#How CrowdStrike Transformed Incident Response
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#CrowdStrike Incident Response#How CrowdStrike Transformed Incident Response#CrowdStrike Security Solutions#Impact of CrowdStrike on Incident Response#CrowdStrike Cybersecurity Innovations#CrowdStrike and Modern Incident Response#Incident Response with CrowdStrike#CrowdStrike Threat Detection#CrowdStrike Security Platform Benefits#CrowdStrike Cyber Defense Strategy
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Ransomware Protection Market Segmentation: Size, Share, Scope, Analysis, Forecast, Growth & Industry Report 2032
The Ransomware Protection Market was valued at USD 25.59 billion in 2023 and is expected to reach USD 91.80 billion by 2032, growing at a CAGR of 15.29% over the forecast period 2024-2032.
The rise of sophisticated cyberattacks has made ransomware one of the most pressing threats facing businesses, governments, and individuals worldwide. As digital transformation accelerates and organizations become increasingly data-dependent, the demand for robust ransomware protection solutions has reached unprecedented levels. With ransomware incidents becoming more frequent, costly, and targeted, the need for advanced defense mechanisms—ranging from endpoint protection to backup and recovery tools—continues to drive the growth of the global ransomware protection market.
Ransomware Protection Market Size, Share, Scope, Analysis, Forecast, Growth, and Industry Report 2032 explores how this market is evolving in response to growing cyber threats and an increasingly complex threat landscape. The report highlights key developments in detection technologies, response strategies, and regulatory frameworks that are shaping the way businesses approach cybersecurity. The market is not only growing in value but also in scope, encompassing services and solutions across various industries, including healthcare, finance, education, and critical infrastructure.
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Market Keyplayers:
Microsoft (Microsoft Defender, Azure Sentinel)
Cisco Systems (Cisco Umbrella, Cisco Secure Endpoint)
CrowdStrike (Falcon Prevent, Falcon Insight)
Palo Alto Networks (Cortex XDR, Prisma Cloud)
Sophos (Intercept X, XG Firewall)
Trend Micro (Worry-Free Business Security, Deep Discovery)
Check Point Software (ThreatCloud, SandBlast)
Fortinet (FortiGate, FortiEDR)
McAfee (McAfee Total Protection, MVISION Endpoint Security)
FireEye (Helix, Endpoint Security)
Kaspersky Lab (Kaspersky Anti-Virus, Kaspersky Endpoint Security)
ESET (ESET NOD32 Antivirus, ESET Endpoint Security)
Carbon Black (VMware Carbon Black Cloud, Carbon Black Response)
Bitdefender (Bitdefender GravityZone, Bitdefender Antivirus)
Acronis (Acronis Cyber Protect, Acronis True Image)
Barracuda Networks (Barracuda Web Security Gateway, Barracuda Backup)
Veeam (Veeam Backup & Replication, Veeam Availability Suite)
Symantec (Symantec Endpoint Protection, Symantec Advanced Threat Protection)
Mimecast (Mimecast Email Security, Mimecast Targeted Threat Protection)
Zscaler (Zscaler Internet Access, Zscaler Private Access)
Market Trends
Several notable trends are shaping the ransomware protection market as organizations work to stay ahead of increasingly agile and aggressive cybercriminals:
Zero Trust Security Models: With perimeter-based defenses proving insufficient, organizations are shifting toward zero trust architectures that require continuous authentication and least-privilege access. This trend is significantly influencing how companies design their ransomware defense strategies.
Cloud-Based Ransomware Protection: As more enterprises migrate to cloud environments, the demand for cloud-native ransomware protection solutions has surged. Vendors are now offering scalable, cloud-integrated tools that provide real-time monitoring and threat intelligence.
AI and Machine Learning Integration: Modern ransomware protection tools are leveraging artificial intelligence and machine learning algorithms to detect anomalies and respond to threats faster than traditional systems. These technologies are enabling proactive threat hunting and behavioral analysis.
Ransomware-as-a-Service (RaaS): On the attacker side, the proliferation of RaaS platforms has lowered the barrier to entry for cybercriminals, making ransomware attacks more accessible and frequent. This trend, in turn, is forcing security vendors to innovate rapidly and offer more sophisticated solutions.
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Market Segmentation:
By Solution
Standalone Anti-Ransomware Software
End-Point Security
Network Security
Secure Web Gateways
By Service
Managed
Consulting
Support & Management
By Industry Vertical
BFSI
IT & Telecom
Healthcare
Education
Manufacturing
Retail
By Deployment Mode
Cloud
On-Premise
Market Analysis
Factors contributing to this growth include increasing cybercrime incidents, the high cost of downtime and data loss, and stricter regulatory requirements around data protection. The financial impact of ransomware attacks—measured not only in ransom payments but also in recovery costs, reputational damage, and legal liabilities—continues to highlight the importance of comprehensive protection strategies.
North America holds the largest market share, driven by early adoption of advanced cybersecurity technologies, a strong regulatory environment, and a high concentration of targeted industries such as healthcare and finance. Meanwhile, Asia-Pacific is expected to exhibit the highest growth rate due to rapid digitalization, growing awareness of cyber risks, and the expanding presence of global cybersecurity vendors in the region.
Small and medium-sized enterprises (SMEs), previously slower to invest in cybersecurity, are emerging as a key market segment due to their growing vulnerability and increasing reliance on digital tools. Vendors are now offering affordable, scalable solutions tailored specifically for SMEs to tap into this expanding customer base.
Future Prospects
The future of the ransomware protection market looks both promising and challenging. On the one hand, technological innovation continues to produce more advanced and effective tools for detection, prevention, and recovery. On the other, threat actors are constantly adapting, employing techniques like double extortion, data exfiltration, and stealthy lateral movement within networks.
Going forward, greater collaboration between governments, private companies, and cybersecurity firms will be essential to tackling ransomware at scale. International efforts to track and dismantle ransomware groups, coupled with increased investments in cybersecurity infrastructure, are expected to play a crucial role in reducing the threat landscape.
Moreover, the growing integration of ransomware protection within broader cybersecurity ecosystems—such as Security Information and Event Management (SIEM), Extended Detection and Response (XDR), and Managed Detection and Response (MDR) platforms—will enhance visibility and resilience across enterprise networks. Education and employee training will also remain vital components of any ransomware defense strategy, as human error continues to be a common entry point for attacks.
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Conclusion
The ransomware protection market is undergoing dynamic growth as digital threats continue to evolve in complexity and impact. With cybercriminals developing more sophisticated attack vectors and targeting a wider range of organizations, the demand for comprehensive, scalable, and intelligent protection solutions is stronger than ever. As the market matures, it will be shaped by continued innovation, evolving regulations, and a global push for more secure digital ecosystems. By staying ahead of trends and investing in adaptive cybersecurity strategies, organizations can better safeguard their data, operations, and reputations in the years to come.
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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.
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Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)
#Ransomware Protection Market#Ransomware Protection Market Trends#Ransomware Protection Market Scope
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CrowdStrike: Cybersecurity pros want safer, specialist GenAI tools
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CrowdStrike: Cybersecurity pros want safer, specialist GenAI tools
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CrowdStrike commissioned a survey of 1,022 cybersecurity professionals worldwide to assess their views on generative AI (GenAI) adoption and its implications.
The findings reveal enthusiasm for GenAI’s potential to bolster defences against increasingly sophisticated threats, but also trepidation over risks such as data exposure and attacks on GenAI systems.
While much has been speculated about the transformative impact of GenAI, the survey’s results paint a clearer picture of how practitioners are thinking about its role in cybersecurity.
According to the report, “We’re entering the era of GenAI in cybersecurity.” However, as organisations adopt this promising technology, their success will hinge on ensuring the safe, responsible, and industry-specific deployment of GenAI tools.
CrowdStrike’s research reveals five pivotal findings that shape the current state of GenAI in cybersecurity:
Platform-based GenAI is favoured
80% of respondents indicated a preference for GenAI delivered through integrated cybersecurity platforms rather than standalone tools. Seamless integration is cited as a crucial factor, with many preferring tools that work cohesively with existing systems. “GenAI’s value is linked to how well it works within the broader technology ecosystem,” the report states.
Moreover, almost two-thirds (63%) of those surveyed expressed willingness to switch security vendors to access GenAI capabilities from competitors. The survey underscores the industry’s readiness for unified platforms that streamline operations and reduce the complexity of adopting new point solutions.
GenAI built by cybersecurity experts is a must
Security teams believe GenAI tools should be specifically designed for cybersecurity, not general-purpose systems. 83% of respondents reported they would not trust tools that provide “unsuitable or ill-advised security guidance.”
Breach prevention remains a key motivator, with 74% stating they had faced breaches within the past 18 months or were concerned about vulnerabilities. Respondents prioritised tools from vendors with proven expertise in cybersecurity, incident response, and threat intelligence over suppliers with broad AI leadership alone.
As CrowdStrike summarised, “The emphasis on breach prevention and vendor expertise suggests security teams would avoid domain-agnostic GenAI tools.”
Augmentation, not replacement
Despite growing fears of automation replacing jobs in many industries, the survey’s findings indicate minimal concerns about job displacement in cybersecurity. Instead, respondents expect GenAI to empower security analysts by automating repetitive tasks, reducing burnout, onboarding new personnel faster, and accelerating decision-making.
GenAI’s potential for augmenting analysts’ workflows was underscored by its most requested applications: threat intelligence analysis, assistance with investigations, and automated response mechanisms. As noted in the report, “Respondents overwhelmingly believe GenAI will ultimately optimise the analyst experience, not replace human labour.”
ROI outweighs cost concerns
For organisations evaluating GenAI investments, measurable return on investment (ROI) is the paramount concern, ahead of licensing costs or pricing model confusion. Respondents expect platform-led GenAI deployments to deliver faster results, thanks to cost savings from reduced tool management burdens, streamlined training, and fewer security incidents.
According to the survey data, the expected ROI breakdown includes 31% from cost optimisation and more efficient tools, 30% from fewer incidents, and 26% from reduced management time. Security leaders are clearly focused on ensuring the financial justification for GenAI investments.
Guardrails and safety are crucial
GenAI adoption is tempered by concerns around safety and privacy, with 87% of organisations either implementing or planning new security policies to oversee GenAI use. Key risks include exposing sensitive data to large language models (LLMs) and adversarial attacks on GenAI tools. Respondents rank safety and privacy controls among their most desired GenAI features, highlighting the need for responsible implementation.
Reflecting the cautious optimism of practitioners, only 39% of respondents firmly believed that the rewards of GenAI outweigh its risks. Meanwhile, 40% considered the risks and rewards “comparable.”
Current state of GenAI adoption in cybersecurity
GenAI adoption remains in its early stages, but interest is growing. 64% of respondents are actively researching or have already invested in GenAI tools, and 69% of those currently evaluating their options plan to make a purchase within the year.
Security teams are primarily driven by three concerns: improving attack detection and response, enhancing operational efficiency, and mitigating the impact of staff shortages. Among economic considerations, the top priority is ROI – a sign that security leaders are keen to demonstrate tangible benefits to justify their spending.
CrowdStrike emphasises the importance of a platform-based approach, where GenAI is integrated into a unified system. Such platforms enable seamless adoption, measurable benefits, and safety guardrails for responsible usage. According to the report, “The future of GenAI in cybersecurity will be defined by tools that not only advance security but also uphold the highest standards of safety and privacy.”
The CrowdStrike survey concludes by affirming that “GenAI is not a silver bullet” but has tremendous potential to improve cybersecurity outcomes. As organisations evaluate its adoption, they will prioritise tools that integrate seamlessly with existing platforms, deliver faster response times, and ensure safety and privacy compliance.
With threats becoming more sophisticated, the role of GenAI in enabling security teams to work faster and smarter could prove indispensable. While still in its infancy, GenAI in cybersecurity is poised to shift from early adoption to mainstream deployment, provided organisations and vendors address its risks responsibly.
See also: Keys to AI success: Security, sustainability, and overcoming silos
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.
Explore other upcoming enterprise technology events and webinars powered by TechForge here.
Tags: ai, artificial intelligence, cyber security, cybersecurity, hacking, infosec, security
#adoption#Adversarial attacks#ai#ai & big data expo#amp#Analysis#applications#approach#Articles#artificial#Artificial Intelligence#automation#Big Data#breach#burnout#california#Cloud#complexity#compliance#comprehensive#conference#cost savings#cyber#cyber security#cybersecurity#cybersecurity experts#data#deployment#detection#Digital Transformation
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Navigating Cloud Outages: A Timeline from Chaos to Control
The cloud, once a nascent technology, has become the backbone of modern business. Its promise of scalability, flexibility, and cost-efficiency has led to unprecedented reliance. However, the journey from early, unreliable cloud services to today's robust infrastructure has been marked by significant challenges, particularly cloud outages.
A cloud outage occurs when cloud-based services experience disruptions, impacting businesses and individuals alike. From email and file storage to critical applications, dependencies on cloud infrastructure have magnified the consequences of these disruptions. This article delves into the evolution of cloud reliability, comparing the frequent outages of the past to the improved performance of today's cloud services. By examining historical trends, analyzing case studies, and exploring emerging technologies, we aim to understand how the industry has addressed this critical challenge.
The Early Days of Cloud Computing: A Tale of Troubles
The early days of cloud computing were fraught with instability. Hardware failures, software bugs, and network congestion were common culprits behind frequent outages. Major providers experienced multiple disruptions, impacting a wide range of services and undermining trust in the cloud.
The Evolution of Cloud Reliability
The cloud industry has undergone a transformative journey in response to these challenges. Investments in redundant infrastructure, advanced monitoring tools, and robust disaster recovery plans have significantly enhanced cloud reliability.
Virtualization and containerization technologies have played a pivotal role in improving resilience. By isolating applications and data, these technologies reduce the impact of failures and facilitate rapid recovery. Additionally, the adoption of DevOps practices and automation has streamlined operations and reduced human error.
A Timeline of Cloud and Data Center Outages
Early Cloud Years (2000s)
2009: Multiple AWS outages caused by lightning strikes, power failures, and hardware issues. These early incidents emphasized the need for robust cloud infrastructure and disaster recovery plans.
The Rise of Cloud Computing (2010s)
2011: Amazon EBS outage impacting numerous services reliant on the storage platform. This event highlighted the interconnectedness of cloud services.
2012: A series of outages affecting various cloud providers, emphasizing the need for redundancy and disaster recovery.
2014: While outages continued to occur, their frequency and impact began to decrease due to industry advancements.
The Era of Digital Transformation (2020s)
2020: The COVID-19 pandemic increased reliance on cloud services, leading to unprecedented strain on cloud infrastructure. Some providers experienced service disruptions due to increased load.
Recent High-Profile Cloud Outages
2021: AWS experienced a significant outage affecting services like Disney+, Netflix, and Slack. The disruption lasted several hours, causing widespread inconvenience and financial loss.
2022: Several high-profile outages affected major cloud providers, Microsoft Azure faced a substantial outage that impacted services globally, affecting businesses reliant on Microsoft's cloud infrastructure.
2023:The latest major outage, in early 2023, involved Microsoft Azure again, where a critical service disruption affected numerous enterprises. During this period, CrowdStrike's endpoint security solutions played a crucial role in maintaining the security and integrity of end-user devices, such as desktops, laptops, and mobile devices. As leaders in the endpoint security market, both Microsoft and CrowdStrike showcased their capabilities in ensuring robust cybersecurity measures during the outage.
A Comparative Analysis: Then and Now
While cloud outages still occur, their frequency and severity have decreased dramatically. Modern cloud infrastructure is designed with redundancy and fault tolerance in mind, making it more resilient to disruptions. However, the complexity of cloud environments also introduces new challenges.
Causes, Impacts, and Recovery
Causes: The causes of these outages varied from software bugs and network configuration issues to hardware failures and third-party service disruptions.
Impacts: The impacts were widespread, affecting user access, business operations, and revenue. Companies reliant on these cloud services experienced significant downtime, leading to customer dissatisfaction and potential loss of business.
Recovery: Recovery efforts involved rapid identification of the issue, deployment of fixes, and communication with affected customers. Lessons learned from these incidents often lead to improvements in cloud infrastructure and processes.
Mitigating the Impact
To minimize the impact of cloud outages, businesses should implement robust disaster recovery plans, diversify cloud providers, and invest in business continuity strategies. Additionally, close monitoring of cloud service performance and regular testing of backup systems are essential. By understanding the potential consequences of cloud outages and taking proactive steps to mitigate risks, businesses can build resilience and protect their bottom line.
Future Trends in Cloud Outage Prevention and Management
The future of cloud outage prevention and management looks promising, with several trends emerging:
AI and Machine Learning: AI and machine learning can predict potential failures and automate recovery processes, reducing the impact of outages.
Edge Computing: Distributing data and applications closer to end-users can enhance performance and resilience.
Multi-Cloud Strategies: Using multiple cloud providers can mitigate risks and improve redundancy.
Blockchain Technology: Leveraging blockchain for secure and decentralized cloud infrastructure could offer new ways to enhance cloud resilience.
Cloud outages are inevitable, but their impact can be mitigated with the right strategies. Implementing redundancy, enhancing cloud security, and developing comprehensive disaster recovery plans are critical steps towards resilience. The future of cloud resilience lies in continuous improvement and the adoption of advanced technologies. As AI, machine learning, and edge computing evolve, they will play a crucial role in preventing and managing cloud outages.
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Sumo Logic Accelerates Continuous Intelligence for Modern Businesses with New Product Innovations
REDWOOD CITY, Calif., Sept. 12, 2019 (GLOBE NEWSWIRE) — Sumo Logic, the leader in continuous intelligence, announced several innovations during its day two keynote today at its Illuminate user conference. making it easier for customers to stay competitive in today’s Intelligence Economy. The new enhancements to the company’s platform include next-generation dashboarding visualization for faster data insights, a Data Enrichment for logs feature that gives users richer metadata for users to describe their log data streams in a more natural and intuitive way and Metric Transformation Rules for advanced control over their time series data. The company also announced updates to its Global Intelligence Service and added new security out-of-the-box security applications to help security teams better prioritize their security incidents and accelerate response. In addition, new integrations with Slack and MongoDB provide customers with expanded monitoring capabilities to help them audit and secure these popular enterprise technologies. “Today, unstructured data created by digital services such as IoT, mobile apps, websites, and SaaS services is the primary source of signal for businesses. Without a way to consolidate these signals into a single, real-time view, companies remain stuck in an intelligence gap,” said Christian Beegen, co-founder and CTO, Sumo Logic. “The new capabilities and integrations we announced today provide our customers with the opportunity to close this gap by securing applications, introducing new services and improving customer experience.” Sumo Logic’s cloud-native, Continuous Intelligence Platform enables three solutions for customers: Operational Intelligence, Security Intelligence and Global Intelligence. The new platform and solution improvements announced today span across all three areas to help customers leverage analytics and insights to build, run and secure their modern applications and cloud infrastructures.Get More Operational Intelligence, Your Way Building off the success of its recently announced Kubernetes solution, Sumo Logic announced new innovations that give customers the freedom to approach their data with their own architectural and mental models, reducing friction when monitoring, troubleshooting, and securing their applications. Operational Intelligence innovations include:Next-Gen Dashboard Visualizations enable customers to have rich unified analytics across their metrics and logs data with detailed visual control for optimal monitoring and troubleshooting. Customers can now templatize their dashboards to rescope data on the fly, get interactive and data-dense visuals that help them isolate patterns quickly, and export dashboards to PDF or PNG for easy sharing via email or Slack.Data Enrichment for Logs gives customers the ability to describe their log data in a natural and intuitive way by mapping their mental model of how they think about logs to simple key value pairs. Sumo Logic has extended the already extensive metadata support of their metrics product to log data, including automatically capturing metadata from integrations – including the new Kubernetes solution. With this new feature customers can freely tag their logs with simple key-value pairs, helping them investigate and solve issues faster. Any Sumo Logic collector and log source will now support adding key-value pair fields. These fields can be used everywhere in Sumo Logic, from searching logs to securing access via RBAC. Metrics Transformation Rules helps users maximize the value of their time series data by giving them control of the granularity and retention of this data. With fine-control over the retention of their time series data, they can now keep high cardinality, high volume operations data for just a few days, while also aggregating the raw data into high-performance, Key Performance Indicators (KPIs) that can be cost-effectively stored for months. Get Actionable Security Intelligence, Prioritized As cloud and digital transformation increasingly make traditional approaches to security ineffective, Sumo Logic now has more than 1,000 customers who leverage Sumo’s Cloud SIEM to provide the security intelligence they need to scale detection & prioritization, investigation, and workflow for modern defense. The Security and Global Intelligence updates announced today include: New updates to Global Intelligence Services (GIS) for Amazon GuardDuty provide customers a threat anomaly score based on the unusualness of their threat findings they can use to assess their security posture, prioritize responses, and generate a remediation plan. GIS for Amazon GuardDuty helps SecOps professionals cut through the clutter of security alerts and threats by giving them the ability to benchmark their GuardDuty findings against a baseline computed across the broader AWS user base in real time. In addition to the threat anomaly score, customers can leverage a rare events capability that detects threats that are not common in the broader AWS user community, but appear in the customer’s account, to further assist with threat detection and threat hunting.30+ New and Updated Out-of-the-Box Security Applications that further help customers ingest, enrich, and visualize insight from critical elements of their defense. Sumo Logic has updated core applications such as Carbon Black, CrowdStrike, Okta, and Netskope as well as developed new integrations with Aqua, StackRox, and Twistlock that enhance the security of Kubernetes and the modern application stack. In addition, new applications to secure AWS, GCP and Azure extend Sumo Logic’s multi-cloud and hybrid security intelligence solution. With more than 200 total out-of-the-box applications, customers can integrate intelligence across a breadth of both security and operations use cases. New Integrations with Popular Enterprise Technologies Sumo Logic unveiled integrations with new partners to roll out applications that further expand security and monitoring capabilities and increase users’ visibility into technologies being used at the heart of enterprises today. These new integrations include:Slack – The Sumo Logic App for Slack gives customers the ability to closely monitor external users, access patterns, member profiles, and audit all actions in one place. With this single-pane-of-glass view, users can quickly identify if and when critical data leaves the organization and correlate information across workspaces, channels, member and types (i.e. guest) to accelerate their security, audit incident investigation and threat hunting efforts.MongoDB Atlas – The Sumo Logic App for MongoDB Atlas gives customers comprehensive visibility into operations, health and security of their Atlas clusters. With this out-of-the-box solution, users can optimize the performance of an Atlas cluster by identifying slow and inefficient queries and monitor key database and system metrics to determine how to optimize your Atlas cluster resources. For security, users can monitor user logins and audit events, projects and organizational activity. In addition, they can also detect potential incoming threats and indicators of compromise via a built-in threat intelligence database. “Increasingly, our customers are choosing to migrate existing on-prem workloads to the cloud or to launch new projects in a cloud-native environment on MongoDB Atlas,” said Sahir Azam, SVP of Cloud Products & GTM, MongoDB. “This latest expansion of Sumo Logic’s MongoDB integration will give joint customers valuable insights into the performance, security and operations of their Atlas workloads.”Additional ResourcesRead about additional Sumo Logic platform innovationsRead about the new Sumo Logic App for SlackRead more about the Sumo Logic App for MongoDBFollow Illuminate on social media using the hashtag #SumoIlluminateSign up for a free trial of Sumo LogicAbout Sumo Logic Sumo Logic is a secure, cloud-native, Continuous Intelligence Platform for DevSecOps delivering real-time, continuous intelligence from structured, semi-structured and unstructured data across the entire application lifecycle and stack. More than 2,000 customers around the globe rely on Sumo Logic for the intelligence to build, run and secure their modern applications and cloud infrastructures. Only Sumo Logic delivers its platform based on a true, multi-tenant, SaaS architecture, enabling digital businesses to thrive in the Intelligence Economy.Founded in 2010, Sumo Logic is a privately held company based in Redwood City, Calif. and is backed by Accel Partners, Battery Ventures, DFJ Growth, Franklin Templeton, Greylock Partners, IVP, Sapphire Ventures, Sequoia Capital, Sutter Hill Ventures and Tiger Global Management. For more information, visit www.sumologic.com.Sumo Logic and Illuminate are trademarks or registered trademarks of Sumo Logic in the United States and in foreign countries. All other company and product names may be trademarks or registered trademarks of their respective owners.Any information regarding offerings, updates, functionality, or other modifications, including release dates, is subject to change without notice. The development, release, and timing of any offering, update, functionality, or modification described herein remains at the sole discretion of Sumo Logic, and should not be relied upon in making a purchase decision, nor as a representation, warranty, or commitment to deliver specific offerings, updates, functionalities, or modifications in the future.Media Contacts Melissa Liton Sumo Logic [email protected] (650) 814-3882Sydney Holmquist PAN Communications for Sumo Logic [email protected] (407) 734-7327
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