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How to avoid overconfidence in AI-readiness

We've seen this story play out before: a shiny new tech trend pops up, and suddenly, everyone's clamoring to jump on the bandwagon. It happens to consumers, and it happens in business. AI is no different. Snyk's Secure Adoption in the GenAI Era report surveyed tech professionals across roles-from executives to developers-and found that while many feel their companies are ready for AI coding tools, they're also worried about the security risks these tools might bring.

AI in Observability: Mapping Root Causes with Precision

Explore how AI is transforming observability by mapping system connections and uncovering root causes with precision. The Logz.io AI Agent analyzes logs, metrics, and service dependencies to provide actionable insights without the need to sift through overwhelming amounts of data.

How AI Is Transforming Brazilian Schools and Universities

Technologies have evolved exponentially over the last few years, and education is an area that has gained innovative tools as allies. One of the most innovative technologies today is artificial intelligence, capable of providing personalized answers and content in a few seconds, in addition to offering support for carrying out various tasks that previously could only be done by humans.

Navigating 2025 with Key Cybersecurity Trends and FERPA Compliance Software

As we move further into 2025, the cybersecurity landscape is rapidly changing, presenting both challenges and opportunities. Keeping abreast of these trends is crucial for businesses and educational institutions alike to safeguard sensitive data. A proactive approach to understanding these shifts can significantly enhance your security posture.

Can nuclear energy solve AI's growing energy crisis?

Big tech companies are betting big on nuclear energy to keep their data centers running. With AI driving up energy use worldwide, it makes you wonder—could nuclear energy be the key to tackling the climate crisis caused by AI? Companies like Google and Microsoft have set ambitious sustainability goals by promising to move to 100% renewable energy before 2030. However, generative AI has made their goals difficult by increasing their electricity consumption multifold.

MLOps Your Way with the JFrog Platform

Just like in traditional software development, creating AI applications isn’t a one size fits all approach. However, many of the challenges and concerns facing AI/ML development teams share common threads – difficulties getting models to production, tangled infrastructure, data quality, security issues, and so on.

Accelerate incident triage with AI-Powered Event Management

IT Operations teams must detect and address incidents quickly to ensure efficient operations and reliable IT infrastructures. As organizations grow and scale their service offerings, their IT environments inevitably become more complex. Filtering through alerts becomes increasingly challenging due to excessive noise and a lack of end-to-end visibility. As a result, IT operations teams are forced to escalate issues more frequently.

Developers are Troubleshooting Directly in Slack and Teams with AI

“I asked Lumigo Copilot to provide context about issues from my phone. It saved me triaging time and also helped me understand who the relevant developer is to handle the alert, which keeps me from wasting someone else’s time” – Lior Mechlovich, CTO & Co-Founder, Salespeak. This quote from one of our beta users captures the power of Lumigo Copilot in Slack. Troubleshooting doesn’t have to be tedious.