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Cloudbrink Named a Leader and Fast Mover in GigaOm Radar for Zero-Trust Network Access (ZTNA)

Prominent Positioning in Industry Report Follows Numerous Award Wins for Cloudbrink Innovation

Cloudbrink announced that respected industry analyst firm GigaOm has positioned Cloudbrink Personal SASE as a Leader and Fast Mover in the Innovation/Platform Play quadrant of the ZTNA Radar chart

According to the report, “Cloudbrink excels in supporting distributed workforces with latency-sensitive applications through its unique acceleration capabilities that enhance performance while maintaining security.”

“Cloudbrink’s location so close to the center in the GigaOm Radar is a testimony to the work we’ve put in listening to customers and translating their needs into our solution,” said Prakash Mana, CEO of Cloudbrink. “We’re energized by the reception the product has gotten in awards, analyst reports, and above all, by our customers. ZTNA needs to take into account network demands as well as user performance requirements. We will continue to innovate to be at the forefront of its evolution.”

Cloudbrink scored well on a number of decision criteria in the GigaOm report, including “exceptional” ratings for Session Monitoring, and Unmanaged Device Support, and “superior” for Legacy Application Support.

In the Business Criteria section, Cloudbrink was top ranked, tied for the highest score. The report rated Cloudbrink “exceptional” for both cost and ease of use, and said, “As a 100% cloud-native SaaS solution, Cloudbrink enables rapid onboarding in minutes through its web-based management portal, with horizontal scaling capabilities to maintain performance as an organization grows. The solution demonstrates flexibility by supporting all popular use cases while delivering insights beyond typical offerings through additional high-fidelity telemetry, making it particularly suitable for latency-sensitive applications where other ZTNA solutions may struggle.”

The report also praised Cloudbrink’s support for distributed offices across the globe. The report states, “International organizations benefit from CloudBrink's comprehensive unmanaged device support that applies zero-trust controls while enabling secure access from various endpoints. Manufacturing industries appreciate the solution's protocol-agnostic approach to legacy application support that maintains performance optimization regardless of application age. The extensive session monitoring provides organizations with detailed visibility into user experience metrics, connection quality, and application performance, making it valuable for businesses requiring both security and optimal application delivery across global operations.”

The GigaOm Radar report examined 28 ZTNA solutions and compared offerings against the capabilities (table stakes, key features, and emerging features) and nonfunctional requirements (business criteria).

Consistent Accolades for Cloudbrink Innovation

Cloudbrink’s prominent position in the GigaOm Radar for ZTNA comes on the heels of several awards the company has recently received. In April Cloudbrink was awarded Most Innovative Secure Remote Access in the Cyber Defense Awards, at the RSA conference. Cloudbrink was also named Remote Work Tech Innovation of the Year in the RemoteTech Breakthrough Awards in June. Both awards selected Cloudbrink from thousands of nominations. 

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Cloudbrink Named a Leader and Fast Mover in GigaOm Radar for Zero-Trust Network Access (ZTNA)

Prominent Positioning in Industry Report Follows Numerous Award Wins for Cloudbrink Innovation

Cloudbrink announced that respected industry analyst firm GigaOm has positioned Cloudbrink Personal SASE as a Leader and Fast Mover in the Innovation/Platform Play quadrant of the ZTNA Radar chart

According to the report, “Cloudbrink excels in supporting distributed workforces with latency-sensitive applications through its unique acceleration capabilities that enhance performance while maintaining security.”

“Cloudbrink’s location so close to the center in the GigaOm Radar is a testimony to the work we’ve put in listening to customers and translating their needs into our solution,” said Prakash Mana, CEO of Cloudbrink. “We’re energized by the reception the product has gotten in awards, analyst reports, and above all, by our customers. ZTNA needs to take into account network demands as well as user performance requirements. We will continue to innovate to be at the forefront of its evolution.”

Cloudbrink scored well on a number of decision criteria in the GigaOm report, including “exceptional” ratings for Session Monitoring, and Unmanaged Device Support, and “superior” for Legacy Application Support.

In the Business Criteria section, Cloudbrink was top ranked, tied for the highest score. The report rated Cloudbrink “exceptional” for both cost and ease of use, and said, “As a 100% cloud-native SaaS solution, Cloudbrink enables rapid onboarding in minutes through its web-based management portal, with horizontal scaling capabilities to maintain performance as an organization grows. The solution demonstrates flexibility by supporting all popular use cases while delivering insights beyond typical offerings through additional high-fidelity telemetry, making it particularly suitable for latency-sensitive applications where other ZTNA solutions may struggle.”

The report also praised Cloudbrink’s support for distributed offices across the globe. The report states, “International organizations benefit from CloudBrink's comprehensive unmanaged device support that applies zero-trust controls while enabling secure access from various endpoints. Manufacturing industries appreciate the solution's protocol-agnostic approach to legacy application support that maintains performance optimization regardless of application age. The extensive session monitoring provides organizations with detailed visibility into user experience metrics, connection quality, and application performance, making it valuable for businesses requiring both security and optimal application delivery across global operations.”

The GigaOm Radar report examined 28 ZTNA solutions and compared offerings against the capabilities (table stakes, key features, and emerging features) and nonfunctional requirements (business criteria).

Consistent Accolades for Cloudbrink Innovation

Cloudbrink’s prominent position in the GigaOm Radar for ZTNA comes on the heels of several awards the company has recently received. In April Cloudbrink was awarded Most Innovative Secure Remote Access in the Cyber Defense Awards, at the RSA conference. Cloudbrink was also named Remote Work Tech Innovation of the Year in the RemoteTech Breakthrough Awards in June. Both awards selected Cloudbrink from thousands of nominations. 

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...