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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?
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.
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.
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.
But if everyone knows that the development team is the lifeblood of your application and company, why are they often saddled with embedded technologies they don’t enjoy using? That means easy embedding, data integrations, seamless automation, total security, and much more. Here at Qrvey, we’re built for the way you build software.
Enterprise applications have become an integral part of modern businesses, helping them simplify operations, manage data, and streamline communication. However, as more organizations rely on these applications, the need for enterprise applicationsecurity and compliance measures is becoming increasingly important.
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
Plus, learn why GenAI and data security have become top drivers of cyber strategies. And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. Looking for help with shadow AI? Want to boost your software updates’ safety? New publications offer valuable tips.
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.
In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale. Our eBook covers the importance of secure MLOps in the four critical areas of model deployment, monitoring, lifecycle management, and governance.
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.
Cloud skills include programming languages, database management, DevOps, security, containerization and microservices, data visualization, AI and ML, and automation. Examples include software such as Slack, Salesforce CRM, and Microsoft 365, which all offer web and application-based software services for customers.
In this special edition, we’ve selected the most-read Cybersecurity Snapshot items about AI security this year. ICYMI the first time around, check out this roundup of data points, tips and trends about secure AI deployment; shadow AI; AI threat detection; AI risks; AI governance; AI cybersecurity uses — and more.
For instance, Capital One successfully transitioned from mainframe systems to a cloud-first strategy by gradually migrating critical applications to Amazon Web Services (AWS). Organizations fear that new technologies may introduce vulnerabilities and complicate regulatory compliance.
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. As digital transformation accelerates, so do the risks associated with cybersecurity.
However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support.
If not, Thorogood recommends IT leaders build platforms that savvy business managers can use and encourage or require compliance with enterprise standards and processes. Double down on cybersecurity In 2025, there will be an even greater need for CIOs to fully understand the current cybersecurity threat landscape.
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.
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.
As operational technology (OT) environments undergo rapid digital transformation, so do their security risks. We’re pleased to announce new advancements in our OT Security solution designed to address these evolving risks. These advancements ensure seamless security while minimizing the risk of disruption.
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
For now, we consider eight key dimensions of responsible AI: Fairness, explainability, privacy and security, safety, controllability, veracity and robustness, governance, and transparency. These dimensions make up the foundation for developing and deploying AI applications in a responsible and safe manner.
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.
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.
Its all the areas around it that have to come into alignment: the data, security, governance, the controls, and the risk, legal, and compliance departments all working together with IT functions and business leaders. Gaining momentum To date, the IT function has had the most success getting value from gen AI.
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.
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.
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.
When addressed properly , application and platform modernization drives immense value and positions organizations ahead of their competition, says Anindeep Kar, a consultant with technology research and advisory firm ISG. The bad news, however, is that IT system modernization requires significant financial and time investments.
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.
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.
Legacy platforms meaning IT applications and platforms that businesses implemented decades ago, and which still power production workloads are what you might call the third rail of IT estates. Compatibility issues : Migrating to a newer platform could break compatibility between legacy technologies and other applications or services.
Emmelibri Group, a subsidy of Italian publishing holding company Messaggerie Italiane, is moving applications to the cloud as part of a complete digital transformation with a centralized IT department. We’re an IT company that’s very integrated into the business in terms of applications, and we put innovation at the center.
Next in queue is exploration of agentic AI applications to automate core processes. 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. Oshkosh Corp.
tagging, component/application mapping, key metric collection) and tools incorporated to ensure data can be reported on sufficiently and efficiently without creating an industry in itself! Data protection and privacy: Ensuring compliance with data regulations like GDPR and CCPA. This requires long-term thinking and investment.
Small language models (SLMs) are giving CIOs greater opportunities to develop specialized, business-specific AI applications that are less expensive to run than those reliant on general-purpose large language models (LLMs). Tuned, open-source small language models run behind firewalls solve many of the security, governance, and cost concerns.
Virtually every company relied on cloud, connectivity, and security solutions, but no technology organization provided all three. Leaders across every industry depend on its resilient cloud platform operated by a team of industry veterans and experts with extensive networking, connectivity, and security expertise.
Wondering what cybersecurity trends will have the most impact in 2025? Check out six predictions from Tenable experts about cyber issues that should be on your radar screen in the new year including AI security, data protection, cloud security and much more! After all, data is the fuel that powers businesses.
In the first installment of our Stronger Cloud Security in Five blog series, we outline five best practices for boosting your cloud configuration management. A misconfigured web application firewall. Mismanaging configurations in your multi-cloud environment can put you at an elevated risk for cyber attacks.
This is particularly important for our customers functioning in highly regulated industries who have to keep up with continually changing security, privacy, and compliance requirements. This means approaching security as an integral and continuous part of the cycle. However, sometimes it is not enough.
As concerns about AI security, risk, and compliance continue to escalate, practical solutions remain elusive. AI is no different from other applications or cloud environments already covered by existing defenses and processes. As AI solutions become more pervasive , its time to advance these organizational efforts in 2025.
A Rocket Software survey found that over half (51%) of IT leaders rely on mainframe systems to handle all, or nearly all, core business applications. Despite the importance of the mainframe, it has been neglected over the years with organizations focusing on perimeter security.
Facing increasing demand and complexity CIOs manage a complex portfolio spanning data centers, enterprise applications, edge computing, and mobile solutions, resulting in a surge of apps generating data that requires analysis. Enterprise IT struggles to keep up with siloed technologies while ensuring security, compliance, and cost management.
The CISA Known Exploited Vulnerabilities (KEV) catalog and enhanced logging guidelines are among the new measurement tools added for the 2024 State and Local Cybersecurity Grant Program. Last month, the Department of Homeland Security announced the availability of $279.9 Applications must be submitted by December 3, 2024.
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