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
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...