The marriage between AI and API security seems like an odd pairing at first. Dubbed a threat to API security, generative AI applications can be easily customized to create and run multiple scenarios to expose weaknesses in APIs. Moreover, given the right datasets, hackers can train AI to plan and execute attacks that evade traditional API security solutions. However, those qualities make artificial intelligence and machine learning the technology that may be missing in your API security stack ...
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In the battle to secure APIs, many organizations are losing. The reason being that many organizations don't know the extent of API risk. From complacency in creating comprehensive security risk profiles for APIs, failing to pinpoint API endpoints managing sensitive data without adequate authentication, and deferring finding a consensus on who should own the responsibility of API security, organizations are coming up short ...
In general, we developers recognize the importance and utility of using diagrams to design systems and document our code. Diagrams help turn black boxes into glass ones. They can help us describe how systems talk to each other, communicate how systems operate internally, identify areas where our models can be simplified, and so on. The process of actually making those diagrams, however, is another story ...
While most may be scared of goblins and ghouls this Halloween, the real threat to enterprise organizations this spooky season are zombie APIs. Though it may be Halloween, developer and security teams are spooked year round by these undetected threats. According to a recent report, approximately 92% of organizations have been impacted by at least one API security-related incident in the past 12 months, while 57% reported experiencing multiple API security incidents in the same time frame ...
Companies relying on open-source libraries introduce risks to their end-users, so they're on the hook for thoroughly auditing all software. The internal security principles guiding the auditing process are often called open-source governance. However critical, open-source governance principles can hinder vital development metrics like deployment time. Navigating the balance between organizational imperatives and risk management is thus an ever-more essential — and challenging — aspect of a developer's daily life ...
The popularity of generative AI technology has skyrocketed in 2023, and that trend is likely to continue ... To gain insights into user experiences with generative AI services, my organization, Applause, surveyed more than 3,000 digital quality testing professionals across the globe. Here's what our survey uncovered ...
Platform engineering is the newest player on the scene. Whereas DevOps is a discipline defined by processes (that have been incrementally automated) to nurture communication and collaboration, platform engineering is a finite organization that is very task driven ...
Many experts believe the heyday of DevOps is coming to an end ... So, is it time to retire DevOps entirely? Only time will tell. But I staunchly believe it's misguided to count DevOps out just yet. Instead, practitioners should expect DevOps to do what DevOps does best: develop and grow with the market ...
With the rapid increase in API usage also comes an increase in malicious actors targeting APIs as a gateway to customer and company data. That's why ensuring that your API integrations are safe is no longer simply a technical requirement, it is a responsibility that developers and organizations cannot take lightly. Here are three ways to ensure that your next API integration doesn't leave you, or your users, vulnerable ...
Despite the push for digital transformation, a recent study found that many are experiencing challenges maintaining quality when building, deploying, and operating their applications, with testing reported as the primary bottleneck to delivering apps ...
Total visibility is a major factor in remaining secure and compliant while optimizing the results of your DevOps products. Let's look a little deeper into how visibility impacts your DevOps environment ...
The current world of software relies heavily on recycled code, much of which is lifted from open-source repositories. No matter how tightly you integrate security into your development cycles, if the open-source code you borrowed is vulnerable, so are you. Even if you were to somehow achieve the unrealistic goal of "zero vulnerabilities in production," there's no guarantee that this will actually make your business secure ...
A long-running study of DevOps practices ... suggests that any historical gains in MTTR reduction have now plateaued. For years now, the time it takes to restore services has stayed about the same: less than a day for high performers but up to a week for middle-tier teams and up to a month for laggards. The fact that progress is flat despite big investments in people, tools and automation is a cause for concern ...
Updates to the software we use daily are so smooth we rarely even notice them. This is thanks to continuous integration and continuous development (CI/CD), which have streamlined software delivery through frequent and consistent code changes. We now look to continuous merge to keep perfecting the software delivery lifecycle beyond what CI/CD has made possible ...
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