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These advancements offer immense economic growth and innovation potential, but they also introduce new cybersecurity challenges. Securing these technologies is paramount in a region where digital infrastructure is critical to national development. Huawei takes pride in its compliance,” Malik explained. “We
For this reason, the AI Act is a very nuanced regulation, and an initiative like the AI Pact should help companies clarify its practical application because it brings forward compliance on some key provisions. Inform and educate and simplify are the key words, and thats what the AI Pact is for.
Traditional security approaches have become unsustainable for technology leaders navigating todays complex threat landscape. Information risk management is no longer a checkpoint at the end of development but must be woven throughout the entire software delivery lifecycle.
INE Security , a global provider of cybersecurity training and certification, today announced its initiative to spotlight the increasing cyber threats targeting healthcare institutions. Healthcare cybersecurity threats and breaches remain the costliest of any industry with the average data breach in a hospital now costing about $10.93
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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. He was previously chief informationsecurity officer at a SaaS company and a public financial institution. So why is compliance alone not enough?
At Palo Alto Networks, we've pioneered the integration of AI-driven solutions specifically designed to empower security teams and enhance operational efficiencies. Availability of AI Copilots Palo Alto Networks AI copilots are already transforming the way cybersecurity professionals interact with their technology environments.
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.
Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance. AI operations, including compliance, security, and governance. AI ethics, including privacy, bias and fairness, and explainability.
However, this leap in computing power poses significant challenges, particularly for cybersecurity, which forms the backbone of data protection in our digital world. This possibility is alarming, as it could make current encryption techniques obsolete, putting businesses, governments, and individuals at risk.
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.
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. Organizations fear that new technologies may introduce vulnerabilities and complicate regulatory compliance.
However, the real breakthrough is in the convergence of technologies that are coming together to supercharge 5G business transformation across our most critical infrastructure, industrial businesses and governments. And its definitely not enough to protect enterprise, government or industrial businesses.
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.
There is a pending concern about how to manage AI agents in the cloud, says Dave McCarthy, research vice president at IDC, noting that the expanding availability of AI agents from startups and established vendors will give CIOs asset management, security, and versioning challenges.
The respondents were from 14 countries and seven industries: consumer; energy; resources and industrials; financial services; life sciences and healthcare; technology, media, and telecom; and government and public services. And its not just an AI thing.
Evolving Role and Responsibilities of CISOs The role of the Chief InformationSecurity Officer is expanding. Furthermore, as business and technology become increasingly intertwined, the role of the Chief InformationSecurity Officer has become crucial in bridging this gap.
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.
Data sovereignty has emerged as a critical concern for businesses and governments, particularly in Europe and Asia. 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.
If your business is online and collecting customer personal information, your business is dealing in data, which means data privacy compliance regulations will apply to everyone — no matter the company’s size. If the data of 1,000 customers is compromised in a cybersecurity incident, that would add up to $7.5
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.
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. Ensure security and access controls. Ensure data governance and compliance. Choose the right tools and technologies.
The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Stanley also notes that “technology advances, like AI, IoT and cloud computing, have also introduced compliance challenges and new cybersecurity threats.”
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.
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.
Every day, modern organizations are challenged with a balancing act between compliance and security. While compliance frameworks provide guidelines for protecting sensitive data and mitigating risks, security measures must adapt to evolving threats.
On the contrary, poor planning and design decisions could result in a scenario where modernization spawns more cost, security and/or IT management problems than it solves. Protect data security and privacy Along similar lines, ensuring data security and privacy shouldnt be something you do after modernization is complete.
This award-winning access management project uses automation to streamline access requests and curb security risks. Access management is crucial in the legal world because cases depend on financial records, medical records, emails, and other personal information.
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.
AI in Action: AI-powered contract analysis streamlines compliance checks, flags potential risks, and helps you optimize spending by identifying cost-saving opportunities. CIOs Need to Upskill Their Teams in AI and Cybersecurity The Challenge: 62% of IT leaders told IDC that a lack of skills had resulted in missed revenue growth objectives.
As such, cloud security is emerging from its tumultuous teenage years into a more mature phase. The initial growing pains of rapid adoption and security challenges are giving way to more sophisticated, purpose-built security solutions. This alarming upward trend highlights the urgent need for robust cloud security measures.
In a world where digital threats loom large, cybersecurity leadership has become paramount. Recognizing the crucial role of cybersecurity leaders in safeguarding the nation’s digital infrastructure, the first edition of the CSO30 Awards recently took place in Dubai, showcasing the cream of the crop in the field.
Enter Securiti , a startup launched in 2019, originally with the idea of focusing on one aspect of data control, data privacy. But the company had the vision of building a broad platform of services to deal with not just privacy, but also data security, governance and compliance. It seems to be working.
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 a recent global survey , 86% of participants said their organizations had dedicated budget to generative AI, but three-quarters admitted to significant concerns about data privacy and security. Compliance is necessary but not sufficient. A solid governance structure addresses ethical issues related to AI across the organization.
Prediction #3: Superior guardrails and governance will spur innovation. Governance and compliance through silos will finally be a thing of the past. Advances in AI and ML will automate the compliance, testing, documentation and other tasks which can occupy 40-50% of a developers time.
The cybersecurity industry will experience tectonic shifts in 2025, unlike any we’ve seen in years past. These historic transformations will see the convergence of AI, data and platform unification, altogether changing how both cybersecurity defenders and attackers will operate and innovate.
In this exclusive interview, we sit down with Anoop Kumar, Head of InformationSecurityGovernance Risk and Compliance at GulfNews, Al Nisr Publishing, to discuss the evolving challenges of cybersecurity in the media industry. What are the most prevalent types of threats to network security in recent years?
The group includes prominent figures like AI pioneer Yoshua Bengio, former UK government adviser Nitarshan Rajkumar, and Stanford University fellow Marietje Schaake. Following that, the completed code of practice will be presented to the European Commission for approval, with compliance assessments beginning in August 2025.
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.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. Key challenges CISOs are and should be concerned about several AI-related areas in their cybersecurity pursuits. As AI solutions become more pervasive , its time to advance these organizational efforts in 2025.
Governance and risk management in technology initiatives While agile methodologies promote flexibility, governance and risk management are critical for ensuring that technology initiatives remain aligned with business priorities.
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