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With 5G, the OT network is encrypted end-to-end, which enables completely secure communication between devices and systems. These security benefits are important for two reasons. Ferreira concludes: “5G is already a highly secure solution for OT and IT networks. Learn more about the NTT and PAN partnership.
The modern network security landscape is undergoing a rapid transformation, driven by the increasing complexity of business operations and the rise of new technologies. New advances like SD-WAN and Secure Access Service Edge (SASE) are helping network professionals keep pace.
Without robust security and governance frameworks, unsecured AI systems can erode stakeholder trust, disrupt operations and expose businesses to compliance and reputational risks. Senior executives are challenged with securing AI, aligning initiatives with governance frameworks and fortifying business resilience.
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. According to a Cloudera survey, 72% of business leaders agree that data governance is an enabler of business value, underscoring the critical link between secure data and impactful AI.
We interviewed 16 experts across businessintelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges.
As new technologies emerge, security measures often trail behind, requiring time to catch up. This is particularly true for Generative AI, which presents several inherent security challenges. No Delete Button The absence of a delete button in Generative AI technologies poses a serious security threat.
Securing these technologies is paramount in a region where digital infrastructure is critical to national development. As the GCC countries push ahead with digital transformation, ensuring the security of 5G, AI, and IoT ecosystems has become more complex. But security must evolve with it.”
In its Guidelines and Companion Guide for Securing AI Systems, Singapore’s Cyber Security Agency (CSA) stressed that AI systems must be secure by design and secure by default, like other digital systems.
INE Security offers essential advice to protect digital assets and enhance security. As small businesses increasingly depend on digital technologies to operate and grow, the risks associated with cyber threats also escalate. INE Security emphasizes the importance of regular training for all employees.
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.
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.
As organizations look to modernize IT systems, including the mainframe, there’s a critical need to do so without sacrificing security or falling out of compliance. With the stakes so high, IT leaders need to ensure their modernization strategies are inclusive of mainframe security. PCI DSS v4.0).
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.
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.
In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to businessintelligence. Discover the top seven requirements to consider when evaluating your embedded dashboards and reports.
Security and IT operations (SecOps) teams face serious fatigue dealing with rapidly evolving threats. The real problem is most security teams dont have enough knowledge about whats running in their IT and DevOps environments to understand, prioritize, and fix critical vulnerabilities.
A digital workspace is a secured, flexible technology framework that centralizes company assets (apps, data, desktops) for real-time remote access. HP Anyware helps keep teams productive with secured access to their digital workspaces without a VPN, using the PCoIP protocol. Why HP Anyware? Learn more here.
Introducing businessintelligence required a great deal of change management work, because from a data use that wasnt very sophisticated and organized, and very do-it-yourself, we moved to a consistent and verified data warehouse, he says.
INE Security , a global provider of cybersecurity training and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Every member of a healthcare team from physicians to IT personnel plays a role in cybersecurity, said Dara Warn, CEO of INE Security.
Lets take a closer look at how these regulations are shifting, and what organizations that depend on terminal emulation and green screens should consider to keep their systems secure. A security breach can be devastating for businesses, with the average cost in the U.S. rising by 10% in 2024, reaching its highest total ever.
Coined in 2010 by Forrester Research , the term zero trust has long been hijacked by security vendors eager to take advantage of the hype that surrounds the concept. In fact, its widespread misappropriation demonstrates the power of zero trust security. Beyond that, its not just users that need secure access. Special delivery!
Organizations are facing an upsurge in security breaches and vulnerabilities that surpass the capabilities of these longstanding security measures. The shift from on-premises work environments to more remote and digital setups has forced industries to rethink their security strategies.
That fact shifts the conversation not just to one of investment but also one of ROI: what are the right investments to make, in which technologies, and how do teams know theyre getting full business value? Consolidated network security infrastructure generated $5.4M That amounted to 10% infrastructure cost savings. in cost savings.
However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance. Without proper data governance, transparency, and security, customer data, intellectual property, or other sensitive corporate information can be fed into LLM models, risking unintended data leakage.
To bridge this critical gap, IT leaders should focus on the five Ss speed, security, scale, simplicity, and smarts to strengthen their cybersecurity and response capabilities. To address these challenges, organizations need to implement a unified data security and management system that delivers consistent backup and recovery performance.
Today, security teams worldwide are under immense pressure. Today’s cybercriminals are leveraging advanced techniques to breach security perimeters – ransomware attacks are more targeted, phishing campaigns are increasingly sophisticated, and attackers are exploiting new vulnerabilities.
With increasing data privacy and security regulations, geopolitical factors, and customer demands for transparency, customers are seeking to maintain control over their data and ensure compliance with national or regional laws. As organizations expand globally, securing data at rest and in transit becomes even more complex.
These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities? Another question is: What separates out debt thats fixed opportunistically versus critical debt that could cripple the business?
Recognizing this, INE Security is launching an initiative to guide organizations in investing in technical training before the year end. This approach not only ensures wise expenditure of remaining budgets but also significantly strengthens organizational security postures.
CIOs should adopt a proactive, preventative approach managing enterprise applications holistically to prevent security gaps before they emerge. In many cases, companies should opt for closed, proprietary AI models that arent connected to the internet, ensuring that critical data remains secure within the enterprise.
To overcome this, many CIOs originally adopted enterprise data platforms (EDPs)—centralized cloud solutions that delivered insights quickly, securely, and reliably across various business units and geographies. Now, EDPs are transforming into what can be termed as modern data distilleries.
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. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses.
Traditional approaches to cloud security cant keep up with real-time attacks. While todays CNAPPs are primarily focused on cloud posture management and have proven effective in flagging misconfigurations and ensuring security compliance, they can fall short in preventing a breach from a Zero Day attack.
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.
Security researchers are warning of a significant global rise in Chinese cyber espionage activity against organizations in every industry. It is highly likely that these investments have led to greater operational security (OPSEC) and specialization in China-linked intrusion operations, the researchers noted.
Imagine a security system that doesnt just alert you to a threat but takes immediate action to neutralize it. AI can craft phishing emails like these, which are so convincing that even the most security-conscious user might fall for it. But AIs capabilities dont stop at detection. While AI is undoubtedly powerful, its not infallible.
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?”
Deepak Jain, CEO of a Maryland-based IT services firm, has been indicted for fraud and making false statements after allegedly falsifying a Tier 4 data center certification to secure a $10.7 million contract with the US Securities and Exchange Commission (SEC). Queries to AiNET, however, did not elicit any response.
Security weaknesses arise Security and risk vulnerabilities are important signs that modernization is immediately necessary. He notes that recent surveys by Gartner and Forrester show that over 50% of organizations cite security and efficiency as their main reasons for modernizing their legacy systems and data applications.
AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. Key challenges include designing and deploying AI infrastructure, with priorities such as data security (53%), resilience and uptime (52%), management at scale (51%), and automation (50%).
As data is moved between environments, fed into ML models, or leveraged in advanced analytics, considerations around things like security and compliance are top of mind for many. In fact, among surveyed leaders, 74% identified security and compliance risks surrounding AI as one of the biggest barriers to adoption.
New security and risk solutions will be necessary as AI agents significantly increase the already invisible attack surface at enterprises. This increase will force enterprises to protect their businesses from savvy external actors and disgruntled employees to create AI agents to carry out nefarious activities, Plummer said.
Security and compliance concerns Barrier: Modernizing IT systems often involves handling sensitive data and integrating with external platforms, raising security and compliance concerns. Solution: Implement a robust security framework that includes regular risk assessments, threat modeling, and continuous monitoring.
For Du, this investment in Oracle’s sovereign cloud infrastructure is a strategic move to ensure that the UAE’s public sector embraces AI and cloud services within a framework that upholds data sovereignty and national security. Du has made it clear that security is their top priority, particularly when dealing with government data.
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