Latest news with #dataGovernance
Tahawul Tech
2 days ago
- Business
- Tahawul Tech
'It's time to stop managing storage and start managing data.' Charles Giancarlo, Pure Storage CEO
Pure Storage has introduced the Enterprise Data Cloud (EDC), a bold new standard in data and storage management simplicity that enables organizations to focus on business outcomes, not infrastructure. Fuelled by AI, data volumes are rising and business demands are evolving faster than ever. Traditional storage models create fragmentation, silos, and uncontrolled data sprawl. Organizations must adapt by shifting their mindset from managing storage to understanding how, where, and why their data is used. This will empower companies to reduce risks, costs, and operational inefficiencies. Solving the Problem of Data Management with an Enterprise Data Cloud An EDC is an industry-changing architectural approach to data storage and management. It gives organizations the ability to easily manage their data across their estate with unrivaled agility, efficiency and simplicity. With an EDC architecture, IT teams centrally manage a virtualized cloud of data with unified control — spanning on-premises, public cloud, and hybrid — enabling intelligent, autonomous data management and governance across the entire environment. Delivering the Enterprise Data Cloud with the Pure Storage Platform With an EDC architecture, organizations are better equipped to manage data at scale, reducing risk, and gaining increased control and insight across all environments. Redefining how data is delivered, governed, and consumed, the Pure Storage platform allows customers to build out their own EDC. The platform gives organizations the ability to unify data from across their estate into a virtualized cloud of data that is governed by an intelligent control plane for easy management, and delivered as a service. 'It's time to stop managing storage and start managing data. With AI increasing the potential value of enterprise data, and cyber-threats imperiling it, data storage architectures and the tools for managing data have not kept pace. Only Pure Storage has innovated an architectural approach that enables enterprise customers to manage their global data estate. Pure Fusion allows customers to create their own global Enterprise Data Cloud empowering them to manage their data with the control, automation and tracking needed to lead in a data-driven world,' said Charles Giancarlo, Chairman and CEO, Pure Storage. At the heart of this autonomous platform is Pure Fusion™, unifying storage as a pool of adaptable resources. Pure Fusion is natively built into the arrays, which are self-discoverable so they can automatically discover a broader fleet without requiring in-depth storage admin configuration. Administrators can manage the fleet from any system because every array is an endpoint. NEW: Pure Fusion with Workload Automation Pure Fusion now has presets and remote provisioning for fleetwide file, block and object. Admins have increased flexibility based on the specific needs of each workload and no longer need to pre-plan and tune deployments, which reduces risk of non-compliance and improves resiliency by ensuring that workloads are provisioned correctly from the beginning. Reducing the Risk of Human Error and Strengthening Security Today, enterprises struggle with increased risk, lack of compliance and inefficiencies resulting from manual operations around provisioning, migration and more. To eliminate these issues, automation spans the full stack of the platform with policy-driven orchestration and self-service capabilities. Built-in compliance and improved cyber resilience embedded across the platform further minimize risk through security and governance policies. These new capabilities completely redefine intelligent storage management. NEW: Workflow Orchestration The Pure Storage platform now delivers orchestrated workflows that can be deployed across the entire IT environment. Built on the thousands of existing connectors to third-party applications including Cisco, Microsoft, VMware, ServiceNow and Slack, presets and application 'recipes' can be easily deployed across storage, compute, network, database and application configurations. Customers will be able to run pre-set recipes or build custom ones specific for their environment, or utilize partner recipes for application to infrastructure automation. NEW: World Class Anomaly Threat Detection with Rubrik Security Cloud Rubrik is the first cyber recovery partner to integrate with Pure Fusion and its new workflow orchestration, streamlining cyber recovery across data environments. When Rubrik Security Cloud detects a threat, Pure Fusion automates the tagging of indelible SafeMode snapshots with Rubrik's ransomware scanning — pinpointing clean data for fast restore. For surgical or granular recovery needs, Rubrik backups provide a secondary path. Managed through Pure1 Workflow Automation, this integration reduces manual effort, improves compliance, and delivers near-zero RTO — so organizations can recover quickly and confidently with minimal disruption. NEW: CrowdStrike LogScale and Pure Storage Hunt Threats and Retain Logs CrowdStrike and Pure Storage have partnered to deliver the first validated on-premises storage solution specifically optimized for Falcon LogScale deployments. Combining Pure Storage's resilient, secure, high-performance storage infrastructure with Falcon LogScale's powerful log analytics, instant search, and security capabilities, organizations gain unmatched scalability and accelerated threat detection, hunting, investigation and response — while maintaining the control of on-premises, self-hosted environments. NEW: Pure Protect VMware to VMware Recovery Now offering recovery for VMware to VMware, in addition to recovery to AWS, on-premises to cloud, and self-service disaster recovery assessments, Pure Protect™ is designed for today's hybrid environments, streamlining recovery workflows with on-demand recovery and flexible failover options so customers can cost-effectively maintain business continuity. NEW: AI Copilot is now Generally Available The AI Copilot is an always-on assistant that delivers personalized, fleet-aware insights — with agents available for topics including security information, performance issues, digital commerce, sustainable operations, and support center. Matt Kimball, Vice President & Principal Analyst, Moor Insights & Strategy, noted, 'Pure's Enterprise Data Cloud represents a tangible shift in how enterprises manage data and represents real change at the architectural level. By abstracting the complexity of hybrid environments into a unified, policy-driven platform, Pure is enabling organizations to bring clarity and control to data management at scale. With automation, intelligence, and simplicity built in, Pure is delivering on the vision of an enterprise data cloud in a way that's actionable today. It's a bold, thoughtful approach — and one that sets a new bar for the industry.' The full benefits of an Enterprise Data Cloud require a platform created from the ground up to enable this model. Pure Storage brings together infrastructure, intelligence, and integrated services into one consistent experience.
Al Bawaba
3 days ago
- Business
- Al Bawaba
IT Leaders optimistic on Agentic AI, but Concerned by Organizational Readiness, Research Reveals
As AI adoption accelerates and cyber threats increase, nearly 8 in 10 IT security leaders recognize their security practices need transformation. Salesforce's latest State of IT data also reveals unanimous optimism about AI agents, with 100% of security leaders identifying at least one security concern that could be improved by despite this hope, the global survey of over 2,000 enterprise IT security leaders highlights significant implementation challenges ahead. Nearly half (48%) worry their data foundation isn't set up to get the most out of agentic AI, and over half (55%) aren't fully confident they have the appropriate guardrails to deploy AI it matters: Both the professionals charged with protecting a company's data and systems and the bad actors looking to exploit vulnerabilities are increasingly adding AI to their toolkits. Autonomous AI agents, which help security teams cut down on manual work, can free up humans' time for more complex problem solving. However, agentic AI deployments require robust data infrastructure and governance to be perspective: 'Trusted AI agents are built on trusted data. IT security teams that prioritize data governance will be able to augment their security capabilities with agents while protecting data and staying compliant,' said Alice Steinglass, EVP & GM, Salesforce Platform, Integration and Alkhotani, SVP and GM, Salesforce Middle East, said: 'The latest State of IT report is a cause for both optimism and concern, and also aligns with the concerns we see among organizations in the Middle East. While the research underscores the confidence that organizations have in agentic AI to improve key aspects of their operations and processes, it also reveals significant concerns that must be addressed: It is clear that many IT security leaders are concerned about issues including the readiness of their organization's data foundation for AI, the state of their guardrails to deploy AI agents, and the potential for compliance challenges stemming from AI. Amid these anxieties, it is vital that organizations in the Middle East work with a trusted partner such as Salesforce, enabling them scale up agentic AI quickly, effectively, and ethically.'Security budgets ramp up as threats evolveIn addition to a familiar slate of risks like cloud security threats, malware, and phishing attacks, IT leaders now cite data poisoning — in which malicious actors compromise AI training data sets — among their top concerns. Resources are rising in response: 75% of organizations expect to increase security budgets over the coming regulatory environments add a wrinkle to AI implementationWhile four-fifths of IT security leaders believe AI agents offer compliance opportunities, such as improving adherence to global privacy laws, nearly as many (79%) say they also present compliance challenges. This may stem in part from an increasingly complex and evolving regulatory environment across geographies and industries, and is hampered by compliance processes that remain largely unautomated and prone to error.• Just 47% are fully confident they can deploy AI agents in compliance with regulations and standards.• 83% of organizations say they haven't fully automated their compliance is a cornerstone of successful AI, yet confidence is nascentA recent consumer study found that trust in companies is on a precipitous decline, and three-fifths (60%) agree that advances in AI make a business's trustworthiness more critical. Furthermore, only 42% of consumers trust companies to use AI ethically, a decrease from 58% in 2023. IT security leaders see work to be done in earning this critical trust.• 57% aren't fully confident in the accuracy or explainability of their AI outputs.• 60% don't provide full transparency into how customer data is used in AI.• 59% haven't perfected their ethical guidelines for AI governance is a linchpin in enterprises' agentic evolutionNearly half of IT security leaders aren't sure they have the quality data to underpin agents, or that they could deploy the technology with the right permissions, policies, and guardrails, but progress is being made. A recent survey of CIOs found that four times as much budget was allocated to data infrastructure and management than AI, a signal that organizations were smartly laying the right groundwork for broader agents offer a salve as adoption ramps upAccording to the State of IT research, over 40% of IT security teams already use agents in their day-to-day operations — a figure that's anticipated to nearly double over the next two years. IT security leaders expect a range of benefits as their use of agents ramps up, ranging from threat detection to sophisticated auditing of AI model performance. Three quarters (75%) expect to use AI agents within two years — up from 41% overhauls are on tapIn addition to the steps these teams must take to shore up their data foundations for the agentic era, over half admit they have work to do to bring their overall security and compliance practices up to par. Forty-seven percent believe their security and compliance practices are fully prepared for AI agent development and customer view: Arizona State University (ASU) is among the first universities to leverage Agentforce, Salesforce's digital labor platform for augmenting teams with trusted autonomous AI agents in the flow of work. ASU stresses the need for data relevancy, especially as the university advances its AI initiatives. ASU implemented Salesforce-acquired Own backup, recovery, and archiving solutions, providing ASU with a comprehensive approach to data management, addressing their needs for backup, recovery, compliance, and innovation deeper:• Read the full State of IT: Security report• Learn how Salesforce is powering a smarter agentic future with new governance enhancements• Discover additional State of IT insights from the developer perspective• Read more on why trust and guardrails are even more critical in the age of AIMethodology: Data is sourced from a security, privacy, and compliance leader segment of a double-anonymous survey of IT decision-makers conducted from December 24, 2024 through February 3, 2025. Respondents represented Australia, Belgium, Brazil, Canada, Denmark, Finland, France, Germany, India, Indonesia, Ireland, Israel, Italy, Japan, Mexico, the Netherlands, New Zealand, Norway, Portugal, Singapore, South Korea, Spain, Sweden, Switzerland, Thailand, the United Arab Emirates, the United Kingdom, and the United States.
Fast Company
3 days ago
- Business
- Fast Company
The hidden step most companies miss in their AI strategy
When I talk to executives about rolling out AI in their organizations, all conversations have a similar sentiment. Leaders say, 'We're going all in on AI,' only to follow up with, 'But don't let it touch any of our data.' This contradiction leaves teams wavering between ambition and caution, unable to act. This hesitation is understandable. After all, 'bad' data isn't just inconvenient—it's dangerous. The risks around privacy, data security, and corporate intellectual property are real. But if we want AI to drive better decisions, faster actions, and more personalized experiences, we need a new process: a way to prepare, trust, and govern the data we feed our models. That's where the AI data clearinghouse comes into play, a concept that I've been testing as I speak with Alteryx customers around the world. Think of it like a pre-flight checklist for your enterprise data. No matter how advanced the aircraft, pilots simply don't take off without running through numerous safety checks. In the same way, before your data 'takes off' into your AI environment, it gets inspected, validated, and approved. This shift turns AI from a boardroom buzzword into something teams can trust. HIDDEN COSTS OF BAD DATA To understand why a clearinghouse approach matters, let's look at what happens when organizations skip this critical step. Gartner reports that organizations will abandon 60% of AI projects unsupported by AI-ready data. And that's not surprising; even the most sophisticated AI can't transform bad inputs into valuable insights. These data problems cascade throughout an organization. They start small—perhaps a pricing recommendation that doesn't align with market realities or a customer insight that misses crucial context, but the ripple effects spread quickly. Consider the California car dealership whose AI system negotiated a $1 car sale. That's not just an amusing anecdote—it represents real dollars lost and trust eroded. The hidden costs multiply from there: decision paralysis as executives question every AI recommendation, expensive systems that gather digital dust, and perhaps most damaging, a cultural resistance that whispers, 'Maybe we should stick to spreadsheets and gut instinct after all.' That's why we need to approach AI implementation with data quality, not algorithm sophistication, as our north star. THE AI DATA CLEARINGHOUSE APPROACH How do we bridge this divide between AI ambition and data reality? Enter the AI data clearinghouse, a strategic framework that ensures only approved, accurate, and context-rich data powers your AI. Think of it not as another layer in your already complex tech stack, but as an essential trust-building solution that works alongside your existing CRM, ERP, and data lakes. This approach combines validation checks that catch problems early, business context layers that give meaning to raw numbers, cross-departmental approval workflows, and traceable documentation of data sources and changes. What makes this work is putting human expertise at the center. I saw this firsthand with a retail customer where the marketing and customer success teams defined 'churn' differently: one used the last engagement date while the other used the previous purchase date. Their AI model mistakenly flagged thousands of active customers as lost, triggering unnecessary reactivation campaigns that confused customers. What if curiosity about how your organization defines its metrics became the foundation of your AI strategy? Data preparation becomes an opportunity to create shared understanding rather than a technical hurdle. BUILDING TRUSTED AI FOUNDATIONS The journey to bringing the AI data clearinghouse to life in your organization begins not with technology, but with people. Before writing a single line of code, focus on building cross-functional teams that bring diverse perspectives. The most successful AI initiatives always start with genuine leadership buy-in. Only after establishing this collaborative foundation should you identify which business processes would benefit most from AI enhancement. Where could better decisions create the most value? Where do teams struggle with information overload or repetitive analysis? With clear objectives in place, focus on mapping the critical data sources that will fuel your efforts. This isn't just about identifying systems like Salesforce or Workday; it's about connecting with the people who truly understand what the data means. As you build your data workflows, weave in regulatory considerations from the start. GDPR and emerging AI-specific frameworks aren't checkboxes to tick off at the end. Rather, they are design principles that should shape your approach from day one. Perhaps most importantly, create feedback loops that allow your system to evolve. Effective AI implementations aren't static; they continue to improve as business needs change and teams discover new insights about their data. THE TRUST TRANSFORMATION Implementing AI is ultimately a trust exercise, and everyone in the company has slightly different motives. Executives want a competitive edge. Analysts want clarity. Compliance teams want control. And end users just want to be sure the answer they get is the right one. The companies that will succeed with AI aren't necessarily those with the most advanced algorithms or the biggest tech investments. Success will come to organizations that build thoughtful connections between their existing data environments and new AI capabilities.
Al Bawaba
3 days ago
- Business
- Al Bawaba
IT Leaders in UAE optimistic on Agentic AI, but Concerned by Organizational Readiness, Research Reveals
As AI adoption accelerates and cyber threats increase, nearly eight in 10 IT security leaders in the UAE recognize their security practices need transformation. Salesforce's latest State of IT data also reveals unanimous optimism about AI agents, with 100% of security leaders in the UAE and globally identifying at least one security concern that could be improved by despite this hope, the global survey of over 2,000 enterprise IT security leaders from more than 24 countries including the UAE, highlights significant implementation challenges ahead. Some 64% of UAE enterprise IT security leaders worry their data foundation isn't set up to get the most out of agentic AI, compared to 48% globally, and 42% aren't fully confident they have the appropriate guardrails to deploy AI it matters: Both the professionals charged with protecting a company's data and systems and the bad actors looking to exploit vulnerabilities are increasingly adding AI to their toolkits. Autonomous AI agents, which help security teams cut down on manual work, can free up humans' time for more complex problem solving. However, agentic AI deployments require robust data infrastructure and governance to be perspective: 'Trusted AI agents are built on trusted data. IT security teams that prioritize data governance will be able to augment their security capabilities with agents while protecting data and staying compliant,' said Alice Steinglass, EVP & GM, Salesforce Platform, Integration and Automation Mohammed Alkhotani, SVP and GM, Salesforce Middle East, said: 'The latest State of IT report is a cause for both optimism and concern. While the research underscores the confidence that organizations in the UAE have in agentic AI to improve key aspects of their operations and processes, it also reveals significant concerns that must be addressed: It is clear that many IT security leaders in the UAE are concerned about issues including the readiness of their organization's data foundation for AI, the state of their guardrails to deploy AI agents, and the potential for compliance challenges stemming from AI. Amid these anxieties, it is vital that organizations in the UAE and the wider Middle East work with a trusted partner such as Salesforce, enabling them scale up agentic AI quickly, effectively, and ethically.'In addition to a familiar slate of risks like cloud security threats, malware, and phishing attacks, IT leaders now cite data poisoning — in which malicious actors compromise AI training data sets — among their top concerns. Resources are rising in response: 74% of organizations in the UAE expect to increase security budgets over the coming regulatory environments add a wrinkle to AI implementation While 84% of IT security leaders in the UAE believe AI agents offer compliance opportunities, such as improving adherence to global privacy laws, nearly as many (86%) say they also present compliance challenges. This may stem in part from an increasingly complex and evolving regulatory environment across geographies and industries, and is hampered by compliance processes that remain largely unautomated and prone to error.• Just 42% of UAE organizations are fully confident they can deploy AI agents in compliance with regulations and standards.• 90% of organizations in the UAE say they haven't fully automated their compliance is a cornerstone of successful AI, yet confidence is nascentA recent consumer study found that trust in companies is on a precipitous decline, and three-fifths (60%) agree that advances in AI make a business's trustworthiness more critical. Furthermore, only 42% of consumers trust companies to use AI ethically, a decrease from 58% in 2023. IT security leaders see work to be done in earning this critical trust.• 57% of organizations globally aren't fully confident in the accuracy or explainability of their AI outputs.• 60% of organizations globally don't provide full transparency into how customer data is used in AI.• 59% of organizations globally haven't perfected their ethical guidelines for AI governance is a linchpin in enterprises' agentic evolutionNearly half of IT security leaders in the UAE aren't sure they have the quality data to underpin agents, or that they could deploy the technology with the right permissions, policies, and guardrails, but progress is being made. A recent survey of CIOs found that four times as much budget was allocated to data infrastructure and management than AI, a signal that organizations were smartly laying the right groundwork for broader agents offer a salve as adoption ramps upAccording to the State of IT research, 32% of IT security teams in the UAE already use agents in their day-to-day operations — a figure that's anticipated to nearly double over the next two years. IT security leaders expect a range of benefits as their use of agents ramps up, ranging from threat detection to sophisticated auditing of AI model performance. 80% of UAE organizations expect to use AI agents within two years — up from 32% overhauls are on tapIn addition to the steps these teams must take to shore up their data foundations for the agentic era, over half of teams globally admit they have work to do to bring their overall security and compliance practices up to par. Just 38% of UAE IT security teams believe their security and compliance practices are fully prepared for AI agent development and customer view: Arizona State University (ASU) is among the first universities to leverage Agentforce, Salesforce's digital labor platform for augmenting teams with trusted autonomous AI agents in the flow of work. ASU stresses the need for data relevancy, especially as the university advances its AI initiatives. ASU implemented Salesforce-acquired Own backup, recovery, and archiving solutions, providing ASU with a comprehensive approach to data management, addressing their needs for backup, recovery, compliance, and innovation deeper:• Read the full State of IT: Security report• Learn how Salesforce is powering a smarter agentic future with new governance enhancements• Discover additional State of IT insights from the developer perspective• Read more on why trust and guardrails are even more critical in the age of AIMethodology: Data is sourced from a security, privacy, and compliance leader segment of a double-anonymous survey of IT decision-makers conducted from December 24, 2024 through February 3, 2025. Respondents represented Australia, Belgium, Brazil, Canada, Denmark, Finland, France, Germany, India, Indonesia, Ireland, Israel, Italy, Japan, Mexico, the Netherlands, New Zealand, Norway, Portugal, Singapore, South Korea, Spain, Sweden, Switzerland, Thailand, the United Arab Emirates, the United Kingdom, and the United States.
Yahoo
5 days ago
- Business
- Yahoo
BigID Introduces First Data-Driven Assessment for AI Governance and Third-Party AI Use
New capability gives organizations visibility into third-party AI use, data exposure, and governance gaps across their vendor ecosystem. NEW YORK, June 16, 2025 /PRNewswire/ -- BigID, the leader in data security, privacy, compliance, and AI data management, today announced the launch of Vendor AI Assessment, the first solution of its kind designed to help organizations identify, evaluate, and manage the risks introduced by third-party AI usage. As vendors race to embed GenAI, large language models (LLMs), and autonomous agents into their products, organizations are left in the dark about how AI is being used - and what risks it introduces to their data, privacy, and compliance. Today, BigID becomes the first company in security or privacy to launch a dedicated, data-driven assessment solution focused specifically on vendor AI use. Expanding on its leading capabilities in vendor management and third-party risk, BigID now enables organizations to assess not just who they do business with, but how those vendors are using AI and what impact that AI has on sensitive data. Unlike traditional governance tools that rely on static surveys, BigID discovers deployed models, maps them to the data they access, and provides actionable risk intelligence across AI usage, exposure, explainability, and regulatory readiness. For the first time, security, privacy, and legal teams can hold vendors accountable for AI transparency, ensuring they understand whether vendor AI is trained on customer data, whether results can be trusted, and whether the risks are worth the rewards. According to BigID's 2025 AI Risk & Readiness Report, 64% of organizations lack visibility into AI risk exposure, and nearly half have no AI-specific security controls in place. These findings reveal a growing blind spot in enterprise governance: third-party AI use. While many organizations are still building internal AI oversight, BigID helps extend that visibility to a critical but often overlooked threat vector - vendor AI. Key Takeaways: Identify and reduce third-party AI risk before it impacts your business with the industry's first solution to assess vendor AI use. Uncover vendor AI usage, data access, and training practices to mitigate unwanted data exposure and improve governance. Operationalize AI oversight with built-in workflows for risk scoring, documentation, and remediation. Equip privacy, legal, security, and compliance teams to respond to AI-related regulatory demands, especially as 55% of organizations report being unprepared for emerging AI regulations. Stay ahead of AI-driven third-party threats with continuous visibility, faster risk-based decisions, and defensible governance across your ecosystem. "AI adoption is accelerating, but most organizations remain blind to how their vendors use AI on their data," said Dimitri Sirota, CEO of BigID. "We built Vendor AI Assessment to help security, privacy, and legal teams uncover these blind spots, reduce exposure, and ensure responsible use of AI across their third-party ecosystem." "BigID continues to innovate with Vendor AI Assessment. Given the rapid integration of AI in vendor offerings, businesses must demand transparency and accountability," said Dr. Edward Amoroso, CEO of TAG & Research Professor at NYU. "BigID's Vendor AI Assessment provides a crucial tool for organizations to understand and mitigate the unique risks posed by third-party AI use." Learn More: Book a demo Read more at About BigID BigID empowers organizations to know their enterprise data and take action for data-centric security, privacy, compliance, AI innovation, and governance. Customers deploy BigID to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. BigID has earned numerous accolades, including being highlighted as CRN's top 100 security companies two years in a row in 2024 and 2023, a finalist in CRN's 2024 Tech Innovator Awards, recognized as the most innovative security company of the year for its AI data security in the 2024 Globee Awards, and named as a "Market Leader Data Security Posture Management (DSPM)" in the 2023 Global InfoSec Awards. Additionally, BigID's impressive growth earned it a spot on the 2024 Deloitte 500 for the fourth consecutive year, one of CNBC's Top 25 Startups for the Enterprise, named to the Forbes Cloud 100, and recognized on the 2024 Inc. 5000 for the fourth consecutive year. View original content to download multimedia: SOURCE BigID
