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It has become a strategic cornerstone for shaping innovation, efficiency and compliance. Data masking for enhanced security and privacy Data masking has emerged as a critical pillar of modern data management strategies, addressing privacy and compliance concerns. In 2025, data management is no longer a backend operation.
Most AI workloads are deployed in private cloud or on-premises environments, driven by data locality and compliance needs. The majority (91%) of respondents agree that long-term IT infrastructure modernization is essential to support AI workloads, with 85% planning to increase investment in this area within the next 1-3 years.
Oren Yunger is an investor at GGV Capital , where he leads the cybersecurity vertical and drives investments in enterprise IT, data infrastructure, and developer tools. When it comes to meeting compliance standards, many startups are dominating the alphabet. In reality, compliance means that a company meets a minimum set of controls.
Each interaction amplifies the potential for errors, breaches, or misuse, underscoring the critical need for a strong governance framework to mitigate these risks. Above all, robust governance is essential. As AI usage spreads, data frequently moves between different infrastructures, making it harder to keep track of and protect.
AI and machine learning are poised to drive innovation across multiple sectors, particularly government, healthcare, and finance. Data sovereignty and the development of local cloud infrastructure will remain top priorities in the region, driven by national strategies aimed at ensuring data security and compliance.
GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. With companies increasingly operating on a global scale, it can require entire teams to stay on top of all the regulations and compliance standards arising today.
In today’s fast-evolving business landscape, environmental, social and governance (ESG) criteria have become fundamental to corporate responsibility and long-term success. CIOs manage IT infrastructure and foster cross-functional collaboration, driving alignment between technological innovation and sustainability goals.
Generative AI is a major investment and requires a substantial commitment in infrastructure and talent, Manry says. Do we have the data, talent, and governance in place to succeed beyond the sandbox? They need to have the data, talent, and governance in place to scale AI across the organization, he says.
Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Malik emphasized that compliance is not just an add-on for Huawei but a core part of their comprehensive assurance mechanism. Huawei takes pride in its compliance,” Malik explained. “We
AI and Machine Learning will drive innovation across the government, healthcare, and banking/financial services sectors, strongly focusing on generative AI and ethical regulation. Data sovereignty and local cloud infrastructure will remain priorities, supported by national cloud strategies, particularly in the GCC.
Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes. Building trust through human-in-the-loop validation and clear governance structures is essential to establishing strict protocols that guide safer agent-driven decisions.
Just because you’re a startup doesn’t mean you can be careless with the data you’re handling, but enterprise-grade compliance and privacy used to be prohibitively expensive for small teams. However, meeting governance, risk and compliance (GRC) standards and proving that you’ve done so used to be very expensive.
This solution can serve as a valuable reference for other organizations looking to scale their cloud governance and enable their CCoE teams to drive greater impact. The challenge: Enabling self-service cloud governance at scale Hearst undertook a comprehensive governance transformation for their Amazon Web Services (AWS) infrastructure.
Traditional systems often can’t support the demands of real-time processing and AI workloads,” notes Michael Morris, Vice President, Cloud, CloudOps, and Infrastructure, at SAS. A cloud-first approach ensures better data security, compliance with regulations, and scalability for AI-driven innovation,” says Domingues.
Stacklet , a startup that is commercializing the Cloud Custodian open-source cloud governance project, today announced that it has raised an $18 million Series A funding round. Stacklet launches cloud governance platform with $4M seed investment. This new round brings the company’s total funding to $22 million.
There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates.
DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties. Governance and compliance reporting: Meeting governance standards is vital for avoiding fines and reputational damage.
Additionally, leveraging cloud-based solutions reduced the burden of maintaining on-premises infrastructure. Security and compliance concerns Barrier: Modernizing IT systems often involves handling sensitive data and integrating with external platforms, raising security and compliance concerns.
Savvy IT leaders, Leaver said, will use that boost to shore up fundamentals by buttressing infrastructure, streamlining operations, and upskilling employees. “As 40% of highly regulated enterprises will combine data and AI governance. That, in turn, will put pressure on technology infrastructure and ops professionals.
In the digital world, data integrity faces similar threats, from unauthorized access to manipulation and corruption, requiring strict governance and validation mechanisms to ensure reliability and trust. Regulatory and compliance challenges further complicate the issue. Security is another key concern.
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.
government agencies are required to bring their Microsoft 365 cloud services into compliance with a recent Binding Operational Directive. With this goal in mind, the Cybersecurity and Infrastructure Security Agency (CISA) created the Secure Cloud Business Applications (SCuBA) project. Heres how Tenable can help.
Detroit-based Airspace Link has positioned itself as a provider of increasingly important infrastructure in the burgeoning drone services space, letting operators get local and federal approval quickly. “We all know drones can do these things, but integration in the national infrastructure isn’t there.
As they consider upgrading their identity management solutions, they can stay with SAP as it evolves to encompass cloud and SaaS environments or migrate to a more comprehensive identity governance solution that provides deep visibility and control across the enterprise. [1] Maintaining regulatory compliance is also a must.
With generative AI on the rise and modalities such as machine learning being integrated at a rapid pace, it was only a matter of time before a position responsible for its deployment and governance became widespread. Then in 2024, the White House published a mandate for government agencies to appoint a CAIO.
Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management. The rise of AI, particularly generative AI and AI/ML, adds further complexity with challenges around data privacy, sovereignty, and governance.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. WALK: Establish a strong cloud technical framework and governance model After finalizing the cloud provider, how does a business start in the cloud?
Ecosystem warrior: Enterprise architects manage the larger ecosystem, addressing challenges like sustainability, vendor management, compliance and risk mitigation. Infrastructure architecture: Building the foundational layers of hardware, networking and cloud resources that support the entire technology ecosystem.
AI in Action: AI-powered contract analysis streamlines compliance checks, flags potential risks, and helps you optimize spending by identifying cost-saving opportunities. AI in Action: AI continuously monitors supplier performance, predicts potential risks, and ensures compliance with procurement regulations, improving your risk management.
FinOps, which was first created to maximise the use of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) models, is currently broadening its scope to include Software as a Service (SaaS). Another essential skill for managing the possible hazards of non-compliance and overuse is having a deep understanding of SaaS contracts.
Instead of overhauling entire systems, insurers can assess their API infrastructure to ensure efficient data flow, identify critical data types, and define clear schemas for structured and unstructured data. From an implementation standpoint, choose a cloud-based distillery that integrates with your existing cloud infrastructure.
“It’s important to ensure the technology function isn’t just a set of blinking lights and widgets,” says Sean Carritt, director for ICT and business systems at Infrastructure NSW, the government agency of New South Wales that identifies and prioritizes public infrastructure for economic and social benefit.
In order to make the most of critical mainframe data, organizations must build a link between mainframe data and hybrid cloud infrastructure. It enhances scalability, flexibility, and cost-effectiveness, while maximizing existing infrastructure investments. However, transferring this data to the cloud introduces new security concerns.
CIOs must tie resilience investments to tangible outcomes like data protection, regulatory compliance, and AI readiness. According to Salesforces Perez, even though AI brings much opportunity, it also introduces complexity for CIOs, including security, governance, and compliance considerations.
German software giant SAP is under investigation by US officials for allegedly conspiring to overcharge the US government for its technology products over the course of a decade. The investigation centers on more than $2 billion worth of SAP technology purchased by US government agencies since 2014.
Digital India Foundation, a policy think tank working in the areas of technology policy, digital inclusion, ethics of AI, supply-chain security, and governance of critical and emerging technologies. Effective governance and transparent processes safeguard against misuse, ensuring consistency in quality checks and regulatory compliance.
But no one talks to or notices the quiet, slightly awkward one in the room, its Data Governance. ” And yet, in almost every great technology story and every technology failure Data Governance is the silent architect whether you called it that or didnt. Compliance officers were drowning in noise!!! Dollars were invested.
In a world where software defines competitive advantage, traditional approaches to enterprise architecture focused on control, standards and governance are failing to deliver the speed and resilience businesses require. Like a citys need for reliable infrastructure and well-maintained services. Shawn McCarthy 2. Shawn McCarthy 3.
So while on the one hand, the people in the business can look at their own applications, their own solutions, from an organizational security standpoint, folks can get a completely unified view of who has access to what across SaaS, across infrastructure, across on-prem solutions, at a level of detail that is very granular.”.
Leveraging Infrastructure as Code (IaC) solutions allow for programmatic resource management, while automation and real-time monitoring are essential to maintaining consistency and minimizing operational risks. Furthermore, robust security management is critical for safeguarding identity and ensuring compliance across cloud operations.
Smile Identity , a KYC compliance and ID verification partner for many African fintechs and businesses, has acquired Inclusive Innovations, the parent company of Appruve , a Ghanaian developer of identity verification software. We want to add that depth in more markets, and Appruve gives some of that.”
Anyone working in DevOps today would likely agree that codifying resources makes it easier to observe, govern, and automate. These discrepancies undermine the consistency of cloud environments, leading to potential issues with infrastructure reliability and maintainability and even significant security and compliance risks.
In general, it means any IT system or infrastructure solution that an organization no longer considers the ideal fit for its needs, but which it still depends on because the platform hosts critical workloads. Your data governance procedures must change accordingly. What is a legacy platform, exactly? Legacy platform is a relative term.
As such, he views API governance as the lever by which this value is assessed and refined. Good governance is the telemetry on that investment, from which operational and tactical plans can be adjusted and focused to achieve strategic objectives,” he says. “In
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