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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 Eyal Katz
Containers have quietly become indispensable in the modern application deployment stack, revolutionizing how we build, ship, and run applications. However, with their widespread adoption comes a pressing concern. According to the 2024 State of Kubernetes Security Report, 45% of respondents experienced a runtime security incident in the last 12 months. This raises a few questions: What exactly is container runtime security?
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By Eyal Katz
Imagine slashing the time spent on code reviews while catching more bugs and vulnerabilities than ever before. That’s the promise of AI-driven code review tools. With 42% of large and enterprise organizations already integrating AI into their IT operations , the future of software development is here. These tools can swiftly detect syntax errors, enforce coding standards, and identify security threats, making them invaluable to development teams. However, as powerful as AI is, it has its pitfalls.
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By Eyal Katz
As organizations push the boundaries of innovation, the need to embed security into every layer of the development process has never been more pressing. DevSecOps—a practice that integrates security directly into the DevOps pipeline—has emerged as a critical approach to staying ahead of potential threats. Yet, the challenge is knowing how to weave security seamlessly into these complex, fast-moving environments.
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By Eyal Katz
Python dominates the coding world, powering everything from web apps to AI breakthroughs. It’s so popular that 70% of developers have Python in their toolkit. It’s no wonder it consistently ranks among the top languages year after year. But with great power comes great responsibility…to write bug-free code. That’s where the secret weapon of top Python pros comes in: Static Code Analysis (SCA).
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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.
Leverage SpectralOps’ advanced AI backed technology with over 2000 detectors to discover and classify your data silos and uncover data breaches before they happen. Get real-time slack alerts, workflow with JIRA tickets or your choice of notification on data breaches in real time and empower your teams to take immediate action.
Security for all stacks and assets:
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