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In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their riskmanagement strategies. A recent panel on the role of AI and analytics in riskmanagement explored this transformational technology, focusing on how organizations can harness these tools for a more resilient future.
Cloud technology is leading to a number of disruptive changes for many companies all over the world. One of the areas where cloud technology has had a large impact is with supply chain management. Here’s what you need to know about the uses and benefits of supply chain riskmanagement.
By Dr. May Wang, CTO of IoT Security at Palo Alto Networks and the Co-founder, Chief Technology Officer (CTO), and board member of Zingbox. At the foundation of cybersecurity is the need to understand your risks and how to minimize them. Individuals and organizations often think about risk in terms of what they’re trying to protect.
Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & RiskManagement. And banks and FS firms have been trying to drive digital for years now, for a few years now for their customers as well as for their own processes and technology.
“My position was created to be the single accountable executive for innovation, digital technologies, AI, analytics, cybersecurity and IT,” she says. “In Elevating IT To modernize Gilbane’s architecture, Higgins-Carter and her peers had to elevate innovation and technology as a core strategy for the company.
To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh.
Unified endpoint management (UEM) and medical device riskmanagement concepts go side-by-side to create a robust cybersecurity posture that streamlines device management and ensures the safety and reliability of medical devices used by doctors and nurses at their everyday jobs.
The market for AI technology is growing remarkably. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors. AI technology helps businesses respond to change and new business opportunities effectively. Leverage innovation.
Cloud technology has been instrumental in the software development sector. This is one of the many examples of how cloud technology has benefited enterprises. There are a number of ways that cloud technology is changing the software development sector is by making it easier for PSA software to reach the market.
Environmental, Social, and Governance (ESG) riskmanagement has emerged as a critical aspect of business strategy for companies worldwide. Focusing on ESG RiskManagement can help your organization become more profitable, and your organization can start on this journey today. Monitor and track ESG performance.
AI technology is helping with cybersecurity in a myriad of ways. The proliferation of cybersecurity firms reflects the increasing sophistication of cyber threats in today’s technology-driven society. Subjects such as incident response, riskmanagement, access control, and cryptography fall under this category.
It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A lot of recent technology, such as cloud computing, automation, and SEO , are already in practice. billion last year. Remote Work.
Thankfully, there are many ways you can do that by using technology and training. In this article, you will learn about six ways to prevent data breaches by using technology and training. This minimizes the risk of data breaches. Understand How Technology Works. Educate Your Employees.
CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and riskmanagement practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.
The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. Clearing business strategy hurdles Choosing the right technologies to meet an organization’s unique AI goals is usually not straightforward. But this scenario is avoidable.
As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Financial services firms have a rich tradition of being early adopters of many new technologies, and AI is no exception: Figure 1.
Managing cybersecurity and other technologyrisks will be top of mind for CIOs in 2025 across Australia and New Zealand (ANZ), with 82% of 109 respondents saying it is a key priority for next year, according to Gartner.
Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, riskmanagement , increased sustainability and other benefits. Blockchain technology ensures that it’s stored, accessed and shared quickly, accurately and transparently.
Set clear, measurable metrics around what you want to improve with generative AI, including the pain points and the opportunities, says Shaown Nandi, director of technology at AWS. This data suggests change management efforts are lagging technology efforts at many organizations.
Looking ahead, the integration of AI with other emerging technologies like quantum computing or blockchain could lead to even more comprehensive security solutions. As we stand at this technological crossroads, one thing is clear: In the ongoing battle against cyber threats, AI is not just a toolits the future of the entire battlefield.
A variety of roles in the enterprise require or benefit from a GRC certification, such as chief information officer, IT security analyst, security engineer architect, information assurance program manager, and senior IT auditor , among others.
But devsecops roles are also stressful when teams feel pressure to deliver capabilities, resolve defects, and keep up with the latest technologies. The risks of burnout mount because of higher business expectations of delivering new technology capabilities, leading change management activities , and ensuring systems are operational.
“This often resulted in lengthy manual assessments, which only increased the risk of human error.” This is the moment when the bundling of AI technologies transitioned to a real-time cyber wizard capable of providing CMMC guidance through voice and text. To address compliance fatigue, Camelot began work on its AI wizard in 2023.
Almost always, it takes time for organizations to absorb new technology, so earlier adopters can exploit the benefit of having addressed the people and process challenges sooner and gain a competitive advantage, greater profitability, access to talent and other benefits. Waiting too long to start means risking having to play catch-up.
It was time to take their technology to the next level – a new ERP in the cloud, that would be able to move more quickly and at the same time. But the leaders of Carrefour’s Brazil unit were concerned that their old Enterprise Resource Planning (ERP) system would not be able to keep up with the demands of a post-pandemic world.
Credit: The Business Impact of Downtime Across Operational Segments , IDC, September 2024; IDC IT/OT Convergence Survey, August 2024, n = 1,041 When ransomware strikes (a disaster almost all technology leaders will experience), the disruption can last for days or even weeks. Then, assess the risk likelihood versus impact.
To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. That includes IT, to align AI technologies with existing infrastructure; HR, on workforce development; finance, to understand funding and new business cost models; and legal and compliance, to ensure responsible use of AI.
Under the aegis of digital transformation, IT initiatives have become more customer-centric, with a greater emphasis on people, not technology — all in an effort to redefine how the organization operates and to ensure it can keep up with the pace of change, capable of dealing with challenges and taking advantage of opportunities as they arise.
In addition to newer innovations, the practice borrows from model riskmanagement, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all riskmanagement teams.
Although AI, machine learning, and generative AI — the more recent entrant in the space — are not new, they are becoming more mature, mainstream technologies. Those projects include implementing cloud-based security, anti-ransomware, and user behavior analytics tools, as well as various authentication technologies. Foundry / CIO.com 3.
Vendor riskmanagement Assess vendor capabilities: Regularly evaluate the riskmanagement and disaster recovery capabilities of key vendors. This knowledge can inform your own riskmanagement and business continuity strategies. Learn more about IDC’s research for technology leaders.
The transformative impact of artificial intelligence (AI)and, in particular, generative AI (GenAI)emerged as a defining theme at the CSO Conference & Awards 2024: Cyber RiskManagement. The technological dimensions of AI adoption added another layer of complexity to the conversations.
Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in riskmanagement operations. Big Data can efficiently enhance the ways firms utilize predictive models in the riskmanagement discipline. Big Data provides financial and banking organizations with better risk coverage.
But those tasks have become increasingly critical to organizational success in the modern era, as the number of laws, the complexity of doing business, the types of risks, and the use of technology have exploded in recent decades. Best practices, framework and technology have been developed to support this work.
While human-written code can also infringe on copyright or violate open-source licenses, the risk with AI-generated code is related to the data the AI is trained on, says Ilia Badeev, head of data science at Trevolution Group, a travel technology company. There’s a good chance many AI agents are trained on code protected by IP rights.
This will undoubtedly raise questions and concerns from executives about how to ensure the reliability of enterprise systems, especially with technology as integrated into day-to-day operations as cybersecurity software.” Enhanced riskmanagement practices The incident has highlighted the need for improved riskmanagement practices.
AI is particularly helpful with managingrisks. How AI Can Help Suppliers ManageRisks Better. AI technology has been helpful for businesses in different industries for years. The benefits of AI stem from the need to manage close relationships with business stakeholders, which is a difficult task.
Overwhelming majorities of executives around the world are planning to spend money on generative AI this year, but very few are truly ready for the technology, according to a survey released today by the Boston Consulting Group. It’s just a wonderful catalyst to put the AI topics on the table,” he said. “It Generative AI
ISO/IEC 42001, meanwhile, specifies the International Organization for Standardization’s requirements for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System (AIMS) within organizations. “AI AI technology adoption is already widespread,” RAI Institute said.
Generative AI represents the next generation of this technology, and we are currently working on several ways we can effectively leverage it — both in our products and in our business.” As exchanges were modernizing, they looked at the cost benefit and realized it was better to buy Nasdaq’s technology,” Peterson says.
Shortcomings in incident reporting are leaving a dangerous gap in the regulation of AI technologies. The UK government’s Department for Science, Innovation & Technology (DSIT) lacks a central, up-to-date picture of incidents involving AI systems as they emerge, according to CLTR.
Determining the right mix of technologies and methodologies to support an entire organization can be overwhelming – and can keep IT leaders up at night. A hybrid cloud approach allows technology professionals to leverage the best of both worlds. RiskManagement: Riskmanagement is a critical focus for technology professionals.
While some providers initially sought to implement radical transformation to cloud technologies, almost none have been able to replace their legacy IT. As a result, many ordinary financial transactions now rely on multiple types and ages of technology. In this situation, complexity will always increase.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. as AI adoption and risk increases, its time to understand why sweating the small and not-so-small stuff matters and where we go from here. Thats an additional hand-wringing dilemma shared by technology executives.
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