Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Imagine a world where you can easily protect your company’s important data while ensuring compliance with strict security guidelines. ISO 27001:2022 promises just that. Because data breaches are becoming more expensive and cyber threats are growing, companies need to strengthen their security posture. Just in 2024, the average cost of a single data breach reached an astonishing $4.88 million. ISO 27001:2022 offers a proven framework to safeguard your organization’s information assets.

You don’t control most of the code in your software. Unfortunately, that’s the reality of today. Open-source libraries, third-party components, and vendor integrations make up the bulk of most modern applications because they save time and resources, allowing you to build on existing frameworks rather than reinvent the wheel. But with every supply chain component, you’re opening a potential doorway for attackers to exploit.

Large language models (LLMs) are transforming how we work and are quickly becoming a core part of how businesses operate. But as these powerful models become more embedded, they also become prime targets for cybercriminals. The risk of exploitation is growing by the day. More than 67% of organizations have already incorporated LLMs into their operations in some way – and over half of all data engineers are planning to deploy an LLM to production within the next year.

There’s an age-old saying you can tell an engineer’s age by their preferred CI/CD (continuous integration and continuous delivery) tool. Depending on who you talk to, the battle-tested Jenkins remains their weapon of choice, while GitHub Actions is the new kid on the block turning heads. However, here’s something that might surprise you – about half of all developers spend less than 20 hours per week on actual software development tasks.

In February 2024, Change Healthcare, one of the biggest IT solution companies in the U.S. healthcare system, suffered from a ransomware attack resulting in a complete shutdown of their IT system. Because of this attack, hospitals and pharmacies experienced interruptions in patient treatments, as well as in payments for several weeks. This is a nightmare for any software developer, security engineer or a company.

Have you ever built software without encountering a single vulnerability? Unlikely. Vulnerabilities are an unavoidable fact of DevSecOps life, and the stakes are higher than before. Cybercrime expenditures are expected to exceed $9.5 trillion globally. Cyber risk quantification has become the need of the hour, not just for security teams and executives but also for developers.

Logs tell the hidden story of your IT infrastructure – what’s working, what’s breaking, and what could be under attack. You’re left sifting through a chaotic stream of events, risking missed insights crucial for maintaining security and operational stability. And the stakes couldn’t be higher. The average global data breach cost hit $4.45 million, with U.S. companies facing an even steeper $9.48 million per incident.

Are you caught in a Yarn versus NPM debate? It is not only because of personal choice – the selection can alter the course of your development. Yarn and NPM are the most common tools for managing virtual dependencies in the JavaScript ecosystem. However, it is important to point out that each has its own set of strengths and trade-offs.

AI code generators are revolutionizing the way developers write and maintain code. These advanced tools leverage machine learning (ML) and natural language processing (NLP) to significantly boost productivity, improve code quality, and enhance security. However, they can sometimes introduce subtle vulnerabilities if not carefully monitored. With generative AI, software developers can complete coding tasks up to x2 faster.

Ever wonder what lurks in your code that static analysis can’t find? That’s where Dynamic Code Analysis (DCA) comes into play. Unlike static analysis, which inspects code without running it, DCA examines software during execution. For developers, DCA is invaluable because it provides real-time insights into how your code operates under actual conditions.