Latest news with #2025HybridCloudSecuritySurvey
Forbes
30-06-2025
- Business
- Forbes
Responsible AI Starts With The C-Suite
Shane Buckley is President and Chief Executive Officer of Gigamon, a leader in deep observability. AI is at the top of every board agenda today. With global AI investment expected to surpass $200 billion in 2025 and $750 billion by 2028, the central conversation has shifted to balancing innovation with responsible data use. As AI matures, so do its risks—particularly those related to privacy, security and ethics. To scale responsibly, business leaders must find equilibrium between aggressive AI adoption and intentional governance. As I emphasized in my last Forbes Technology Council article, AI budgeting must begin with a security-first mindset. Today, that mindset is no longer optional. It's a strategic imperative for the C-suite—one that sets the foundation for sustainable, scalable success. Data Risk Is The Core Challenge At the center of AI-related risk lies a fundamental uncertainty: how large language models (LLMs) process, retain and expose sensitive data. These models often contradict Zero Trust principles by opening broader access to networks and information. When confidential business data is entered into third-party AI tools, it may be stored in jurisdictions with incompatible compliance or privacy laws. Employee and third-party misuse—intentional or not—can expose organizations to data leakage, regulatory risk or public breach. According to my company Gigamon's 2025 Hybrid Cloud Security Survey, which included over 1,000 IT and security leaders, visibility into data in motion is now a top business priority. More than half (54%) of respondents expressed reluctance to use AI in public cloud environments due to intellectual property risks, while seven in ten are considering moving data from public to private clouds. The Internal Threat Is Often Overlooked While headlines focus on deepfakes and AI-enabled phishing attacks, a quieter threat looms within: employees unknowingly inputting sensitive data into unsecured AI tools. Even well-intentioned teams can become the weakest link if the organization lacks appropriate controls. A Growing Dark Market For Malicious AI On the dark web, malicious AI tools—black-hat versions of ChatGPT—are enabling adversaries to launch more frequent and sophisticated attacks. Our survey found that 58% of leaders observed an increase in AI-powered ransomware. In 2024 alone, there was an 11% increase global spike in reported ransomware attacks, with over 5,400 attacks logged. The convergence of an expanding threat surface and rapidly advancing attacker capabilities makes a reactive cybersecurity strategy untenable. Accountability Must Extend To Vendors As AI use becomes embedded in third-party systems, vendors represent a growing risk surface. Increasingly, companies are requiring detailed disclosures on how their partners use AI. Transparency, accountability and aligned standards across vendors are critical. If even one supplier is compromised, AI-powered malware can cascade through interconnected systems and impact entire supply chains. Business leaders must extend security-first thinking to external partnerships and vendor ecosystems. When AI is accessible without oversight, organizations risk losing control over their data footprint. But bans aren't the answer—these only encourage unmonitored "shadow AI" use. Instead, responsible enablement must prevail. That includes educating employees, enforcing clear policies and building visibility across enterprise AI stack. Boards Must Lead Governance AI governance is no longer the sole domain of IT. It's a board-level issue. Forward-looking organizations are forming AI governance committees that include the CEO, CISO, CRO and General Counsel. These cross-functional teams are tasked not only with risk oversight, but also with defining the organization's risk appetite, monitoring AI use and maintaining compliance across jurisdictions. True governance is more than policy—it's cultural. It ensures AI is used safely but applied in ways that benefit both people and the business. Ethical Risks Carry Legal Consequences Security isn't the only concern. AI systems can carry ethical reputational risks—from bias to misinformation. Bias in AI can lead to discriminatory results. Hallucinations, when models generate convincing but false information, can mislead decision-making and create legal exposure. Organizations can mitigate these risks through measures like pseudonymization—removing personally identifiable information (PII) before inputting the data into AI systems. Even simple steps—such as stripping customer or vendor names—can improve privacy protection and reduce harmful outcomes. Prioritize Responsible Innovation AI has transformative potential, but only for organizations that wield it with care. C-suite leaders must guide their organizations through bold innovation while safeguarding core values—people, data and trust. Those who take a security-first, governance-led approach today will shape the AI-powered businesses of tomorrow. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Techday NZ
18-06-2025
- Business
- Techday NZ
Gigamon set to lead USD $880 million deep observability market
Gigamon is projected to hold a 52 percent share of the global deep observability market in 2025, according to newly published research by Frost & Sullivan. The research highlights the significant growth expected in deep observability, with Frost & Sullivan estimating a total addressable market value of USD $880 million for 2025, expanding to USD $2.7 billion by 2029. This represents a compound annual growth rate of 33 percent, influenced by enterprises adopting hybrid cloud infrastructure and evolving cybersecurity requirements. Market drivers Frost & Sullivan attributes the increasing demand for deep observability solutions to several challenges confronting contemporary organisations. These include the limitations of traditional security tools, implementation requirements for Zero Trust architectures, and the growth of attack surfaces resulting from new artificial intelligence (AI) workloads. The report notes that legacy log data from cloud and security tools can be insufficient for securing and managing complex hybrid cloud environments. Findings from Gigamon's 2025 Hybrid Cloud Security Survey, which sampled more than 1,000 global Security and IT leaders, revealed real-time threat monitoring and visibility across all data in motion as a leading priority for defence-in-depth strategies. Nearly nine in ten respondents (89 percent) agreed that deep observability is a foundational element of cloud security. Defining deep observability Frost & Sullivan describes deep observability as an approach to efficiently providing network-derived telemetry to cloud, security, and monitoring tools. The report positions deep observability as a critical capability, distinguishing it from traditional observability by incorporating real-time, network-level insights. These capabilities aim to help Security and IT teams achieve better visibility across hybrid cloud environments, which is intended to strengthen organisational security posture and support network and application performance. "Over the past year we've seen organisations increasingly prioritise visibility into all data in motion, as they seek to secure their hybrid cloud environments against an accelerating threat landscape," stated Vinay Biradar, Associate Director, Cybersecurity Advisory at Frost & Sullivan. "The increasing complexity of dynamic and distributed workloads is driving a shift in security investments toward solutions that help deliver complete visibility and reduce risk. Our research once again highlights Gigamon as the industry leader, due to its Deep Observability Pipeline and vast ecosystem, as it delivers the rich network-derived telemetry that modern security tools need to effectively secure data and infrastructure from evolving cyberthreats." Growth across organisations The Frost & Sullivan research highlights that adoption of deep observability solutions is particularly strong among large enterprises, defined as those with more than 5,000 employees. United States federal agencies are also identified as significant adopters, with regulatory requirements around Zero Trust cited as primary reasons for higher uptake. The report outlines several key factors influencing market growth, including improving security posture, Zero Trust architecture implementation, operational efficiency and cost reduction, compliance and cloud governance improvements, and a growing need for comprehensive network traffic insights. Shane Buckley, President and Chief Executive Officer at Gigamon, commented on the pressures organisations face from AI adoption in hybrid cloud infrastructure. "AI is upping the ante for organisations, making complete visibility into all data in motion even more challenging across hybrid cloud infrastructure as organisations rapidly deploy new AI workloads. Increasingly, our customers are relying on the network-derived telemetry we deliver across their virtual machines, containers, cloud, and physical infrastructure, to help eliminate blind spots and vulnerabilities where threat actors could hide. The continued validation of deep observability as a rapidly growing market category underscores its significance in modern cybersecurity tech stacks." Research methodology The Frost & Sullivan analysis is based on a top-down assessment which estimates the deployment of deep observability solutions across global large enterprises and US federal agencies. The research also considers average enterprise spending and includes insights from primary interviews with market participants, including Gigamon. Frost & Sullivan concludes that the combination of increased hybrid and multi-cloud deployment, regulatory developments around Zero Trust, and heightened AI adoption will continue to shape and expand the global deep observability market through 2029.
Business Wire
02-06-2025
- Business
- Business Wire
Gigamon Showcases the Power of Deep Observability at Cisco Live 2025
SANTA CLARA, Calif.--(BUSINESS WIRE)-- Gigamon, a leading deep observability company, today announced it will showcase its Gigamon Deep Observability Pipeline as a sponsor at Cisco Live 2025, June 8-10, at the San Diego Convention Center. Gigamon will host hands-on demonstrations, consultations, contests, and presentations, featuring technology and channel partners such as Armis, Cribl, Corelight, Endace, Forescout, LiveAction, Nutanix, Sumo Logic, WWT and more to the 20,000 attendees expected to attend the conference. AI will be a key focus at this year's Cisco Live. We look forward to sharing how the Gigamon Deep Observability Pipeline can support organizations, enabling greater agility and performance across a range of workloads, including those driven by AI. Share Amid the rise of AI, threat actors have proven their ability to breach traditional perimeter security where they can capitalize on blind spots and wait for opportune moments to attack. For organizations to better secure and manage hybrid cloud infrastructure, complete visibility into all data in motion is essential. In the newly published 2025 Hybrid Cloud Security Survey of more than 1,000 Security and IT leaders, respondents ranked real-time threat monitoring and visibility across all data in motion as the top priority to optimize defense-in-depth strategies. Attendees will see how the Gigamon Deep Observability Pipeline efficiently delivers network-derived telemetry to cloud, security, and observability tools. This enables organizations to maintain uptime and availability, strengthen security across environments, accelerate cloud migration, and reduce the cost and complexity of hybrid cloud operations through tool rationalization. Attendees visiting Gigamon booth #2227 will experience: Interactive Demos: Experience how deep observability can help eliminate blind spots, including lateral, East-West visibility, and save up to 80 percent in cloud operations costs with our experts sharing the latest solution features and best practices. One-on-One Expert Consultations: Book a personalized meeting with a Gigamon expert to discuss specific challenges, ask questions, and receive tailored advice on securing and managing hybrid cloud infrastructure. In-Booth Presentations: Attend our in-booth theater where the Gigamon team, technology alliance partners, and channel partners will share how to leverage the Gigamon Deep Observability Pipeline for East-West and container visibility, increased NDR effectiveness, TLS decryption, and more. Giveaways/Raffles: Enter daily raffles to have the chance to win one of several Apple Watches and a host of giveaways daily. Gigamon will also present a Content Corner session: ' Because 'It's the Network's Fault' Shouldn't Be Your Default Answer,' discussing how deep observability can empower application owners and security teams with the network-derived telemetry and insights they need to proactively secure and manage hybrid cloud infrastructure. This session will take place at the World of Solutions, Content Corner 1 on Wednesday, June 11, from 11:10 a.m. PT. 'AI will be a key focus at this year's Cisco Live, as organizations are re-evaluating the way their infrastructure and data connect for both security and efficiency,' said Michael Hakkert, vice president of corporate marketing at Gigamon. 'As one of the industry's largest networking conferences, Cisco Live brings together thousands of customers and partners to share best practices as together we work toward more secure and efficient networks. We look forward to sharing how the Gigamon Deep Observability Pipeline can support organizations as they secure and manage hybrid cloud infrastructure, enabling greater agility, resilience, and performance across a range of workloads, including those driven by AI.' To learn more, visit the Gigamon Cisco Live page, and to remain up to date on all Gigamon Cisco Live activities, visit the Gigamon booth, #2227, and follow #GigamonAtCiscoLive on X, LinkedIn, and Facebook. About Gigamon Gigamon ® offers a deep observability pipeline that efficiently delivers network-derived telemetry to cloud, security, and observability tools. This helps eliminate security blind spots and reduce tool costs, enabling you to better secure and manage your hybrid cloud infrastructure. Gigamon serves more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organizations. To learn more, please visit © 2025 Gigamon. All rights reserved. Gigamon and the Gigamon logo are trademarks of Gigamon in the United States and/or other countries. Gigamon trademarks can be found at All other trademarks are the property of their respective owners.
TECHx
23-05-2025
- Business
- TECHx
AI Threats Escalate in 2025 Cloud Security Report
Home » Emerging technologies » Cloud Computing » AI Threats Escalate in 2025 Cloud Security Report Gigamon, a leader in deep observability, has released its 2025 Hybrid Cloud Security Survey. The annual report revealed mounting pressure on hybrid cloud environments due to the growing influence of artificial intelligence (AI). The third edition of the survey gathered responses from over 1,000 global Security and IT leaders. Findings showed a sharp rise in cyberthreats, with breach rates reaching 55 percent. This marks a 17 percent year-over-year increase. Gigamon reported that AI-generated attacks are a key driver behind this surge. Security and IT teams are struggling to cope. According to the World Economic Forum, the global cost of cybercrime is now estimated at $3 trillion. The report revealed organizations face challenges like fragmented cloud systems, limited intelligence, and ineffective security tools. Gigamon's study highlighted several critical trends: 46% of leaders ranked AI-generated threats as their top priority. 58% reported an increase in AI-powered ransomware, up from 41% in 2024. 47% said attacks on large language model (LLM) deployments are rising. Additionally, 91 percent of leaders admitted to making trade-offs when securing their hybrid cloud infrastructure. The lack of clean, high-quality data and poor visibility into lateral network movement were key reasons. Public cloud security is now under scrutiny. Gigamon revealed that 70 percent of leaders view it as the most risky environment. As a result, many organizations are reconsidering their strategies. Around 70 percent are thinking of moving data back to private clouds. Moreover, 54 percent are hesitant to use AI in public cloud setups due to concerns about intellectual property. Visibility remains a key concern. The report found that 64 percent of organizations plan to prioritize real-time threat monitoring. However, 55 percent lack confidence in their current tools' ability to detect breaches. Deep observability is gaining ground. Gigamon announced that 89 percent of respondents see it as vital for managing hybrid cloud security. Executive boards are also taking notice, with 83 percent now discussing deep observability as a strategic issue. Mark Jow, EMEA technical evangelist at Gigamon, stated that deep observability helps eliminate visibility gaps and restore control. He explained that integrating network-derived telemetry with MELT data enhances situational awareness. Freshfields CISO Mark Walmsley supported this view. He emphasized that visibility into AI systems and data flows is crucial. According to Walmsley, deep observability enables early threat detection and risk mitigation. Gigamon concluded that deep observability is quickly becoming essential for securing AI deployments and protecting hybrid cloud environments.
Yahoo
21-05-2025
- Business
- Yahoo
Gigamon 2025 Survey: 91 Percent of Security Leaders Are Recalibrating Hybrid Cloud Risk in the AI Era
New research shows AI is driving cybersecurity compromises amid rising data volumes, LLM threats, and growing public cloud concerns SANTA CLARA, Calif., May 21, 2025--(BUSINESS WIRE)--Gigamon, a leader in deep observability, today released its 2025 Hybrid Cloud Security Survey, revealing that hybrid cloud infrastructure is under mounting strain from the growing influence of artificial intelligence (AI). The annual study, now in its third year, surveyed over 1,000 global Security and IT leaders across Australia, France, Germany, Singapore, the U.K., and the United States. As cyberthreats increase in both scale and sophistication, breach rates have surged to 55 percent during the past year, representing a 17 percent year-on-year (YoY) rise, with AI-generated attacks emerging as a key driver of this growth. Security and IT teams are being pushed to a breaking point, with the economic cost of cybercrime now estimated at $3 trillion worldwide according to the World Economic Forum. As AI-enabled adversaries grow more agile, organizations are challenged with ineffective and inefficient tools, fragmented cloud environments, and limited intelligence. Key Findings Highlight How AI Is Reshaping Hybrid Cloud Security Priorities AI's role in escalating network complexity and accelerating risk is evident. The study reveals that 46 percent of Security and IT leaders say managing AI-generated threats is now their top security priority. One in three organizations report that network data volumes have more than doubled in the past two years due to AI workloads, while nearly half of all respondents (47 percent) are seeing a rise in attacks targeting their organization's large language model (LLM) deployments. More than half (58 percent) say they've seen a surge in AI-powered ransomware—up from 41 percent in 2024 underscoring how adversaries are exploiting AI to outpace and outflank existing defenses. Compromises highlight continued trade-offs in foundational areas of hybrid cloud security. Nine out of ten (91 percent) Security and IT leaders concede to making compromises in securing and managing their hybrid cloud infrastructure. The key challenges that create these compromises include the lack of clean, high-quality data to support secure AI workload deployment (46 percent) and lack of comprehensive insight and visibility across their environments, including lateral movement in East-West traffic (47 percent). Public cloud risks prompt industry recalibration. Once considered an acceptable risk in the rush to scale post-COVID operations, the public cloud is now coming under increasingly intense scrutiny. Many organizations are rethinking their cloud strategies in the face of their growing exposure, with 70 percent of Security and IT leaders now viewing the public cloud as a greater risk than any other environment. As a result, 70 percent report their organization is actively considering repatriating data from public to private cloud due to security concerns and 54 percent are reluctant to use AI in public cloud environments, citing fears around intellectual property protection. Visibility is top of mind for Security leaders. As cyberattacks become more sophisticated, the limitations of existing security tools are coming sharply into focus. Organizations are shifting their priorities toward gaining complete visibility into their environments, a capability now seen as crucial for effective threat detection and response. More than half (55 percent) of respondents lack confidence in their current tools' ability to detect breaches, citing limited visibility as the core issue. As a result, 64 percent say their number one focus for the next 12 months is achieving real-time threat monitoring delivered through having complete visibility into all data in motion. Deep Observability Becomes the New Standard With AI driving unprecedented traffic volumes, risk, and complexity, nearly nine in 10 (89 percent) Security and IT leaders cite deep observability as fundamental to securing and managing hybrid cloud infrastructure. Executive leadership is taking notice, as boards increasingly prioritize complete visibility into all data in motion, with 83 percent confirming that deep observability is now being discussed at the board level to better protect hybrid cloud environments. "This year's survey signals a profound shift in risk management priorities, and the time has come to recalibrate how hybrid cloud infrastructure is secured and managed in the AI era," said Chaim Mazal, chief security officer at Gigamon. "Deep observability provides that recalibration by combining traditional log data with network-derived telemetry, giving security teams the clarity to see through encrypted traffic, detect AI-powered threats, and strengthen defenses before the blast radius expands. With 88 percent of Security and IT leaders recognizing its importance for securing AI deployments, this approach has become foundational to modern cybersecurity." "With nearly half of organizations saying attackers are already targeting their large language models, AI security can't be an afterthought, it needs to be a top priority," said Mark Walmsley, CISO at Freshfields. "The key to staying ahead? Visibility. When we can clearly see what's happening across AI systems and data flows, we can cut through the noise and manage risk more effectively. Deep observability helps us spot vulnerabilities early and put the right protections in place before issues arise." About the survey The 2025 Hybrid Cloud Security Survey was commissioned by Gigamon and fielded in collaboration with Vitreous World. The data is based on findings of an online survey of 1,021 global respondents Feb. 21- Mar. 7, 2025. For more information Download the "2025 Hybrid Cloud Security Report: Evolving Hybrid Cloud Security in the Age of AI," and "CISO Insights: Recalibrating Risk in the Age of AI," reports here Read more about the survey results in the blog, "The CISO's Strategy for Staying Ahead in the Age of AI" About Gigamon Gigamon® offers a deep observability pipeline that efficiently delivers network-derived telemetry to cloud, security, and observability tools. This helps eliminate security blind spots and reduce tool costs, enabling you to better secure and manage your hybrid cloud infrastructure. Gigamon serves more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organisations worldwide. To learn more, please visit © 2025 Gigamon. All rights reserved. Gigamon and the Gigamon logo are trademarks of Gigamon in the United States and/or other countries. Gigamon trademarks can be found at All other trademarks are the property of their respective owners. View source version on Contacts Gigamon Media Contact: Error 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
