A new Enterprise Strategy Group (ESG) report found that 93% of respondents think their mobile app security protections are sufficient. However, these same respondents report that they face an average of 9 mobile app security incidents per year, with a staggering 62% having suffered a mobile app breach in the last year alone. What this implies is that there is a gap between what developers believe is good security and what proper security measures actually are ...
Vendor Forum
Organizations across the globe face unprecedented cybersecurity challenges as their digital footprints expand across cloud, on-premises, and remote environments. Ransomware continues to surge as one of the top global cyber threats, with attacks increasing by 33% globally in 2024 and organizations experiencing an average of 1,200 weekly attacks — the highest in three years ...
Traditional QA, while foundational to software engineering, is reaching its limits ... What worked yesterday is increasingly not going to work today, and tomorrow's risks cannot be addressed using yesterday's checklists. This is where agentic QA steps in, heralding a transformative approach that integrates autonomous, intelligent agents throughout the entire software lifecycle ...
AI investment is growing 52% year-over-year, yet progress is bumpy given data challenges and a skills gap that is holding businesses back. While developers are excited about the next model release, the reality is 99% of enterprises face AI project disruptions that are often not related to model choices that organizations often stress over. AI innovation hype is outpacing enterprise readiness, leaving developers with a tough choice: move fast on AI and risk failure, or move cautiously and watch competitors pull ahead. But what if there's a third option — one that requires no compromise? ...
The use of artificial intelligence brings high hopes and expectations in the technological world, promising changes to the way businesses operate. A staggering 79% of companies are now or will be using AI within the next year according to an August 2025 survey from OpenText and the Ponemon Institute ... However, there are some unexpected challenges ...
AI-powered software innovation is generating annual savings of $28,249 per developer, according to GitLab's 2025 executive research report, which surveyed thousands of C-level executives from around the world. When implemented across the world's 27 million developers, AI's potential translates to more than $750 billion in global value annually ...
Everybody's talking about AI replacing developers ... After years of building AI-powered development tools and watching how professional teams actually use them, I'm convinced the "AI is killing developer jobs" narrative is overstated. The real shift is more nuanced: fewer junior roles over time, but dramatically increased demand for experienced engineers who can work effectively with AI ...
Widespread enterprise adoption has cemented artificial intelligence as an integral part of software design, development, and delivery. Relatively new to the scene, agentic AI is poised to double down on the speed and agility of simpler applications of AI, positioning it as a powerful business enabler. Recent research conducted by OutSystems revealed a clear trend: AI agents are maturing from experimental tools to central players in software development and business operations ...
Not long ago, "security" meant building walls — firewalls, intrusion detection, access control lists. While those tools aren't dead, they're not enough. Cloud-native systems don't care about your perimeter, and one misconfigured API or overly generous IAM role is all it takes. The rules have changed, and if your security game hasn't, you're already behind ...
While modern cybercriminals can deploy AI-powered attacks that breach systems in seconds, most organizations still require 258 days to detect these intrusions. This dramatic mismatch in speed creates more than just tactical challenges. It can threaten organizations' survival ...
The promises AI is making for DevOps (faster coding, faster debugging, faster reviews) is appealing. But in practice, that speed does not automatically translate into faster delivery or impact. AI often generates more tasks than it resolves: refactors, bug reports, and code suggestions can appear asynchronously from multiple tools, creating floods of new work ...
In software development as in any aspect of business, time is money. Shortening development time to bring new applications to market is the goal of all commercial developers. Similarly, streamlining the development of custom software to optimize business processes can mean big savings. That's why more organizations are turning to coding shortcuts like artificial intelligence (AI) to slash development time ...
Most people don't realize just how much of the world still relies on software written decades ago. Banks, hospitals and government agencies rely on systems that were built long before cloud, mobile or AI even existed. That reliance is costing organizations billions each year, not to move forward, but to keep the old code alive ...
DevOps and security teams have long understood the challenge of insider threats. These threats typically involve employees, contractors, or partners with legitimate access whose actions compromise system integrity. It's time to expand this definition now that a new insider has appeared ...
When was the last time you actually looked at the API calls in your codebase? Not the ones you wrote yourself, but the ones quietly generated by your AI assistant. Do you know where they point? Are they hitting a test server? Did they skip authentication? Are they leaking something in error responses? You start asking these questions after something goes wrong (and no one knows why) ... The thing is, generative AI (GenAI) is excellent at speeding up how we write code, but it could become a major concern if not thoroughly checked ...




