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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. The Pact is structured around two pillars.
Data silos, lack of standardization, and uncertainty over compliance with privacy regulations can limit accessibility and compromise data quality, but modern data management can overcome those challenges. It enables organizations to efficiently derive real-time insights for effective strategic decision-making.
Mitigating infrastructure challenges Organizations that rely on legacy systems face a host of potential stumbling blocks when they attempt to integrate their on-premises infrastructure with cloud solutions. Check out this webinar to get the most from your cloud analytics migration.
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.
1 - CSA: How to prevent “shadow AI” As organizations scale up their AI adoption, they must closely track their AI assets to secure them and mitigate their cyber risk. You may find useful ideas in the Cloud Security Alliance’s new “ AI Organizational Responsibilities: Governance, Risk Management, Compliance and Cultural Aspects ” white paper.
In our recent webinar, “Enhancing Trust in Healthcare,” experts David Allen and Michael Porter , along with Appian ’s Matt Collins, addressed the concerning decline in consumer trust within the healthcare sector. Our experts shared insights on how healthcare organizations can rebuild confidence and ease experiences.
It enables organizations to extract valuable information from multimodal content unlocking the full potential of their data without requiring deep AI expertise or managing complex multimodal ML pipelines. It adheres to enterprise-grade security and compliance standards, enabling you to deploy AI solutions with confidence.
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.
Plus, a new guide says AI system audits must go beyond check-box compliance. The advisory also offers prevention and mitigation recommendations both to end-user organizations, and to software vendors and developers. Check out the CVEs attackers targeted the most last year, along with mitigation tips. and the U.S.
This convergence of advanced AI attack tools and abundant data will make it increasingly difficult for organizations to stay ahead of evolving cyberthreats. Thus, multi-cloud environments will become the norm in 2025, as organizations avoid vendor lock-in and increase their cloud options and flexibility.
While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. For healthcare organizations, what’s below is data—vast amounts of data that LLMs will have to be trained on. Consider the iceberg analogy.
This pushed C-level executives and boards to adopt measures for compliance and transparency. In this post, we look at the enforcement actions the SEC has taken and what public company CISOs should do to stay in compliance. Recognizing the critical need for transparency and robust cybersecurity measures, the U.S. Avaya Holdings Corp.,
Legacy cybersecurity solutions are often unable to manage — let alone secure — the sheer volume of data and the variety of ways it is accessed, leaving organizations exposed to malicious actors. At the same time, financial institutions must keep up with new and evolving compliance standards and regulations set forth by governing bodies.
As organizations build their AI factories today in this new era, IT leaders have an opportunity to learn from their cloud-first sins of the past and strategically build in a way that prioritizes security, governance, and cost efficiencies over the long term, avoiding errors that might need to be corrected down the line. trillion to $4.4
For an update on Datameer's new data governance capabilities sign up for their 23 June 2015 webinar here. More on the webinar from their website: Crack the Code on Big Data Governance. Organizations are all asking: “ Can I find that needle in the haystack? Regulatory Compliance. Impact Analysis & Versioning Controls.
It serves as a professional employer organization (PEO), enabling companies to recruit new remote employees around the world and automating regional compliance paperwork. About 75% of Employment Hero’s customer base upgraded their subscriptions to include tools for remote work management, compliance and employee wellness services.
Improved security and compliance: Code Harbor doesnt store or use customer data for training or fine-tuning models, and businesses can choose which large language models to use to best protect their data: open source or proprietary, on-premises or in the cloud.
Failure from siloed, heterogeneous tools to provide the visibility needed for proactive data security Recommendations include adopting unified platforms for security, compliance and risk management. So what can organizations do to attract and retain tech talent?
At NetApp, we recognize that AI is not merely a technological toolits a transformative mindset that can reshape organizations and industries. Azures generative AI solutions integrate seamlessly with Microsofts ecosystem, offering a cohesive experience for organizations heavily invested in their products.
Data privacy is the control of data harvested, stored, utilized, and shared in compliance with data protection regulations and privacy best practices. It enables enterprises to organize their data structure and manage all data, including data sources and data sets. Data privacy needs to be a proactive action.
When cybersecurity systems are spread out, different teams within the same organization end up doing the same work wasting taxpayer dollars and slowing down threat response. Utilizing systems powered by AI is critical to minimizing MTTD and MTTR for organizations, further freeing up the federal workforce and maximizing efficiency efforts.
At the same time, it reduces risk by ensuring that all data is under control, avoiding inconsistencies, and adhering to a single source of truth. In a recent IDC Infobrief , more than half of respondents report that regulatory compliance is a primary factor in deciding how and where they store enterprise data.
However, the process for organizations to transition towards quantum-resistant cryptography will be lengthy and complicated. Source: 138 webinar attendees polled by Tenable, February 2025) Interested in learning how Tenables security team uses Tenable Cloud Security to safeguard our cloud environments? Check out how they responded.
Zero Trust adoption is accelerating, with over half of organizations reporting they have adopted Zero Trust Security, according to research independently conducted by leading security research firm Ponemon Institute, sponsored by Hewlett Packard Enterprise. Organizations are looking for ways to reduce cyberattack risk. “To
However, success requires strategic foresight to navigate challenges in compliance, operational efficiency, and trust-building. These regulations demand that AI be specifically tailored to ensure data privacy, security, and compliance, limiting the utility of plug-and-play approaches seen in other industries.
Companies that have embraced the cloud need to understand the Shared Responsibility Model: a security and compliance framework that explains what shared infrastructure and systems the cloud provider is responsible for maintaining and how a customer is responsible for operating systems, data, and applications utilizing the cloud.
Once the Windows 7 end of life (EOL) date arrives, sensitive healthcare data will be vulnerable to security breaches if new software vulnerabilities are disclosed, jeopardizing your organization’s reputation. There are also, of course, considerable financial risks associated with HIPAA non-compliance. . Register Now! .
But not all organizations that store and process sensitive customer data are fully aware that a chink in infrastructure can break our digital trust. To find out more, sign up for the Orange Business Webinar here. [1] There is an explosion of personal data about what we buy, where we go, and what we watch.
These regulations demand that healthcare AI be specifically tailored to ensure data privacy, security, and compliance, limiting the utility of plug-and-play approaches seen in other industries. This approach ensures that AI drives tangible value, tailored to the unique needs and strengths of the organization.
Operating Smarter with Salesforce + Slack is a 3-part webinar series hosted by our Salesforce Practice Lead Daniel Peter , a 7x Salesforce MVP with 30+ certifications! Drawing on first hand experience, they also cover best practices for building and using Slack apps to meet security and compliance needs.
Organizations that use public clouds like Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) understand that each platform does things its own way, and those differences create challenges for securing them all. Check out the highlights of our discussion. Look how easy that was!’,” Feigenson said.
The webinar covered three pivotal aspects: Seamless Migration, Future-Ready Strategies, and the PWA Revolution. Seamless Migration: Composable Storefronts and Accelerators The webinar initiated with a comprehensive exploration of seamless migration strategies. You can catch the entire webinar right here !
Traditionally detached disciplines, ITSM ensures timely delivery of essential services and support for the enterprise, while ITAM discovers and tracks the hardware and software assets for those services and optimizes the overall value, costs and compliance across the asset lifecycle. Catch Our Webinar Replay.
As industry and data privacy regulation are increasing, organizations more often than not err on the side of security which frustrates end users, limits agility, and makes for longer time to insight and value. Its capabilities provide the key ingredients that let organizations eliminate the need to choose between security and usability.
So it seemed timely to poll our webinar attendees on their cybersecurity spending priorities. 21% of organizations are consolidating security vendors; 25% are considering it. Ransomware has thrived through constant evolution, becoming a multimillion-dollar, self-sustaining industry and a major cyberthreat to all organizations.
Becoming a data-driven organization is not exactly getting any easier. Especially for multinational organizations, compliance must be enforced and proven not just at a corporate level but also across multiple regional levels, each with their own variations and intricacies. Know how you implement and prove compliance.
Developed by NERC, an independent, not-for-profit organization whose mission is to ensure the reliability of the bulk power system in North America, and given the force of law by the Federal Energy Regulatory Commission (FERC) in early 2008, the standards are intended to compel energy companies and utilities to focus more heavily on cyber-security.
Without a unified approach, many organizations struggle to gain visibility into these devices and their associated asset relationships and vulnerabilities. As a result, many organizations are left vulnerable, with security leaders wondering how to effectively manage the security of these devices.
Unfortunately, most organizations struggle with Active Directory security due to misconfigurations piling up as domains increase in complexity, leaving security teams unable to find and fix flaws before they become business-impacting issues. . Regulatory compliance does not equal security.
Organizations worldwide face increasing scrutiny, from pressure to adhere to new and updated cyber regulations for critical infrastructure to increasing their adoption of OT security best practices. This requires organizations to take a more holistic view of their security practices in the year ahead.
You have limited resources to manage security and compliance (HIPAA, SOC2, GDPR, etc.). Compliance such as HIPAA and SOC2 are assessed at platform level and DevSecOps automation is built into each step of the pipeline managed by Progress. Get a Deeper Look by Attending this Webinar. A Deeper Dive Into Progress Kinvey.
You have limited resources to manage security and compliance (HIPAA, SOC2, GDPR, etc.). Compliance such as HIPAA and SOC2 are assessed at platform level and DevSecOps automation is built into each step of the pipeline managed by Progress. Get a Deeper Look by Attending this Webinar. A Deeper Dive Into Progress Kinvey.
You have limited resources to manage security and compliance (HIPAA, SOC2, GDPR, etc.). Compliance such as HIPAA and SOC2 are assessed at platform level and DevSecOps automation is built into each step of the pipeline managed by Progress. Get a deeper look by attending this webinar. A Deeper Dive Into Progress Kinvey.
As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. Many organizations have invested in automation programs to automate the back-office manual processes and provide business value to their organizations.
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