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 <updated>2026-04-30T03:36:26+02:00</updated>
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   <title>Abacus Earns CREST Accreditation for Penetration Testing Services</title>
   <updated>2026-04-09T13:27:00+02:00</updated>
   <id>https://www.dailycsr.com/Abacus-Earns-CREST-Accreditation-for-Penetration-Testing-Services_a5690.html</id>
   <category term="Companies" />
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   <published>2026-04-09T13:24:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/95937395-66953057.jpg?v=1775734066" alt="Abacus Earns CREST Accreditation for Penetration Testing Services" title="Abacus Earns CREST Accreditation for Penetration Testing Services" />
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      <div style="text-align: justify;">Abacus, a global provider of IT Managed Services (MSP) and Managed Security Services (MSSP) for highly regulated sectors, has announced that its penetration testing services have earned accreditation from the Council for Registered Ethical Security Testers (CREST). <br />   <br />  This globally recognised certification confirms that Abacus conducts penetration testing in line with stringent technical, ethical, and legal standards. The independent CREST assessment—trusted by regulators—reviewed the company’s methodologies as well as the skills and qualifications of its team. <br />   <br />  To achieve accreditation, Abacus was required to demonstrate robust practices in areas such as client data management, quality assurance, and control processes. The company also provided evidence of continuous professional development for its staff and submitted multiple client references validating its professionalism, depth of testing, and overall service quality. <br />   <br />  With CREST validation, Abacus strengthens confidence among clients and prospects, assuring them that its services align with industry-leading security practices and that advanced penetration testing is delivered safely and effectively. <br />   <br />  At a time when only a limited number of MSPs meet this high cybersecurity benchmark, the accreditation further establishes Abacus as a trusted global provider of penetration testing services, dedicated to safeguarding sensitive data and ensuring regulatory compliance. <br />   <br />  Tom Cole, Senior Managing Director for EMEA at Abacus, commented that in today’s environment of persistent cyber threats and evolving regulations, clients need assurance that they are partnering with a top-tier provider. He added that the CREST accreditation confirms alignment with international best practices and offers clients in regulated industries—such as finance and healthcare—confidence in the technical rigor of Abacus’ Red Team operations. <br />   <br />  Abacus’ penetration testing services enable organisations to better understand their potential attack surface and overall security posture by simulating real-world cyberattacks. This involves replicating the actions of malicious actors attempting to exploit vulnerabilities across cloud systems, networks, and server environments. <br />   <br />  In addition, the company now provides an advanced adversarial simulation service that blends agentic AI capabilities with the expertise of experienced Red Team professionals. This combined approach ensures testing that is both highly precise and context-aware. <br />   <br />  The CREST accreditation process for Abacus took place between October 2025 and February 2026. To maintain this status, the company will undergo annual renewals to ensure continued adherence to the required standards.</div>  
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  <entry>
   <title>Bell Integration Wins NICE Implementation Partner of the Year for CXone AI Excellence</title>
   <updated>2026-04-02T15:24:00+02:00</updated>
   <id>https://www.dailycsr.com/Bell-Integration-Wins-NICE-Implementation-Partner-of-the-Year-for-CXone-AI-Excellence_a5676.html</id>
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   <published>2026-04-02T15:22:00+02:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/95786546-66892918.jpg?v=1775136293" alt="Bell Integration Wins NICE Implementation Partner of the Year for CXone AI Excellence" title="Bell Integration Wins NICE Implementation Partner of the Year for CXone AI Excellence" />
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      <p style="text-align:justify;text-justify:inter-ideograph">Bell Integration has been named Implementation Partner of the Year by NICE, in recognition of its outstanding role in driving worldwide adoption of CXone Mpower, NICE’s AI-powered customer experience platform.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">This accolade highlights partners that demonstrate deep expertise through advanced certifications and consistently deliver innovative, high-impact solutions for clients.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph"><strong>A Strategic Partnership Driving Transformation</strong> <br />  “This partnership unites two forward-thinking organisations to fast-track the use of advanced AI technologies, improving both customer experience and operational performance across global contact centres. Our collaboration with NICE has grown to provide end-to-end solutions, including CXone and Enlighten, to our customers,” said Faisal Abbasi, AI &amp; Data Executive Director at Bell Integration.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">With a team of over 350 AI specialists, Bell Integration brings strong capabilities in enabling business transformation through scalable and intelligent AI solutions, including agentic AI and orchestration. This depth of expertise allows the company to effectively harness and deliver the benefits of NICE Cognigy solutions.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph">“Working with Bell Integration is truly rewarding. They are a valued strategic partner and an exceptional organisation. Our shared commitment to an AI-first approach for the future of customer experience makes this collaboration especially impactful,” said Erika Sullivan-Pond, Partner Manager at Bell Integration.<o:p></o:p> <br />    <p style="text-align:justify;text-justify:inter-ideograph"><strong>Looking Ahead</strong> <br />  Bell Integration plans to further strengthen its partnership with NICE into 2026 and beyond, continuing to support organisations in transforming customer experience by combining its AI expertise with NICE’s CXone platform.<o:p></o:p> <br />  
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  <entry>
   <title>Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership</title>
   <updated>2026-03-26T14:02:00+01:00</updated>
   <id>https://www.dailycsr.com/Fabrix-ai-Recognized-in-Multiple-Gartner-Reports-for-Agentic-AI-Leadership_a5650.html</id>
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   <published>2026-03-26T13:59:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/95627918-66819157.jpg?v=1774530157" alt="Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership" title="Fabrix.ai Recognized in Multiple Gartner Reports for Agentic AI Leadership" />
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      <div style="text-align: justify;">Fabrix.ai, an enterprise platform specializing in agent-driven operational intelligence, announced that it has been featured in several Gartner research reports focused on agentic AI and emerging technologies. The company is identified as a representative or sample vendor in six Gartner publications. <br />   <br />  These acknowledgments highlight Fabrix.ai’s distinct positioning at the convergence of agentic AI and enterprise operations. Its capabilities span IT operations, observability, site reliability engineering, communications service provider (CSP) network assurance, and the broader emerging technology ecosystem—particularly within one of the fastest-growing AI markets globally. <br />   <br />  According to Fabrix.ai, these recognitions reflect the strength of its purpose-built platform, designed to deliver actionable operational intelligence rather than simply rebranding automation. As enterprises shift from reactive issue management to proactive and autonomous operations, Fabrix.ai aims to address this evolving demand across IT and network environments. <br />   <br />  <strong>Key Highlights from Gartner Reports</strong></div>    <ol>  	<li style="text-align: justify;"><strong>Innovation Guide for AI Agents (January 2026):</strong> <br />  	Fabrix.ai is mentioned in the DevOps and IT category for its capabilities in incident management, root cause analysis, and SRE. The report notes that while only 17% of organizations have implemented AI agents so far, 42% intend to do so within a year—supporting Fabrix.ai’s readiness for deployment at scale.</li>  	<li style="text-align: justify;"><strong>Market Guide for AI Site Reliability Engineering Tooling (January 2026):</strong> <br />  	In Gartner’s first Market Guide for AI-driven SRE, Fabrix.ai is listed as a representative vendor. The report forecasts that enterprise adoption will reach 85% by 2029, up from less than 5% today, alongside a sharp increase in demand for proactive reliability solutions.</li>  	<li style="text-align: justify;"><strong>Market Guide for CSP Service and Network Assurance Solutions (January 2026):</strong> <br />  	Among 20 vendors, Fabrix.ai is highlighted as an emerging competitor offering observability and AgenticOps capabilities. The report points to a transition from AIOps to AgenticOps, with CSPs increasingly using AI agents for predictive fault detection, root cause identification, and service impact assessment.</li>  	<li style="text-align: justify;"><strong>Redesign Observability With Business and AI Context (October 2025):</strong> <br />  	Fabrix.ai is recognized in the category of Event Intelligence Solutions with AI SRE capabilities. The report emphasizes the importance of Model Context Protocol (MCP) in shaping the future of observability, aligning with Fabrix.ai’s architecture and tooling.</li>  	<li style="text-align: justify;"><strong>Market Trends: Agentic AI for CSP Autonomous Network Operations (July 2025):</strong> <br />  	Fabrix.ai is identified as a strategic provider for orchestrating multiple AI agents across complex, multivendor CSP environments. Gartner projects that by 2028, 65% of Tier-1 CSPs will deploy AI agents for autonomous network management.</li>  	<li style="text-align: justify;"><strong>Emerging Tech Impact Radar: India (October 2025):</strong> <br />  	Fabrix.ai is one of seven companies highlighted in the Agentic AI category, receiving a “Very High” impact rating with an expected adoption timeline of three to six years. This inclusion reinforces its credibility in a market where concerns about superficial “agent washing” persist.</li>  </ol>    <div style="text-align: justify;"><strong>Key Differentiators of Fabrix.ai</strong> <br />  Across these reports, Gartner underscores the need for agentic AI platforms that deliver more than repackaged automation. Fabrix.ai distinguishes itself in several areas:</div>    <ul>  	<li style="text-align: justify;"><strong>Enterprise-Ready Architecture:</strong> A full-stack, purpose-built platform featuring a Context Engine and Agentic Data Federation to ensure reliability, explainability, and near real-time data modeling.</li>  	<li style="text-align: justify;"><strong>Multi-Agent Orchestration:</strong> Ability to manage and coordinate specialized agents across diverse systems and vendors, including lifecycle management and dynamic composition.</li>  	<li style="text-align: justify;"><strong>Proactive Intelligence:</strong> Focus on shifting from Mean Time to Repair (MTTR) to Mean Time to Prevention (MTTP) through predictive analytics and automated remediation.</li>  	<li style="text-align: justify;"><strong>Governance and Compliance:</strong> Integrated frameworks for trust, risk, and security management (TRiSM), ensuring agents operate within defined governance standards.</li>  	<li style="text-align: justify;"><strong>Open Ecosystem Support:</strong> Native compatibility with protocols such as MCP and A2A, promoting interoperability and reducing vendor lock-in.</li>  </ul>    <div style="text-align: justify;"><strong>Partnerships and Ecosystem</strong> <br />  Fabrix.ai collaborates with leading technology providers such as Cisco, Splunk, IBM, and AWS to deliver scalable, sovereign AI solutions for operational intelligence. Its platform supports both enterprise IT and CSP environments, offering a unified orchestration layer that integrates across complex infrastructures. <br />   <br />  Being featured across multiple Gartner research cycles reflects Fabrix.ai’s maturity as an agentic AI platform, supported by real-world deployments and strategic partnerships. <br />   <br />  <strong>Upcoming Webinar</strong> <br />  Fabrix.ai will host a webinar titled “Market Insights - From AIOps to AgentOps With Fabrix’s Agentic Data Federation” <em>o</em>n April 8 at 8:30 a.m. PST, offering further insights into its platform and approach.</div>  
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  <entry>
   <title>Kingfisher and Google Cloud Partner to Launch AI-Powered Shopping Experience</title>
   <updated>2026-03-18T11:07:00+01:00</updated>
   <id>https://www.dailycsr.com/Kingfisher-and-Google-Cloud-Partner-to-Launch-AI-Powered-Shopping-Experience_a5620.html</id>
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   <published>2026-03-18T11:05:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/95430098-66742207.jpg?v=1773828463" alt="Kingfisher and Google Cloud Partner to Launch AI-Powered Shopping Experience" title="Kingfisher and Google Cloud Partner to Launch AI-Powered Shopping Experience" />
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      <div style="text-align: justify;">Kingfisher plc, a leading global home improvement retailer, has announced a multi-year collaboration with Google Cloud aimed at transforming the online shopping experience through agentic AI. <br />   <br />  Leveraging Google Cloud’s technology, Kingfisher plans to go beyond conventional keyword searches across its brands—including B&amp;Q, Castorama in France and Poland, and Brico Dépôt France—by introducing AI-driven shopping assistants that anticipate customer needs. <br />   <br />  The partnership focuses on two main initiatives:</div>    <ul>  	<li style="text-align: justify;"><strong>Enhanced search with Vertex AI:</strong> Kingfisher is adopting Vertex AI Search for Commerce, shifting from basic keyword-based searches to more natural, conversational discovery. This approach aligns with modern shopping habits, enabling faster and more accurate results. Initial testing at B&amp;Q has already delivered promising outcomes.</li>  </ul>    <div style="text-align: justify;">&nbsp;</div>    <ul>  	<li style="text-align: justify;"><strong>AI-powered proactive shopping:</strong> By utilizing Google Cloud’s capabilities, Kingfisher aims to leverage its extensive product and data assets to create intelligent shopping agents. These AI assistants will help customers plan complex home improvement projects, generate optimized shopping lists, and complete purchases seamlessly.</li>  </ul>    <div style="text-align: justify;"> <br />  Thierry Garnier, CEO of Kingfisher plc, commented: “Partnering with Google Cloud allows us to offer AI-enhanced shopping experiences, making it easier for customers to find and purchase home improvement products. These investments position Kingfisher at the forefront of AI-driven retail, driving meaningful innovation within our growing digital ecosystem and addressing the evolving expectations of our customers.” <br />   <br />  Matt Renner, President and Chief Revenue Officer at Google Cloud, added: “Kingfisher is redefining how retailers can harness cloud technology to tackle complex customer challenges. By integrating Vertex AI and preparing its data for an agentic future, Kingfisher is creating genuinely helpful, conversational shopping experiences. We are proud to support their digital transformation across the UK and Europe.” <br />   <br />  This agreement builds on Kingfisher’s existing use of Google Cloud to enhance digital operations and drive omnichannel growth, which has already contributed to e-commerce making up more than 20% of Group sales. It also complements the success of Kingfisher’s proprietary AI platform, Athena, launched in 2023, which powers virtual assistants such as Hello Casto and Hello B&amp;Q. <br />   <br />  Additionally, Kingfisher collaborates closely with Google’s Ads and Shopping teams to boost online performance. Central to these efforts is the modernization of Nucleus, Kingfisher’s data lake, which provides a secure and scalable foundation for current and future AI initiatives.</div>  
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  <entry>
   <title>Bell Integration White Paper Explores AI-Driven Autonomous Enterprise Operations</title>
   <updated>2026-03-16T15:35:00+01:00</updated>
   <id>https://www.dailycsr.com/Bell-Integration-White-Paper-Explores-AI-Driven-Autonomous-Enterprise-Operations_a5606.html</id>
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   <published>2026-03-16T15:33:00+01:00</published>
   <author><name>Debashish Mukherjee</name></author>
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      <img src="https://www.dailycsr.com/photo/art/default/95385013-66718061.jpg?v=1773671726" alt="Bell Integration White Paper Explores AI-Driven Autonomous Enterprise Operations" title="Bell Integration White Paper Explores AI-Driven Autonomous Enterprise Operations" />
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      <div style="text-align: justify;">Bell Integration has released a new white paper titled “The Autonomous Enterprise: Architecting Predictive, Self-Healing Operations with AI,” providing AI leaders with a strategic guide to developing intelligent, self-optimising operational systems. <br />   <br />  As IT environments continue to expand in scale and complexity, organisations face increasing pressure to maintain resilient, high-performance digital services. <br />   <br />  Based on Bell Integration’s extensive experience—supported by a team of 350 AI specialists working across complex enterprise IT infrastructures—the white paper delivers practical insights and guidance for organisations looking to begin their journey toward autonomous enterprise operations. <br />   <br />  Alison Hodivala, Director of AI &amp; Data Portfolio Strategy at Bell Integration, said: “The rapid pace of change and the sheer volume of data have surpassed the limits of traditional operating models. Every transaction, sensor input, and user interaction generates a constant stream of information that presents both opportunities and potential risks. This white paper illustrates how AI-driven autonomy and decision-making can transform enterprise performance by minimising risk, improving response times, and enhancing overall resilience.” <br />  Designed for IT leaders, the report outlines a structured approach for moving from reactive workflows to proactive, predictive operations that improve service reliability and operational agility. <br />   <br />  <strong>Key chapters include</strong> <br />  <strong>The Changing Digital Landscape</strong> <br />  Modern systems generate continuous data flows from transactions, sensors, and user interactions, creating both opportunities and challenges for organisations. <br />   <br />  <strong>The Operational Reality: Complexity at Machine Speed</strong> <br />  Traditional, tightly controlled IT environments have evolved into dynamic ecosystems characterised by constant change. <br />   <br />  <strong>A Framework for Intelligent Operations</strong> <br />  As IT, OT, IoT, and security systems converge, intelligence becomes the central organising principle. <br />   <br />  <strong>The Role of Agentic AI</strong> <br />  Autonomous AI agents are reshaping how organisations handle monitoring, decision-making, and issue resolution. <br />   <br />  <strong>The Human Dimension</strong> <br />  While systems operate autonomously within defined parameters, humans remain responsible for setting intent and maintaining oversight. <br />   <br />  <strong>Applying Autonomy Across the Enterprise</strong> <br />  With AI integrated into core platforms, systems across IT, security, and connected assets are beginning to collaborate with increased contextual awareness. <br />   <br />  <strong>Leading the Autonomous Enterprise with Trust</strong> <br />  Achieving successful autonomy requires not only advanced technology but also strong governance, ethical design, and organisational trust.</div>  
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