Latest news with #DevOps
Forbes
7 hours ago
- Business
- Forbes
Why Hybrid Cloud Security Is A Top CISO Priority For 2025
Jonathan Fischbein is the Chief Information Security Officer at Check Point Software Technologies. Cloud infrastructure has become the backbone of modern IT frameworks, playing a critical role in supporting services ranging from email and data storage to application hosting and DevOps. As organizations continue to accelerate their adoption of cloud technology to streamline operations and drive business efficiency; they may also be exposing themselves to an expanding array of security risks and vulnerabilities. The rise of hybrid cloud environments—where companies utilize a mix of private and public clouds—has only compounded these security risks. According to research by my company, Check Point, security risks from hybrid cloud deployments pose a unique set of challenges for cybersecurity professionals. From vulnerabilities related to administration and misconfigurations to challenges in threat detection and prevention, global CISOs must become more vigilant in their treatment of hybrid environments. The Complexity Of Cloud Administration As organizations expand their cloud footprint to take advantage of cost, performance and geographic efficiencies, they must now monitor for issues across a more diverse and disconnected cloud ecosystem. With each new cloud service provider comes a new potential threat surface and an opportunity for administrative oversight. Navigating this ever-expanding landscape is no easy task, especially when administrators are tasked with managing myriad configurations and settings to ensure the security of their environments. One of the most challenging aspects of cloud security is the management of non-human identities (NHIs), such as service accounts, API keys and built-in user accounts. These entities are critical to the functionality of cloud systems but can often be misconfigured or inadequately secured, providing easy points of entry for attackers. One example occurred in January 2024, when the advanced nation-state threat group Midnight Blizzard exploited a misconfigured OAuth application in Microsoft's Azure environment. This vulnerability allowed attackers to pivot from testing environments to production, accessing sensitive systems and even internal emails from top Microsoft executives. In India, a misconfigured S3 bucket exposed over 500GB of sensitive personal and biometric data, including information from military personnel, while other major corporations also experienced breaches due to misconfigured cloud storage containers. The Hazards Of Hybrid Environments Many organizations use identity and access management (IAM) solutions to integrate and streamline user authentication across both cloud and on-premises systems. While this integration provides seamless user experiences, it also creates potential pathways for lateral movement by attackers. Why is this so important? Once attackers compromise an on-premises network, they can pivot into cloud environments through various vectors, including hybrid user accounts and cloud connectors. In 2024, an attack like this occurred when the financially motivated threat actor Storm-0501 launched a series of multi-stage attacks against hybrid cloud environments. These attacks allowed the actor to deploy backdoor accounts, spread ransomware and infiltrate sensitive systems across the network. Securing Single Sign-On Accounts Single sign-on (SSO) systems have become a popular method for managing authentication across cloud and on-premises applications. However, as organizations increasingly rely on third-party SSO providers, cybercriminals have shifted more focus to exploiting these services. Credential stuffing and brute-force attacks are common tactics used to compromise SSO accounts, making them prime targets for advanced persistent threat (APT) groups. This highlights a critical concern: the reliance on third-party SSO providers for security can be risky, especially if their own security practices are not up to par. Without comprehensive visibility into log data and account activity, organizations may struggle to detect and respond to security incidents in a timely manner. The Emergence Of AI-Driven Threats As cloud providers integrate more advanced technologies into their offerings, one of the most significant emerging threats comes from generative AI. Cloud services now provide the infrastructure to build, train and deploy custom large language models (LLMs), enabling companies to create tailored AI solutions for their specific business needs. These models can integrate proprietary data, offering better control over sensitive information and ensuring privacy. However, as AI becomes more accessible, threat actors are finding new ways to exploit these technologies. One of the newest threats is a form of cloud hijacking known as LLM-jacking. In this attack, malicious actors compromise cloud accounts to take control of existing hosted LLM models or deploy their own. Once in control, attackers can resell access to these models or exploit them for malicious purposes. For example, one group used an LLM proxy to resell access to the model, while others leveraged jailbreaks to create and sell uncensored chatbot characters. This trend isn't just hypothetical. Threat groups have been caught using ChatGPT to generate advanced tools and research vulnerabilities. There is also now growing evidence that threat actors may pivot to private LLM instances to gain better operational security, using cloud-based AI for more sophisticated, harder-to-detect attacks. Hybrid Cloud Visibility And Protection Have Become Mission-Critical The cloud's attack surface is growing exponentially as businesses continue to leverage its capabilities for operational efficiency. Protecting these environments requires staying ahead of evolving threats, securing both cloud and hybrid infrastructures, and continuously refining security practices. The key to mitigating cloud vulnerabilities lies in understanding the technology's evolving nature and taking proactive measures to safeguard sensitive data and systems. Of course, in the AI era, a prevention-first security strategy means organizations must leverage AI solutions to drive real-time detection and response and consolidate security operations. Most importantly, security must be a primary business goal. Building modern cyber resilience requires a robust zero trust strategy, automated threat and misconfiguration management, agile and comprehensive data protection and more. Organizations must prioritize the investments and tactics that will help them build the cybersecurity foundation they need. By staying ahead of the curve, businesses can defend against the next generation of cloud-based cyberattacks. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
5 days ago
- Business
- Yahoo
Composable Infrastructure Market to Reach USD 165.80 Billion by 2032 Amid Surging Demand for Agile, Scalable IT Architectures
U.S. Composable Infrastructure Market Set to Exceed USD 23.90 Billion by 2032, Driven by Cloud-Native Adoption and Enterprise Digital Transformation. Austin, July 17, 2025 (GLOBE NEWSWIRE) -- Composable Infrastructure Market Size Analysis: According to SNS Insider, The Composable Infrastructure Market, valued at USD 7.62 billion in 2024, is projected to surge to USD 165.80 billion by 2032, expanding at a remarkable CAGR of 47% from 2025 to 2032. This accelerated expansion is fueled by the increasing need for flexible, scalable, and cost-effective IT architectures facilitating the allocation of workloads over the compute, storage, and network resources on the fly. Rapid hybrid and multi-cloud adoption, combined with enterprise-driven focus on data center efficiency and automation, are only adding fuel to the fire of further market growth. Also contributing to the interest in composable architectures in various industries is the move to DevOps and infrastructure as code (IaC) Your Free Sample Copy of the Composable Infrastructure Market Report Today: The U.S. Composable Infrastructure Market was valued at USD 1.30 billion in 2024 and is expected to reach USD 23.90 billion by 2032, growing at a CAGR of 43.92%. Growth is fueled by increasing demand for IT agility, rising adoption of cloud-native technologies, and the need for flexible infrastructure to support evolving enterprise workloads and digital transformation. Major Players Analysis Listed in this Report are: Hewlett-Packard Enterprise Development LP Cisco Systems Inc. Dell Technologies Inc. Huawei Technologies Co. Ltd. Inspur Group Co. Ltd. Lenovo Group Limited NEC Corporation NTT Ltd. SAP SE TidalScale Inc. and others Composable Infrastructure Market Report Scope Report Attributes Details Market Size in 2024 US$ 7.62 billion Market Size by 2032 US$ 165.80 billion CAGR CAGR of 47% From 2025 to 2032 Base Year 2024 Forecast Period 2025-2032 Historical Data 2021-2023 Regional Analysis North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) Key Growth Drivers Growing Demand for Agile and Scalable IT Infrastructure Drives Market Expansion Segment Insights By Component, Hardware Segment Dominated the Composable Infrastructure Market in 2024 with 76.49% Revenue Share In 2024, the hardware segment led the composable infrastructure market, accounting for 76.49% of total revenue. This dominance stems from rising demand for high-performance, modular servers, storage, and networking components. Key players like HPE, Dell Technologies, and Cisco are innovating advanced hardware solutions to meet enterprise needs for flexible, software-defined infrastructure architectures. By Organization Size, Large Enterprises Led the Composable Infrastructure Market in 2024 with 61.99% Revenue Share Owing to High Data Volumes and Dynamic Workload Demands In 2024, large enterprises held a commanding 61.99% share of the composable infrastructure market. These organizations operate vast data centers and manage critical applications with massive data loads. Composable infrastructure enables them to dynamically allocate compute, storage, and networking resources, enhancing operational efficiency and scalability to meet evolving workload demands across complex enterprise environments. By End Use, IT and Telecommunication Industry Dominated the Composable Infrastructure Market in 2024 with 30.58% Revenue Share In 2024, the IT and telecommunication industry led the composable infrastructure market with a 30.58% revenue share. This dominance stems from growing adoption of edge computing and network function virtualization (NFV). Telecom providers are embracing decentralized architectures to reduce latency, support edge devices, and enhance service delivery, driving demand for flexible, software-defined infrastructure solutions across the sector. For a Personalized Briefing with Our Industry Analysts, Connect Now: Composable Infrastructure Market Segmentation By Component Software Hardware By Organization Size Large Enterprises Small and Medium-sized Enterprises (SMEs) By End Use BFSI IT & Telecommunication Retail & Consumer Goods Healthcare Manufacturing Others North America Accounted for 35.70% Share in the Composable Infrastructure Market, Asia Pacific Emerged as the Fastest-Growing Region In 2024, North America held a significant 35.70% share of the composable infrastructure market. This dominance is attributed to early technology adoption, a well-established IT landscape, and the presence of major vendors. Strong demand from sectors such as BFSI, telecom, and healthcare continues to propel regional growth, fueled by the need for scalable and agile infrastructure solutions. Asia Pacific is witnessing the fastest growth in the composable infrastructure market with a 47.43% CAGR from 2025 to 2032. This has been primarily fueled by the rapid digital transformation, investments in cloud & edge computing, and rising demand from both large enterprise as well as SMEs in the region. With the belief that the IT infrastructure benefits the economic growth and innovation, governments, together with the businesses are modernising their IT infrastructure. Buy the Full Composable Infrastructure Market Report (Single-User License) Now: Table of Contents – Major Key Points 1. Introduction 2. Executive Summary 3. Research Methodology 4. Market Dynamics Impact Analysis 5. Statistical Insights and Trends Reporting 5.1 System and Software Deployment Metrics 5.2 Security and Data Protection Metrics 5.3 Security Impact 5.4 Edge Computing Adoption Impact 6. Competitive Landscape 7. Composable Infrastructure Market by Component 8. Composable Infrastructure Market by Organization Size 9. Composable Infrastructure Market by End Use 10. Regional Analysis 11. Company Profiles 12. Use Cases and Best Practices 13. Conclusion About Us: SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world. CONTACT: Contact Us: Jagney Dave - Vice President of Client Engagement Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK) Email: info@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
5 days ago
- Business
- Forbes
How The Protocol Stack Is Reshaping Software Distribution
Wesley is the CEO of FPBlock, helping clients with the latest techniques in functional programming, cloud, DevOps and containerization. In 2008, the App Store changed everything. It gave developers a storefront, users a single portal and platforms a 30% cut on the digital future. For a while, it worked. Developers got distribution. Users got convenience. Platforms got rich. But somewhere along the way, we forgot the internet wasn't meant to be a mall. It was meant to be a commons. Today, a new shift is underway. The future might not lie in apps bundled inside walled gardens. It may instead lie in protocols: composable, permissionless and potentially transformative. The age of the app store could be giving way to the era of the protocol stack. The Myth Of The Magical Middleman For 15 years, builders chased one dream: get featured, get downloaded, get paid. But that dream came with a leash. App stores define what you can build, discovery engines throttle your reach and payment rails dictate your business model. One policy update, one guideline change, and you could be out. This isn't just centralization. It starts to resemble digital feudalism where developers rent land from platform kings. And like all empires, the tax rarely goes down. Permissionless Protocols Protocols function independently. They don't require approval, take a share of revenue or interfere with your monetization strategy. They simply provide the infrastructure to support your application or service. Sign-in with Ethereum, for instance, offers a new approach to authentication, eliminating the need for usernames, passwords or reset links. For communication, XMTP isn't a messaging app, but a protocol that enables secure communication between wallets. Identity, too, is being reimagined. ENS goes beyond domain name assignment; it provides a persistent, portable identity across the web. These aren't apps in the traditional sense. They are building blocks. When combined thoughtfully, they can reduce dependence on centralized platforms and give developers the chance to become platforms themselves. Stack Over Store The app store model is vertically integrated. It tries to control every layer—user experience, data, payments, identity and distribution. The protocol stack takes a different approach. It's horizontally composable. Developers can combine and swap layers as needed. A protocol-powered application might use ENS or Farcaster for identity. It could rely on XMTP or Waku for messaging, and USDC or Superfluid for payments. For storage, it might use IPFS, Arweave or Ceramic. Logic is handled through smart contracts on the chain of your choice. No permission required. Just composition. The Protocol Stack Defined Think of it as a collection of decentralized infrastructure layers. Each one handles a basic internet function—identity, messaging, payments, storage or logic. Developers can assemble these layers to build applications without needing to rely on centralized marketplaces. Instead of a monolithic app owned by a single company, users interact with a network of open protocols. These components are interoperable, modular and often resilient to deplatforming. How Users Discover And Use These Apps Users access protocol-based experiences through wallet-enabled browsers like MetaMask and Rabby, or through services like WalletConnect. Social interfaces such as Farcaster and Lens create spaces for discovery. Aggregators organize and present protocol-enabled frontends. In this environment, distribution doesn't depend on app store ranking but on integration and network relevance. What Builders Need To build on this stack, developers need software development kits from decentralized protocols. They'll also need access to on-chain storage and reliable RPC infrastructure. Smart contract knowledge and frontend integration skills are essential, too. The tools are still maturing, and onboarding remains a hurdle, but the foundational pieces are there. Real-World Adoption Some early adopters are already showing what's possible. Farcaster uses multiple protocols to create decentralized social interactions. Its "frames" system works across different clients and interfaces. Zora focuses on NFT minting and marketplaces with minimal platform friction, offering infrastructure rather than a traditional app. Uniswap, working in tandem with WalletConnect, enables billions in transaction volume through its composable DeFi protocols. These examples show progress, though the trend is still early. Why This Might Win Protocols offer several advantages. They are difficult to deplatform. Builders can compose rather than start from scratch. Many protocols are designed to be multiplayer from the start, which helps generate organic network effects. Most importantly, distribution is no longer controlled by a central store. It happens wherever the protocol is integrated. This isn't just about open-source software. It's about shared state, persistent infrastructure and a foundation for new forms of collaboration. What This Means • For Builders: Start by integrating existing protocols like XMTP or ENS. Don't aim to build super apps. Focus instead on interfaces that highlight what these protocols can do. Be ready for growing pains—documentation is inconsistent, and the developer experience still needs refinement. • For Users: There will be friction at first. But over time, expect smoother experiences. Your digital identity and assets could soon move seamlessly between platforms. That brings more freedom and also more responsibility. • For Investors: Rethink platform-dependent apps. Look for teams that understand how to build with protocols instead of around them. The next big winner may not be a company. It might be an open protocol with a thriving developer community. A Chapter, Not The Whole Story App stores made discovery easier, but they also introduced new dependencies. The protocol stack offers a different model. Not a magic solution, but one that aligns more closely with the open nature of the web. The teams building it aren't waiting for permission. They're working in public. The tools are early, the audience is still small, but the direction deserves attention. Not because it promises success. But because it brings back the freedom to try. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
India.com
6 days ago
- Business
- India.com
Engineering Transformation Through Applied Innovation: How Gnanendra M Reddy Advances DevOps, AI, and Cloud-Native Compliance
In the evolving world of enterprise-scale cloud computing and DevOps transformation, few professionals exhibit the same practical command and foresight as Gnanendra M Reddy. With a career grounded in cloud migration, containerization, CI/CD automation, Cyber Securityand governance frameworks, Gnanendra's contributions address the critical needs for scalability, compliance, and operational efficiency. His expertise combines hands-on technical insight with strategic system design, a balance that sets him apart as a thought leader in cloud-native and DevOps spaces. Gnanendra's research explores key themes in DevOps enablement and cloud-native modernization. His work bridges production-level insights with sustainable system models, creating tested patterns for infrastructure modernization, all aligned with domain-specific needs and system behaviour. Enabling CI/CD Efficiency in R&D-Driven DevOps Environments Published in the Essex Journal of AI Ethics and Responsible Innovation, vol. 3, 2023, Gnanendra's paper, 'Agile and DevOps Transformation in Large-Scale R&D Centres: A Case Study on CI/CD Efficiency Gains', explores the operational challenges faced by R&D organizations. The study addresses deployment bottlenecks in environments with high experimental churn and asynchronous delivery timelines. By applying his expertise in Terraform, GitLab automation, and Kubernetes orchestration, Gnanendra designed modular CI/CD blueprints that supported isolated experimentation without compromising pipeline stability. 'By introducing controlled stages and approval checkpoints based on artifact type and criticality, we preserved delivery agility while enhancing governance,' Gnanendra states in the paper. His solution unified delivery rhythms across teams, maintaining research integrity while incorporating compliance checkpoints, reusable templates, and container scanning stages—all aligned with pipeline maturity and integration frequency. His work demonstrates the ability to scale DevOps philosophy without rigidity, merging innovation with structured automation. Automating Scalable Data Engineering with AI in Cloud Ecosystems In The Newark Journal of Human-Centric AI and Robotics Interaction, vol. 3, pp. 182–223, 2023, Gnanendra co-authored 'AI-Powered Data Engineering: Automating ETL Pipelines for Scalable Cloud Analytics'. The paper discusses how AI can optimize and automate ETL processes across complex cloud environments. Addressing challenges such as diverse datasets and fluctuating data volumes, Gnanendra designed a dynamic orchestration framework combining pipeline inference, metadata tagging, and adaptive scheduling. 'Automation in data engineering must respect the fluidity of data behaviour while maintaining consistency in lineage and validation,' Gnanendra explains in the article. His solution used reinforcement logic to determine pipeline run triggers, reducing idle cycles and improving throughput. The AI-based classifiers predicted data readiness based on historical trends, ensuring timely processing. The system's strength lies in its dynamic Directed Acyclic Graph (DAG) optimization, customized for domain-specific workload patterns. This work reflects Gnanendra's ability to integrate AI into orchestration, optimizing both data engineering constraints and intelligent pipeline mechanics. His approach resulted in measurable improvements in data readiness and orchestration efficiency. Securing Cloud-Native Compliance Through Containerized Migration In the American Journal of Data Science and Artificial Intelligence Innovations, vol. 2, pp. 147–186, 2022, Gnanendra's research titled 'Ensuring Compliance in Cloud-Native Deployments: Migrating VMware Tanzu Workloads to Azure Kubernetes Service (AKS)' addresses compliance enforcement during containerized workload migrations. Focused on large-scale migration projects, his work strikes a balance between achieving cloud-native scalability and maintaining regulatory traceability. 'Ensuring traceable compliance must begin at the deployment plan, not post-deployment,' Gnanendra emphasizes. His research outlines a layered migration process where workloads are containerized and migrated in waves based on classification and dependency mapping. By integrating policy-as-code modules into Kubernetes deployment processes, Gnanendra ensured both runtime security validation and post-deployment compliance reporting. The paper also highlights his use of GitOps workflows for controlled change propagation and audit logging. This architecture demonstrates his mastery of cloud security, operational scale, and compliance fidelity, solidifying Gnanendra's capability to lead secure and scalable migration efforts. Certifications: Deep Expertise in Cloud-Native and DevSecOps Domains Gnanendra's certifications underscore his expertise in cloud-native technologies, automation frameworks, and security compliance. At the core of his portfolio is his recognition as a Kubestronaut, a title earned through his advanced capabilities in Kubernetes architecture, security, and multi-cluster orchestration. This distinction sets him apart as an industry leader in orchestrating containerized applications at scale. His Kubernetes certifications include: Certified Kubernetes Security Specialist (CKS) Certified Kubernetes Administrator (CKA) Certified Kubernetes Developer (CKAD) Kubernetes and Cloud Native Associate (KCNA) Kubernetes and Cloud Security Associate (KCSA) Additionally, Gnanendra holds the HashiCorp Terraform Certified Associate (003) certification, demonstrating his ability to manage infrastructure as code across multi-cloud environments. Complementing his DevOps expertise, Gnanendra has earned credentials in compliance and platform governance: Certified CIS – Risk and Compliance Implementer (ServiceNow) Certified System Administrator – ServiceNow ITIL V3 Certified, confirming his expertise in structured service management across IT operations. These certifications strengthen Gnanendra's ability to lead end-to-end transformation initiatives. His qualifications cover everything from design and automation to security and compliance, ensuring comprehensive, scalable solutions. Transforming Challenges into Scalable Solutions Gnanendra's contributions, reflected in his research and certifications, showcase his ongoing ability to address enterprise-scale challenges and deliver secure, scalable solutions. His work combines domain expertise with an execution-first mindset, continuously shaping infrastructure strategies that are practical, reproducible, and ready for regulation. As cloud-native ecosystems evolve, Gnanendra's decisions, governance models, and automation frameworks remain relevant, impactful, and aligned with the demands of high-compliance, high-performance environments.
Techday NZ
7 days ago
- Business
- Techday NZ
DevOps platforms see surge in outages & downtime in 2024 report
has released a report detailing a significant increase in outages and security incidents across key DevOps platforms, including GitHub, GitLab, Jira, Bitbucket, and Azure DevOps. Report findings The CISO's Guide to DevOps Threats, the latest publication from highlights that 2024 has been marked by notable growth in service disruptions and vulnerabilities affecting development teams worldwide. The report analyses incident data and the resulting impacts for some of the most widely used development environments, with a combined user base of approximately 1.2 billion. Among the platforms surveyed, Jira exhibited a 44% year-on-year increase in reported incidents, rising from 75 in 2023 to 132 in 2024. These incidents caused an accumulated 2,131 hours of downtime, equivalent to 266 standard working days or nearly 13 full weeks of lost productivity. The study notes that the trend is persistent, recording a 63% increase in incident numbers compared to 2022. In the third quarter of 2024 alone, Jira users experienced over 7 hours of critical disruptions. Bitbucket, another popular tool in the Atlassian suite, recorded 38 incidents in 2024, leading to more than 110 hours of downtime. With additional maintenance windows included, the total impact rose close to 200 hours, with more than 70 hours classified as critical or major disruptions. GitHub and GitLab incidents GitHub's service saw a reduction in the number of incidents, falling 25% to 124 events in 2024, down from 165 in the previous year. However, despite this improvement, users still contended with approximately 800 hours of degraded performance, translating to over 100 working days lost across 26 major and 97 minor incidents. The third quarter was particularly unstable, with 42 incidents noted. GitLab faced a 21% increase in reported incidents, growing from 76 in 2023 to 97 in 2024. The platform also had to address 153 vulnerabilities and experienced 798 hours of service disruption. Just 44 incidents collectively contributed to over 585 hours of partial outage, and September stood out as a challenging month with 21 critical vulnerabilities resolved. Azure DevOps impact Azure DevOps, operated by Microsoft, was also affected by service interruptions. The platform suffered 826 hours of downtime across 111 incidents, disrupting services for a period equal to roughly 103 standard working days - approximately 28% of a typical working year. The report suggests these extended outages had a significant operational impact, noting that the lost time could amount to 8 to 10 completed hackathon cycles under normal circumstances. Underlying causes "The source of these numbers across all platforms is rarely limited to isolated technical failures. In most cases, they result from the growing complexity of DevOps environments and the lack of comprehensive, end-to-end visibility across the entire software delivery pipeline. The widespread adoption of distributed architectures, CI/CD practices, and multi-cloud infrastructures significantly increases the challenge of detecting vulnerabilities, enforcing consistent security policies, and responding to incidents in real time," explains Greg Bak, Chief of R&D at "Without a robust backup and disaster recovery strategy, even minor incidents can escalate into critical outages, data loss, or delays in software delivery. Resilience must be embedded into every phase of DevOps - from code repositories to production runtime," Bak added. Industry context The compiled data underlines the growing operational risks in a landscape increasingly reliant on complex integration, distributed systems, and continuous delivery methods. The report's analysis suggests that as organisations continue to adopt advanced development practices and multi-cloud environments, there is a corresponding rise in both the frequency and duration of service disruptions and security incidents. The CISO's Guide to DevOps Threats also includes discussion of emerging cyber threats targeting DevOps environments - covering malware such as Lumma Stealer, NJRat trojans, fraudulent repositories, and various platform vulnerabilities. These findings indicate that security and continuity planning remain critical challenges for DevOps teams operating within today's interconnected software infrastructure.
