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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.
These advancements offer immense economic growth and innovation potential, but they also introduce new cybersecurity challenges. New technologies like AI and IoT are coming into play,” he said, underscoring how these innovations are driving transformation across sectors. “New
In the rapidly evolving world of cybersecurity, few leaders embody the perfect intersection of strategic foresight, technical depth, and business acumen, quite like Marc Crudgington. Cybersecurity is like the brakes on your Ferrari, Marc explains. A former U.S. His mission? Efficiency and enablement.
The Middle East is rapidly evolving into a global hub for technological innovation, with 2025 set to be a pivotal year in the regions digital landscape. AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance.
IT leaders know the importance of compliance at every level, but the database often gets left behind as other environments are automated for robust protection. This whitepaper emphasizes the importance of robust, auditable, and secure database change management practices for safeguarding organizational compliance.
The EU has completed a very important initiative by approving one of the worlds first regulations on AI, in an anthropocentric function, protecting fundamental rights and guaranteeing innovation, Valentini continues. Inform and educate and simplify are the key words, and thats what the AI Pact is for.
Innovator/experimenter: enterprise architects look for new innovative opportunities to bring into the business and know how to frame and execute experiments to maximize the learnings. Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA. This requires long-term thinking and investment.
At Palo Alto Networks, we've pioneered the integration of AI-driven solutions specifically designed to empower security teams and enhance operational efficiencies. Our latest innovation, the AI Copilots , stands at the forefront of this revolution.
It has become a strategic cornerstone for shaping innovation, efficiency and compliance. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. In 2025, data management is no longer a backend operation.
AI, once viewed as a novel innovation, is now mainstream, impacting just about facet of the enterprise. Over the next 12 months, IT leaders can look forward to even more innovations, as well as some serious challenges. As 2025 dawns, CIOs face an IT landscape that differs significantly from just a year ago.
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.
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.
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. What Can Be Done Today?
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. The compay fostered a culture of innovation by involving employees in the modernization process and addressing their concerns.
AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Adopting multi-cloud and hybrid cloud solutions will enhance flexibility and compliance, deepening partnerships with global providers.
However, as more organizations rely on these applications, the need for enterprise application security and compliance measures is becoming increasingly important. Breaches in security or compliance can result in legal liabilities, reputation damage, and financial losses.
The first is to foster a culture of agility, collaboration, and AI-driven innovation, driven in part by our new Office of AI. And third, systems consolidation and modernization focuses on building a cloud-based, scalable infrastructure for integration speed, security, flexibility, and growth. Its a three-pronged effort.
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.
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.
As operational technology (OT) environments undergo rapid digital transformation, so do their security risks. Protecting industrial setups, especially those with legacy systems, distributed operations, and remote workforces, requires an innovative approach that prioritizes both uptime and safety.
Enterprise use of artificial intelligence comes with a wide range of risks in areas such as cybersecurity, data privacy, bias and discrimination, ethics, and regulatory compliance. An AI GRC plan allows companies to proactively address compliance instead of reacting to enforcement, Haughian says.
Other key uses include fraud detection, cybersecurity, and image/speech recognition. Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. Data security, data quality, and data governance still raise warning bells Data security remains a top concern.
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment. To respond, CIOs are doubling down on organizational resilience.
Focused on digitization and innovation and closely aligned with lines of business, some 40% of IT leaders surveyed in CIO.com’s State of the CIO Study 2024 characterize themselves as transformational, while a quarter (23%) consider themselves functional: still optimizing, modernizing, and securing existing technology infrastructure.
This data and the systems that they process underpin some of the most fundamental functions in modern society, from the provision of food, water, power to the management of welfare, finance and national securityinformation. A secure browser operates as a secure, managed web browsing solution tailored for organisational use.
Security was another constant challenge. In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks.
One Identity , a leader in unified identity security, today announced that One Identity Active Roles has been named a winner in the Hybrid Active Directory Protection category of the 2025 Cybersecurity Excellence Awards. This year marks the 10th anniversary of the awards, making this recognition particularly meaningful.
Lastly, voluntary frameworks have been proposed by many countries such as Singapore and Japan, to encourage AI innovation. China follows the EU, with additional focus on national security In March 2024 the Peoples Republic of China (PRC) published a draft Artificial Intelligence Law, and a translated version became available in early May.
He explains that enterprise leaders, from the C-suite down, wrestle with the tension between innovation and regulation, which has been a significant contributor to slowing down gen AI projects. Rowan says 28% of respondents say their most advanced gen AI initiative is in the IT function, with cybersecurity initiatives coming in second.
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
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.
The financial and security implications are significant. Maintaining legacy systems can consume a substantial share of IT budgets up to 70% according to some analyses diverting resources that could otherwise be invested in innovation and digital transformation. In my view, the issue goes beyond merely being a legacy system.
Core principles of sovereign AI Strategic autonomy and security Countries, whether individually or collectively, want to develop AI systems that are not controlled by foreign entities, especially for critical infrastructure, national security, and economic stability.
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.
CIOs lead digital transformation with strategic foresight, technical expertise, and a focus on cybersecurity and customer strategies. A key insight from my initial 30 days at Nutanix, informed by discussions with over 30 stakeholders, highlighted the necessity of refining our strategies. Addressing cybersecurity is paramount.
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.
In 2024, AI didnt make the first cut as CEOs directed IT leadership to prioritize digital transformation initiatives, fortifying IT and business collaboration, and upleveling security to reduce corporate risk. Meeting compliance requirements also topped the list, cited by 35% of respondents.
The challenges don’t end once those requirements are met, as the project teams need to secure executive buy-in, which may be hindered by resistance to new technologies. A cloud-first approach ensures better data security, compliance with regulations, and scalability for AI-driven innovation,” says Domingues.
Technology has shifted from a back-office function to a core enabler of business growth, innovation, and competitive advantage. Senior business leaders and CIOs must navigate a complex web of competing priorities, such as managing stakeholder expectations, accelerating technological innovation, and maintaining operational efficiency.
He says even if no one can be 100% comfortable with the quality and quantity of the data fueling AI systems, they should feel confident that the quality and quantity are high enough for the use case, that the data is adequately secured, and that its use conforms to regulatory requirements and best practices such as those around privacy.
We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center. Led by Pacetti, the company was able to reduce many variables in a complex system, like online sales and payments, data analysis, and cybersecurity. “We
For domain-centric solutions such as in the banking or energy sector, SLM is the way to go for agility, cost-effective resources, rapid prototype and development, security, and privacy of organizational data, Kasthuri says. Thats 100% accurate, says Patrick Buell, chief innovation officer at Hakkoda, an IBM company.
To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. Readers will learn the key design decisions, benefits achieved, and lessons learned from Hearst’s innovative CCoE team. This post is co-written with Steven Craig from Hearst.
Prediction #3: Superior guardrails and governance will spur innovation. Governance and compliance through silos will finally be a thing of the past. In 2025, the best data platforms will enable previously unheard-of levels (and ease) of the multi-party collaboration required for real innovation.
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