanisms are in place to prevent security breaches and maintain regulatory compliance.
Open source libraries and modules have been at the heart of many of the major software supply chain security vulnerabilities in recent years – which is not surprising given that, on the whole, open source projects lack the extensive security oversight that major commercial software vendors provide.
Around a third do this on their own, but the vast majority also secure the support of a dedicated cloud or service provider. Security remains a core requirement Security is naturally an essential consideration for IT and business managers when migrating workloads to the cloud. The motives for this approach are also revealing.
It could be a retail store looking to rework outdated processes and improve the customer experience, or a healthcare network hoping to get a handle on its security posture with enhanced fraud detection. But a number of challenges stand in the way as organizations look to access that data securely and use it at scale.
We organize all of the trending information in your field so you don't have to. Join 11,000+ 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