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Akamai Enhances Cloud Delivery Platform

Akamai Technologies announced significant enhancements that are designed to improve website, app, and network security without compromising the performance of digital applications.

With these additions, Akamai’s cloud delivery platform is architected to serve as a crucial foundation for digital business, with security and agile deployment capabilities supporting digital transformation, next-generation network architectures, and increasingly popular DevOps workflows.

- Security: New enhancements to the Akamai platform are designed to manage the growing challenge posed by bots and mitigate the threats posed by credential abuse. Akamai Bot Manager has added capabilities to protect apps and APIs, including a client SDK for mobile applications. For larger botnets that threaten to overwhelm organizations’ apps and infrastructure through volumetric DDoS attacks, Akamai is deploying additional capacity to its scrubbing centers to mitigate the ever-growing volume of DDoS attacks that have been threatening digital businesses. Akamai offers secure browsing and support for HTTPS everywhere with TLS 1.3 and unparalleled visibility into evolving threats and threat actors via enhanced security analytics.

- Zero Trust: As the traditional corporate security perimeter dissolves and enterprise applications move to the cloud, secure unified access and single sign-on have become an imperative. Akamai’s Enterprise Application Access is designed to enable IT and security teams to move towards a Zero Trust security architecture, while simplifying secure access and reducing the attack surface associated with cloud migration, the dissolving corporate perimeter, and an increasingly mobile workforce.
Fast, secure web and mobile experiences

- Performance Management: Akamai’s newly-deployed features have enhanced its platform’s ability to monitor, optimize, and validate application performance with the addition of perceived performance, page construction, and application delivery metrics to its mPulse real user monitoring solution. Once issues are identified, features inherent to several solutions are designed to ensure the integrity of application engagement and experience, including: the script management and resource optimization features of the Ion acceleration solution, digital asset optimization capabilities and support for the Brotli compression algorithm, Image Manager optimization, and network optimization capabilities in an enhanced mobile application performance SDK.

- DevSecOps: Additional new platform features address the need for infusing security into DevOps, as more enterprises work to find that balance between accelerated development cycles and the mindset that “security is everybody's responsibility.” Akamai has added support for scripting to automate application security using its flagship web application firewall, Kona Site Defender, as well as improved management and versioning support for API protection. In addition, the Akamai API Gateway provides an integrated solution architected to accelerate, secure, and manage APIs, including the ability to expose, authenticate, and manage access to APIs to maximize revenue and prevent misuse and abuse.

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Akamai Enhances Cloud Delivery Platform

Akamai Technologies announced significant enhancements that are designed to improve website, app, and network security without compromising the performance of digital applications.

With these additions, Akamai’s cloud delivery platform is architected to serve as a crucial foundation for digital business, with security and agile deployment capabilities supporting digital transformation, next-generation network architectures, and increasingly popular DevOps workflows.

- Security: New enhancements to the Akamai platform are designed to manage the growing challenge posed by bots and mitigate the threats posed by credential abuse. Akamai Bot Manager has added capabilities to protect apps and APIs, including a client SDK for mobile applications. For larger botnets that threaten to overwhelm organizations’ apps and infrastructure through volumetric DDoS attacks, Akamai is deploying additional capacity to its scrubbing centers to mitigate the ever-growing volume of DDoS attacks that have been threatening digital businesses. Akamai offers secure browsing and support for HTTPS everywhere with TLS 1.3 and unparalleled visibility into evolving threats and threat actors via enhanced security analytics.

- Zero Trust: As the traditional corporate security perimeter dissolves and enterprise applications move to the cloud, secure unified access and single sign-on have become an imperative. Akamai’s Enterprise Application Access is designed to enable IT and security teams to move towards a Zero Trust security architecture, while simplifying secure access and reducing the attack surface associated with cloud migration, the dissolving corporate perimeter, and an increasingly mobile workforce.
Fast, secure web and mobile experiences

- Performance Management: Akamai’s newly-deployed features have enhanced its platform’s ability to monitor, optimize, and validate application performance with the addition of perceived performance, page construction, and application delivery metrics to its mPulse real user monitoring solution. Once issues are identified, features inherent to several solutions are designed to ensure the integrity of application engagement and experience, including: the script management and resource optimization features of the Ion acceleration solution, digital asset optimization capabilities and support for the Brotli compression algorithm, Image Manager optimization, and network optimization capabilities in an enhanced mobile application performance SDK.

- DevSecOps: Additional new platform features address the need for infusing security into DevOps, as more enterprises work to find that balance between accelerated development cycles and the mindset that “security is everybody's responsibility.” Akamai has added support for scripting to automate application security using its flagship web application firewall, Kona Site Defender, as well as improved management and versioning support for API protection. In addition, the Akamai API Gateway provides an integrated solution architected to accelerate, secure, and manage APIs, including the ability to expose, authenticate, and manage access to APIs to maximize revenue and prevent misuse and abuse.

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...