Check Point® Software Technologies Ltd.(link is external) announced major advancements to its family of Quantum Force Security Gateways(link is external).
Application Program Interfaces (API’s) represent an effective way to build and manage mobile services. By using APIs — a set of routines, protocols and tools for building software applications — application developers no longer have to buy technology software or hardware. Instead, they can simply plug into a growing open ecosystem of API-driven services. It is simple to integrate, and saves time and money for new developers.
There are countless mobile API-based services. From authentication, ads and payment APIs to price comparison and reporting API based services. The availability of these APIs made mobile app development much simpler, but this simplicity comes with a price.
Unlike images, game assets, videos and other type of static content, APIs are dynamic in nature and their content cannot be cached at the edge of the internet to increase download speed. Often times the result of an API call is customized per user profile, its location and the activity he/she is trying to accomplish. A user searching for a Mexican restaurant in downtown San Francisco will get a unique (non cacheable) search result.
There are three main challenges with existing API configurations that directly impact any mobile app performance:
Response Time
Since API responses are usually personalized, its content cannot be cached by the CDN. Some of the responses could be sizeable and include dozens of images that will have to be downloaded on a slow mobile connection. This impacts the API response time and eventually the mobile app.
Reliability
Mobile networks are less reliable than wired networks with Packet Loss and error rates that are 10-20 times higher. This affects not only the app API response time but most importantly its failure rates. Mobile developers have to factor into their code fail conditions and a proper way to handle each one of them, which can complicate things.
Server Load
There are two sources for high server load: (A) Failed transactions due to network error will usually follow by API call retry, keeping the server busier than it should be; and (B) API calls over slow connections means that the server has to keep connections open longer, consuming more resources than needed.
How could mobile developers mitigate the risk when using APIs?
While caching is not possible, one could accelerate an API call using a few techniques:
■ Protocol Optimization: By avoiding slow starts, backoffs and other TCP hiccups, downloading a sizeable API response could become faster. Traditional CDNs offer such an optimization in the middle mile for a premium price.
■ Routing Optimization: Speeding up access to the origin server API can be achieved through better routing of the request/response in the first and middle miles. Traditional CDNs can offer this for a premium price.
■ Persistent Connections: To avoid the “TCP handshake” overhead one could keep the connection open/warm and save a few round trips for each new request. This technique should be used carefully since overusing it will once again increase server load.
Unfortunately, since all the above techniques take place in a wired network (as opposed to the wireless link) the performance impact is marginally low while the cost (to various vendors) is not.
Most importantly, none of these techniques can be technically integrated with 3rd party APIs, unless the vendor operating the service is cooperating.
Industry News
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CIQ announced the creation of its Open Source Program Office (OSPO).
Check Point® Software Technologies Ltd.(link is external) announced the launch of its next generation Quantum(link is external) Smart-1 Management Appliances, delivering 2X increase in managed gateways and up to 70% higher log rate, with AI-powered security tools designed to meet the demands of hybrid enterprises.
Salesforce and Informatica have entered into an agreement for Salesforce to acquire Informatica.
Red Hat and Google Cloud announced an expanded collaboration to advance AI for enterprise applications by uniting Red Hat’s open source technologies with Google Cloud’s purpose-built infrastructure and Google’s family of open models, Gemma.
Mirantis announced Mirantis k0rdent Enterprise and Mirantis k0rdent Virtualization, unifying infrastructure for AI, containerized, and VM-based workloads through a Kubernetes-native model, streamlining operations for high-performance AI pipelines, modern microservices, and legacy applications alike.
Snyk launched the Snyk AI Trust Platform, an AI-native agentic platform specifically built to secure and govern software development in the AI Era.
Bit Cloud announced the general availability of Hope AI, its new AI-powered development agent that enables professional developers and organizations to build, share, deploy, and maintain complex applications using natural language prompts, specifications and design files.
AI-fueled attacks and hyperconnected IT environments have made threat exposure one of the most urgent cybersecurity challenges facing enterprises today. In response, Check Point® Software Technologies Ltd.(link is external) announced a definitive agreement to acquire Veriti Cybersecurity, the first fully automated, multi-vendor pre-emptive threat exposure and mitigation platform.
LambdaTest announced the launch of its Automation MCP Server, a solution designed to simplify and accelerate the process of triaging test failures.
DefectDojo announced the launch of their next-gen Security Operations Center (SOC) capabilities for DefectDojo Pro, which provides both SOC and AppSec professionals a unified platform for noise reduction and prioritization of SOC alerts and AppSec findings.
Check Point® Software Technologies Ltd.(link is external) has been recognized on Newsweek’s 2025 list of America’s Best Cybersecurity Companies(link is external).
Red Hat announced enhanced features to manage Red Hat Enterprise Linux.