What software developers need to know about cybersecurity
Security should be a core competency of every developer. Follow these 10 steps to bring…
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7 application security startups at RSAC 2025
From AI-driven security design reviews to workflow analysis, dependency graphing, and runtime detection and response,…
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Bringing DevOps, DevSecOps, and MLOps together
It’s time to bridge the technical gaps and cultural divides between DevOps, DevSecOps, and MLOps…
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Apiiro launches AI-powered risk analysis map for software
Software Graph Visualization offers real-time visualization of software architectures across all components, vulnerabilities, and changes,…
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Puppet devsecops updated to deal with security maladies
As AI powers more threats, Perforce's release improves collaboration between operations and security teams. Credit:…
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JFrog unveils JFrog ML for MLOps
JFrog ML brings devops best practices to building, deploying, managing, and monitoring AI/ML workflows, JFrog…
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Key strategies for MLops success in 2025
To unlock the full potential of AI and machine learning, understand the keys to model…
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Learning AI governance lessons from SaaS and Web2
The governance journeys of SaaS and Web2 tell us that today’s ad hoc AI governance…
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Stratoshark analyzes cloud applications at a syscall level
Capture and analyze the system call and log activity of your cloud-based Linux containers using…
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Tetragon: Extending eBPF and Cilium to runtime security
Cilium subproject taps eBPF hooks into the Linux kernel to bring real-time security observability and…
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