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Veeam Unveils Framework To Close Data Resilience Gap

Veeam Unveils Framework To Close Data Resilience Gap

Veeam Software has unveiled the industry's first Data Resilience Maturity Model (DRMM) . The new framework empowers organizations to objectively assess their true resilience posture and take decisive, strategic action to close the gap between perception and reality to ensure their data is resilient in the face of growing cyber-attacks and outages.
Joint research conducted by Veeam and McKinsey reveals a staggering disconnect: while 30% of CIOs believe their organizations are above average in data resilience, fewer than 10% actually are. This miscalculation is not just risky; it's reckless. According to the report, IT downtime costs the Global 2000 over $400 billion annually, with $200 million in losses per company from outages, reputational damage, and operational disruption.
'Data resilience is critical to survival—and most companies are operating in the dark,' said Anand Eswaran, CEO of Veeam. 'The new Veeam DRMM is more than just a model; it's a wake-up call that equips leaders with the tools and insights necessary to transform wishful thinking into actionable, radical resilience, enabling them to start protecting their data with the same urgency as they protect their revenue, employees, customers, and brand.'
The Veeam DRMM framework empowers leaders to assess and improve their data resilience by providing valuable insights for aligning people, processes, and technical capabilities with their overall data strategy. This alignment helps minimize risk exposure while allowing organizations to concentrate on mission-critical objectives and sustain a competitive advantage. Notably, the Veeam DRMM stands out as the only framework in the industry from a consortium of industry experts that delivers a holistic perspective on cyber resilience, disaster recovery (DR), and operational continuity across three key domains: data strategy, people and processes, and technology.
Key findings from the Veeam DRMM research include: 74% of organizations fall short of best practices, operating at the two lowest levels of maturity.
Organizations at the highest maturity level (the Best-in-Class horizon) recover from outages seven times faster, experience three times less downtime, and suffer four times less data loss than their peers.
Alarmingly, over 30% of CIOs in the least resilient companies mistakenly believe their data resilience capabilities are better than they actually are, exposing their businesses to potential failure.
'Data resilience isn't just about protecting data, it's about protecting the entire business,' Eswaran continued. 'This is the difference between shutting down operations during an outage or keeping the business running. It's the difference between paying a ransom or not. It provides the foundation for AI innovation, compliance, trust, and long-term performance – including competitive advantage.'
Built on extensive research in collaboration with McKinsey & Company and insights from over 500 IT, security, and operations leaders, the Veeam DRMM has been validated through real-world customer outcomes, including a healthcare system that saved $5 million per outage and a global bank that achieved zero cyber incidents after implementing the model with Veeam's platform.
Investing in data resilience yields substantial returns, according to the DRMM research which shows that for every $1 spent on data resilience measures, companies reap $3 to $5, and sometimes as much as $10, in return – driven by improved uptime, reduced incident costs, and enhanced agility. As a result, data resilience has surged to the #2 strategic priority for IT leaders, second only to cost optimization.
A Resilience Blueprint for the Boardroom
The Veeam DRMM categorizes organizations across four data resilience maturity horizons: Basic : Reactive and manual, highly exposed
: Reactive and manual, highly exposed Intermediate : Reliable but fragmented, lacking automation
: Reliable but fragmented, lacking automation Advanced : Strategic and proactive, yet missing full integration
: Strategic and proactive, yet missing full integration Best-in-Class: Autonomous, AI-optimized, fully resilient
'As organizations increasingly recognize the growing risks associated with data outages and cyber threats, the report underscores the importance of a collective commitment from executives beyond the IT department, to data resilience,' said George Westerman, Principal Research Scientist at the MIT Sloan School of Management. 'Data outages can severely impact customer-facing capabilities and erode shareholder trust of an organization. But even more, they can be a signal of immature IT management processes that have led to overly complex, hard to manage, IT infrastructure. The Digital Resilience Maturity Model highlights ways that businesses can equip themselves to handle today's challenges while being ready for tomorrow's opportunities.'
Organizations can kickstart their data resilience maturity journey by participating in Veeam's tailored executive workshops aimed at moving up the maturity curve, reducing exposure, and unlocking new innovations. By taking these steps, Veeam will work alongside organizations to enhance their ability to prevent outages and recover quickly and securely when disruptions occur, ensuring that data is always available, always protected, and always propelling businesses forward. 0 0
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Lenovo Launches Modular DaaS For Sustainability
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  • Channel Post MEA

Lenovo Launches Modular DaaS For Sustainability

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AI Content Compliance: Avoiding Hallucinations, Confusion, and Risk
AI Content Compliance: Avoiding Hallucinations, Confusion, and Risk

Martechvibe

time5 days ago

  • Martechvibe

AI Content Compliance: Avoiding Hallucinations, Confusion, and Risk

As enterprises scale AI-generated content, the pressure to stay compliant, consistent, and brand-safe is rising. Without proper governance frameworks, even the most advanced AI can produce hallucinations, misinformation, and non-compliant messaging. Britta Mühlenberg 2 hours ago Employees are using AI at work whether their leaders know it or not. In fact, recent data from McKinsey found C-suite leaders projected only 4% of employees were using generative AI for at least 30% of daily work, when in reality, 13% of employees were using AI at that level. It's no surprise then that employees are using AI in content generation . Using AI in content generation provides endless benefits to employees and organizations alike, including cost savings, streamlined operations, and productivity boosts. But, if AI isn't integrated safely into your operations, your content risks being non-compliant with brand guidelines, industry standards, and regulations. This leads to wasted resources, financial losses, damage to brand loyalty, AI hallucinations, and ultimately, a poor customer experience. The risk of AI hallucinations damaging the customer experience is a costly one. Take it from real-world occurrences like when Air Canada's customer service AI chatbot shared information about a discount that didn't exist for instance. A court ruled that the customer would be awarded damages and fees after what was surely a negative experience with the airline. Hallucinations happen for a number of reasons, whether it's poor training data or biases within the data. If the data or content that's being used to train AI agents is inaccurate, the output will also be low-quality and often results in misinformation. Beyond that, if incorrect data inputs become repetitive, an AI agent may take the input as fact and skew all results in the future. The biggest risks that come with enterprises leveraging AI-generated content are non-compliance and the loss of customer loyalty. If content isn't compliant with regulations, your brand may be face to face with legal issues, fines, and ultimately brand degradation. Customers rely on your brand's content to be accurate — it's part of the reason they trust your brand. Content that's not transparent or simply a bit 'off' really puts that trust at risk. With over 90% of enterprises concerned about AI tools misrepresenting their brand, there's a clear need for solutions that safeguard compliant, on-brand content. How to Govern AI-Ready Content with Consistency Enterprises looking to uplevel content with AI must do so while deploying compliance frameworks. Just because content is being produced at a faster rate doesn't mean that the content meets the standards of your brand. So making sure that the content consistently meets your guidelines and emerging regulations is key. There are four essential steps that enterprises must follow to govern their content to make sure it's AI-ready: 1. Develop guidelines — and follow them: Compile brand documentation that can be used by AI to set guidelines. Things like style books, terminology databases, regulatory standards, and legal and technical language. 2. Ensure quality throughout the content lifecycle: Engaging with quality assurance checks at every stage of the content supply chain makes it easier to create high quality content that's compliant with brand guidelines and regulatory standards. 3. Deploy AI-powered compliance monitoring: Tools like Acrolinx scan and detect content to ensure it's complying to set guidelines and regulatory standards. And if it deviates from guidelines, it suggests how to shift your content. 4. Check up on guidelines: Every autonomous technology needs regular oversight to make sure it is functioning appropriately. With your brand and the regulatory landscape evolving constantly, your guidelines need to evolve with them too. This is critical to making sure your compliance framework is up to date. By integrating these frameworks into the development of content, enterprises make sure that AI-outputs follow brand and regulatory guidelines, resulting in consistent governance and compliance. This structured oversight not only streamlines compliance, but it also guarantees that every customer interaction reflects content that's consistent, high-quality, and on-brand. To make sure that all AI is trained on the best content, enterprises should take the governance approach. This includes standardized voice, tone, terminology, and compliance with legal, financial, or accessibility standards across industries. Source content that's used to train AI should be translated and localized, as well as meet clarity and readability requirements for the audience. AI isn't taking over just yet: You still need a human in the loop Despite the current advancements and progression of AI-generated content, human oversight is still key to any AI strategy. It's especially true as we continue to see AI models hallucinate. While AI can scale operations and workflows, keeping someone in the loop is still necessary to affirm that quality standards are met. Automated checks enhance efficiency, but they shouldn't fully replace human oversight. The Essentials Tools for Enterprise Compliance Tools like Acrolinx help enterprises build a robust compliance framework directly into your workflows and protect your brand's bottom line while enabling speed and scale. Every business has unique brand guidelines, tone, voice, messaging, and terminology standards. On toFp of that, specific industry standards and regulatory requirements create even more pressure for organizations. Having the right tools ensures that content is compliant across every one of these areas. 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VISIT WEBSITE Sprinklr offers a comprehensive suite of 250+ AI-intent bot templates for various industry verticals to accelerate bot development. Its specialised AI and compliant rule engine enables marketers to modify and automate their promotional campaigns for better engagement via suggestion-based personalised bots. VISIT WEBSITE Meta's new class of generative AI features and creative tools allow users to create and share custom stickers or update the visual style of their photos with a simple text prompt. They can also chat with 28 different AIs and get unique perspectives on topics like travel, games and food. VISIT WEBSITE is a UI-based platform that allows marketers to create a chatbot quickly and deploy it easily on multiple channels. Leveraging the capabilities of its conversational builder, enterprises can build the Dialogflow using dialogue messages. Some of its popular offerings include XO: Experience Optimisation and GALE(Beta). VISIT WEBSITE IBM watsonx Assistant is an interactive virtual agent that utilises natural language and AI, enabling users to set it up on their app and website. It offers fast and accurate responses to customers, enhancing their overall experience and satisfaction with its adaptive learning capabilities. VISIT WEBSITE Haptik helps enterprises manage their customer lifecycle with generative AI-powered conversational solutions to boost marketing and sales. It offers Contakt and Interakt to enhance overall CX, where Interakt enables marketers to send hyper-targeted and personalised campaigns to drive customers to take action on WhatsApp. VISIT WEBSITE Dialogflow is an all-in-one platform for developing chatbots, voice bots, and virtual agents using natural language understanding and Google AI. It helps marketing teams create conversational agents that can handle common customer requests and issues, such as FAQs, and order status at scale. VISIT WEBSITE Dialpad is a fully integrated unified conversation intelligence platform that utilises ongoing ML(Machine Learning) algorithms and does not require coding to configure a chatbot. It offers real-time insights and tips, helping marketing teams customise their approach for every customer. VISIT WEBSITE is a low code-no code, enterprise-grade generative AI platform offering readily available LLMs for CX transformations. Its omnichannel reporting and analytics suite for marketing enables organisations to streamline their customer journeys. VISIT WEBSITE is a global conversational AI technology provider optimised for operational efficiency at scale. It offers self-learning AI capabilities that emphasise Natural Language Understanding (NLU) along with intent suggestions. VISIT WEBSITE Avaamo is an all-in-one conversational AI platform for enterprises offering a suite of industry-specific skills developed to automate and resolve common use cases. It offers Outreach, which enables marketers to educate and engage with customers across existing touchpoints through proactive and personalised communication. VISIT WEBSITE Amazon Lex offers fully managed conversational AI interfaces with advanced natural language models to design, build, test, and deploy conversational interfaces in applications. It enables sales and marketing teams to automate user tasks in their applications like the CRM and across any digital channel. VISIT WEBSITE Zendesk is an AI-powered customer feedback software provider, offering customer satisfaction (CSAT) software to businesses across multiple industries. Its marketplace offers 1600+ apps and integrations, enabling marketers to create a complete customer feedback system. VISIT WEBSITE UserVoice provides product feedback management software for SaaS businesses. Its UserVoice Validation tool delivers actionable user insights to inform roadmap strategy. From testing ideas to ensuring satisfaction with released features, it helps research and marketing teams gather quick user feedback throughout the entire product lifecycle. VISIT WEBSITE Twilio provides integrated Mindful Feedback functionality within its Flex offering, enabling marketers to automatically take action based on real-time customer feedback. It automatically collects customer feedback after Flex interactions by capturing feedback over post-call voice IVR, outbound voice IVR, conversational SMS, Web SMS, email, and web surveys. VISIT WEBSITE Trustpilot offers ML and AI-powered feedback management tools, helping marketers build trust and loyalty through customer reviews. Its AI-driven Review Insights tool enables marketers to identify growth areas from negative feedback, whereas its Image Generator tool lets them enhance social media engagement. VISIT WEBSITE Survey Monkey is a global online survey and forms tech stack provider, offering AI-fueled market research solutions to businesses. Its enterprise feedback management program provides 250+ templates with the capabilities of customisation, allowing organisations to build tailored survey forms. VISIT WEBSITE Sprinklr is a unified customer experience platform (CXM), offering AI-powered feedback management capabilities with its flagship product: Sprinklr Surveys. It integrates solicited customer feedback with unified-CXM data, enabling brands to derive meaningful, actionable insights. Utilising its genAI-powered survey builder, marketers can create conversational surveys to streamline their NPS strategies. VISIT WEBSITE Salesforce is a comprehensive customer-oriented technology provider offering a feedback management suite. Salesforce's survey responses help marketers create personalised surveys based on their existing customers' data. Some of the supported applications of its feedback management platform are genAI-powered survey form development and sentiment-insights-based survey collections. VISIT WEBSITE QuestionPro is an online feedback software provider, offering ready-made survey templates to businesses across 40+ countries. Leveraging the capabilities of its customer satisfaction templates, advertisers and marketers can create and gather tailored questions. VISIT WEBSITE Qualtrics is an all-in-one customer experience solution provider, offering website & app feedback tools for organisations to collect customer feedback efficiently. Its digital experience analytics capabilities combined with DXA integrations, bring together verbal and behavioural data for in-depth analysis of user feedback. VISIT WEBSITE HubSpot is a one-stop marketing platform, providing customer feedback software under its Service Hub offerings. Its pre-built APIs include net promote score (NPS), customer effort score (CES), and customer satisfaction (CSAT) surveys, allowing marketers to strengthen their customer loyalty strategy. VISIT WEBSITE Medallia is a comprehensive platform, enabling marketers to capture feedback from all customer touch points. Some of its popular feedback management software capabilities include Sense360 for analysing consumer spending, Medallia Video to automatically extract meaningful insights from customer's feedbacks and Agile Research for creating branded surveys in real-time. VISIT WEBSITE Zeotap lets brands integrate, unify, segment and orchestrate customer data, fostering a cookieless future. It offers a 'Non-Customer Entity Data' feature that helps marketers to integrate both customer and non-customer entity data. VISIT WEBSITE Twilio provides, Twilio Segment, an AI-powered CDP, enabling marketers to streamline their personalised customer engagement journeys. It brings together clean, consented customer data for real-time insights with 450+ pre-built connectors. VISIT WEBSITE Syntasa provides data-ready CDP capabilities, equipping marketers with essential tools to prepare their customer data. It offers real-time sentiment analytics capabilities, helping enterprises derive behavioural insights from unified user profiles to foster hyper-personalised experiences. VISIT WEBSITE SAP is a company-wide customer data management platform, helping marketers improve engagement, conversion, and retention. It offers a genAI-powered data model, enabling enterprises to unify their B2B and B2C customers' profiles to reach their personalisation goals. VISIT WEBSITE Oracle is a global database management company, providing CDP solutions, under its flagship product: Oracle Unity. Its AI-powered models enable marketers to create hyper-personsalised campaigns with predictive insights by streamlining real-time customer data from heterogeneous sources. VISIT WEBSITE Growthloop is a composable CDP platform, allowing marketing and sales team to action their data at scale. It offers GrowthLoop Audience Builder, enabling marketers to initiate their lead generation functions. VISIT WEBSITE Adobe Experience Cloud offers a real-time CDP, letting users create high-value audience segments for B2C and B2B use cases across their marketing funnel. It follows a cookieless marketing approach to automatically unify customer data across various online and offline channels in real-time. VISIT WEBSITE ActionIQ is a composable CDP platform that offers audience segmentation, acquisition marketing, and Customer 360 capabilities. It integrates analytical tools, enabling marketers to collect and analyse their first-party customer data at scale. VISIT WEBSITE Zoho CRM leverages automation and comprehensive analytics to empower any sales team, fostering stronger customer loyalty. Ideal for both small businesses and enterprises, this software enables enhanced productivity and tailored solutions through predictive intelligence. VISIT WEBSITE Zendesk offers Zendesk Sell, an easy-to-deploy CRM platform that is simple to deploy and navigate, catering to businesses of any scale. Its mobile-friendly Sell app has the functionalities of geolocation, helping sales and marketing teams. Offering an all-in-one CRM platform, organisations can implement use cases like prospecting, engagement, lead generation and communication capabilities. VISIT WEBSITE SugarCRM is a global CRM software provider, helping marketing, sales, and service teams improve efficiency through automation, data, and intelligence in near real-time. It offers Sugar Market, an all-in-one marketing automation platform that helps marketers to automate their campaign with higher ROI. VISIT WEBSITE Salesforce is a one-stop sales and support CRM software that regularly updates customer records, tracks emails and calls, and creates organised support processes for quicker customer responses. Its simple and scalable infrastructure is ideal for businesses of all sizes. VISIT WEBSITE Pipedrive stands out with its emphasis on automation, tailorability, and seamless integration. Purposefully built to enhance the efficiency and productivity of sales professionals, this CRM solution has an intuitive setup and robust capabilities. It facilitates lead generation, comprehensive sales analytics, and seamless business expansion. VISIT WEBSITE Oracle NetSuite CRM, a component of Oracle's business software suite, is for all midsize and booming businesses that want a comprehensive, integrated CRM solution with ERP capabilities. Using it, customers and partners can directly interact with the platform, freeing the additional work load for their sales team. VISIT WEBSITE Microsoft Dynamics 365 Sales represents a robust cloud-based CRM solution brimming with features such as pipeline assessment, relationship analytics, and conversational intelligence. It utilises AI-powered insights to provide actionable intelligence via predictive analytics, lead scoring and sentiment analysis. VISIT WEBSITE Less Annoying is a CRM software that utilises a straightforward search feature within its contact management system, making it easy to track contacts. It is ideal for small-sized businesses and offers a highly intuitive and user-friendly interface. VISIT WEBSITE Insightly offers CRM software solutions for enterprises looking to understand their audience data across various marketing functions. It integrates seamlessly with third-party apps, streamlining workflow automation, including bulk emailing and report generation. VISIT WEBSITE HubSpot's sleek dashboard with consolidated CRM tools simplify complex customer data, further transforming it into meaningful insights. Complementing typical CRM functionalities, HubSpot provides tailored options, including conversation intelligence and email monitoring. VISIT WEBSITE Apptivo delivers adaptable and web-based CRM solutions, enabling marketing and sales teams to streamline all customer service requirements across various devices and browsers. Despite its focused feature set, it encompasses over 65 interconnected applications alongside a robust sales pipeline management tool, ensuring efficient tracking of potential leads without any downtime. VISIT WEBSITE Sitecore offers composable cloud solutions with its flagship products, Sitecore Experience Platform(XP) and Sitecore Experience Manager (XM). They help marketers to overcome scalability challenges. Some of its features include intuitive visual editing, headless delivery, marketing automation, scalable personalisation, data and machine learning capabilities. VISIT WEBSITE Salesforce Experience Cloud is a platform that helps enterprises link clients, partners, and employees to securely exchange information and documents. Built on its Customer 360 platform, Salesforce's DXP ensures seamless integration with any solution in the Salesforce ecosystem. VISIT WEBSITE Oracle Cloud offers a comprehensive suite of platform-based marketing automation solutions for personalised B2B and B2C automation campaigns. Some of its featured products are Eloqua Marketing Automation, CrowdTwist Loyalty and Engagement, and Unity Customer Data Platform. VISIT WEBSITE Optimizely is a digital experience platform (DXP) provider that offers Optimizely One, an easy-to-use and fully integrated suite. It provides a single, unified workflow with thoughtfully embedded AI and machine-learning algorithms, accelerating work across the entire marketing lifecycle. VISIT WEBSITE OpenText offers a cloud-native, scalable platform for enterprises to streamline their marketing functions. It provides fully composable content management, digital asset management, creative workflows, personalisation, targeting and customer data technologies in one place, ensuring a holistic approach to B2B, B2E and B2C experiences. VISIT WEBSITE Neptune DXP is a PaaS(Platform-as-a-Service) provider, helping marketing teams build custom apps based on modular, reusable application building blocks. The company offers flexible environments to businesses across different verticals, further providing personalised digital solutions at scale. VISIT WEBSITE Magnolia is a composable DXP that comes with no-code connector packs and low-code micro-frameworks for third-party integrations. It also offers an open-source version alongside its commercial plans enabling enterprises to build tailored use cases. VISIT WEBSITE Liferay DXP helps marketers deliver personalised and connected digital experiences across a broad range of channels, including customer portals, websites, intranets, mobile apps, and connected devices. It offers intuitive CMS, user analytics, and site management tools that businesses need to launch, test and optimise digital experiences for faster go-to-market. VISIT WEBSITE Powered by IBM Consulting, IBM iX offers a composable DXP, providing a comprehensive solution to make enterprises' systems future-ready. Utilising its data-driven insights and intelligent workflows, marketers can design and deliver human-centred experiences across the customer lifecycle. VISIT WEBSITE HCL Digital Experience (DX), forms part of a wider HCL Customer Experience (CX) product portfolio, offering core capabilities such as content management, DAM, CDP called Signals, and low-code application development. It provides services in government, life sciences, insurance, financial services, and other verticals. VISIT WEBSITE Contentstack is a headless CMS and Composable Digital Experience Platform (DXP) solution provider that helps marketers gain a competitive edge. It recently launched into Google Cloud Marketplace, and is also available on Microsoft Azure and AWS. It seamlessly enables mid-market brands to adopt its omnichannel campaign engine to drive higher conversions and sales. VISIT WEBSITE Bloomreach Commerce Experience Cloud provides businesses an edge with its modular capabilities: Content Management System (CMS), Discovery features for search and merchandising optimisation, and Engagement tools such as Customer Data Platforms (CDP) for personalisation and analytics. VISIT WEBSITE Adobe Experience Cloud offers a comprehensive set of services specifically designed to address the day-to-day requirements for personalised customer experience at scale. Its platform helps manage different digital content and assets to improve customer satisfaction. Some of its products include Adobe Gen Studio, Experience Manager Sites, Real-time CDP, and Marketo Engage. VISIT WEBSITE Acquia offers DXP solutions, comprising of two main elements: Acquia Drupal Cloud and Acquia Marketing Cloud. It can be accessed in both platform-as-a-service (PaaS) and software-as-a-service (SaaS) with additional components such as Site Factory for multisite management, digital asset management (DAM), CDP, personalisation, and Campaign Studio. VISIT WEBSITE

Opinion: Veeam exec believes some organisations guilty of pulling the wool over their own eyes when it comes to data resilience
Opinion: Veeam exec believes some organisations guilty of pulling the wool over their own eyes when it comes to data resilience

Tahawul Tech

time7 days ago

  • Tahawul Tech

Opinion: Veeam exec believes some organisations guilty of pulling the wool over their own eyes when it comes to data resilience

Tim Pfaelzer, Senior Vice President & General EMEA Manager at Veeam, has penned an op-ed, in which he states his belief that many organisations are guilting of fooling themselves when it comes to the strength of their own data resilience. For too long, business leaders have viewed their organization's data resilience from afar, relying on theoretical plans and a checklist mindset. This 2D perspective – where technical measures are simply ticked off a to-do list – fails to capture the full, real-world cross-organizational complexity of cyber threats. Ransomware, in particular, cannot be fully simulated on paper. This mentality has led to a dangerous false sense of security. Veeam research shows that more than 30% of organizations believe they are more resilient than they actually are. While they may have the right pieces in place, unless these elements work together in a rigorously tested, real-world incident response plan, they risk being exposed when a true crisis hits. With 69% of organizations having faced a ransomware threat in the past year, the time for blind confidence is over. Leaders must remove the wool from their eyes and take meaningful, proactive action. False Confidence, Real Consequences Data resilience can be deceptively complex, and gaps often remain hidden until it's too late. Many organizations fall into the trap of believing they are prepared, only to find out otherwise under attack. Of the organizations that fell victim to ransomware last year, 69% thought they were prepared beforehand. After experiencing an attack, confidence in their preparedness dropped by more than 20%. Although the majority of organizations had a ransomware playbook, less than half included essential technical components such as backup copies and containment or isolation plans. On the surface, everything may have appeared in order – but a closer inspection revealed significant vulnerabilities. The consequences of misplaced confidence are severe. Only 10.5% of organizations were able to successfully recover following a ransomware attack last year, leading to major business and operational impacts. The recent M&S ransomware incident is a high-profile example, causing not only service outages for customers but also an estimated £300 million hit to trading profits. The Evolving Threat Landscape Some organizations may have hoped that the disruption of major ransomware groups like BlackCat and LockBit by law enforcement would make the threat landscape easier to navigate. In reality, the threat has not diminished – it has evolved. Smaller groups and 'lone wolves' have quickly filled the gap, bringing new methods and tactics that further challenge organizational resilience. From 2D to 3D: The Path to True Resilience Regardless of how confident an organization may be in its data resilience, a deeper, more critical examination of its ransomware playbooks is essential. It is no longer safe to assume that what works on paper will hold up under real-life duress. Leaders must move from a flat, 2D perspective to a dynamic, 3D approach. Start with the big picture: Do you know what data you need to protect and where it resides? Are the key resilience measures, such as a predefined chain of command and regular backup verifications, in place? Drill down further: Are your security teams up to date on the latest attack trends? With 89% of organizations reporting their backup repositories targeted by threat actors, ensuring redundancy for your backups is now critical. Plugging the gaps is only the beginning. Organizations must stress-test their incident response plans with real-world simulations. It's not enough to rely on plan A – test plans B, C, D, and beyond, including scenarios where critical staff are unavailable or multiple crises occur simultaneously. This process often exposes blind spots that would go unnoticed in a theoretical plan. Turning Confidence Into Capability Leveraging frameworks like the Veeam Data Resilience Maturity Model (DRMM), developed in partnership with McKinsey, can help organizations move beyond blind confidence. Our findings show that organizations with a high degree of data maturity recover from ransomware incidents seven times faster than their less mature counterparts, and experience three times less downtime. By taking control of data resilience – grounded in rigorous testing, continuous improvement, and collective intelligence – organizations can replace blind confidence with real capability. In the current threat landscape, it's not a question of 'if' your organization will be attacked, but 'when'. The best time to prepare is now – because in data resilience, only true readiness will make the difference.

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