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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
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.
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By Eyal Katz
Imagine you’re all prepared to roll out your latest feature, and suddenly, right before launch, you discover a security vulnerability concealed in your code. Depending on the severity, developers can spend anywhere from 7 hours to days or even months finding and fixing these vulnerabilities. A critical vulnerability could set your release back by weeks, while a simple fix might take a day.
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By Eyal Katz
We’ve all been there—staring at code, hoping no hidden traps are waiting to cause chaos down the line. That’s where secure code reviews come in. Think of them as your last chance to catch those pesky bugs and vulnerabilities before they wreak havoc. And here’s a little reality check—those cutting-edge LLMs? They suggest insecure code 30% of the time. So, even with AI on our side, we still need to stay sharp.
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By Spectral
For developers, secret and credential leakage is a problem as old as public-facing repositories. Unfortunately, in 2021 it is officially a significant risk. One that is easy to ignore until it is too late. In a rush to deliver, developers will often hard-code credentials in code or neglect to review code for exposed secrets. The results can be embarrassing, at best - but devastatingly costly in other cases.
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By Spectral
The cloud has come a long way from Eric Schmidt's "modern" coining of the phrase in 2006. Today, companies and institutions are reliant upon a cloud infrastructure to run their day-to-day operations. This reliance and growth have also transformed the threat landscape and your cybersecurity requirements along with it. Though cloud service providers are working ceaselessly to shore up vulnerabilities and bolster defenses, the responsibility for your cloud assets does not solely lie with them. Estimates predict that by 2025, 99% of cloud failures will be caused by the customer.
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By Spectral
Consuming secrets is a cornerstone for connectivity between applications and infrastructure. Whether it be cloud identity-based secrets such as IAM role keys from AWS, or FTP accessibility credentials - secrets such as these are often discovered by malicious users. The common culprit is usually in a public space such as public repositories on GitHub. While it's easy to think "that will never happen to us", it only takes one misplaced key pushed to the wrong repository for your entire infrastructure, application, and databases to be compromised and exposed.
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By Spectral
Imagine you are in charge of maintaining data for some of the most secretive government offices and powerful business entities globally. You have a significant investment in your security apparatuses protecting that knowledge. For years you haven't had a single blip or incident to cause any suspicion. Then the unthinkable happens, and from a single weak point, your entire network is compromised by malicious code hidden in an innocuous update.
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Monitor, classify, and protect your code, assets, and infrastructure for exposed API keys, tokens, credentials, and high-risk security misconfigurations in a simple way, without noise.
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