Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Reimagining Trust in Software Releases: A New Approach to Supply Chain Integrity (Part 1)

Only secure, verified, compliant software should reach production. Full stop. With increasing pressure on modern development teams to deliver across security and compliance requirements, a fully-secured, attestable pipeline demands complete visibility and control across the entire release lifecycle in a single solution.

LLM Security in 2025: Risks, Mitigations & What's Next

Large language model (LLM) security refers to the strategies and practices that protect the confidentiality, integrity, and availability of AI systems that use large language models. These models, such as OpenAI’s GPT series, are trained on vast datasets and can generate, translate, summarize, and analyze text. However, like any complex software component, LLMs present unique attack surfaces because they can be influenced by the data they process and the prompts they receive from users.

Is This the Best Coding Model in the World? Claude Sonnet 4.5

In this episode of our AI Coding Tools series, we test Claude Sonnet 4.5 to see if it can build a secure note-taking app. The model claims to be the best in the world — but does it live up to the hype? We’ll cover how it codes, where it shines (or struggles), and how it stacks up against other AI coding assistants.

Reimagining Trust in Software Releases: A New Approach to Supply Chain Integrity (Part 2)

Only secure, verified, compliant software should reach production. Full stop. With increasing pressure on modern development teams to deliver across security and compliance requirements, a fully-secured, attestable pipeline demands complete visibility and control across the entire release lifecycle in a single solution.

The Ultimate Showdown: Dedicated vs. VPS - Which Server Architecture Is the True Champion for Your Business?

Let's be honest: when you decide to host a major application, a high-traffic website, or a complex database, you're not just buying computing power. You are choosing a place to live in the digital universe. This choice defines your performance, your security, and your future costs. Standing at this crossroad, you face the central dilemma of modern hosting: should you lease an entire physical server (Dedicated), or is a Virtual Private Server (VPS) enough?

DevSecOps Unlocked: Fortify Your Software Supply Chain

How can you ensure your software supply chain is resilient and prepared for the challenges ahead? In this exclusive session, we’ll reflect on key lessons from 2024 and showcase how JFrog is leading the way in securing DevOps pipelines for 2025 and beyond. Join us for an engaging conversation with industry experts as we uncover real-world insights, explore actionable strategies, and demonstrate innovations designed to safeguard your software delivery lifecycle in an evolving threat landscape.

Top 7 SAST tools for DevSecOps Teams in 2025

SAST (Static Application Security Testing) tools are crucial for DevSecOps, enabling automated code analysis to identify vulnerabilities early in the development lifecycle. They analyze source code without execution, detecting issues like SQL injection, XSS, and buffer overflows. Popular SAST tools used by DevSecOps teams include Mend, Checkmarx, Snyk, Veracode, BlackDuck, SonarQube, and Semgrep. Integrating SAST into CI/CD pipelines ensures continuous security checks as code is developed.

CloudCasa and SUSE Storage: A Cost-Effective Disaster Recovery Solution for Kubernetes and SUSE Virtualization

CloudCasa by Catalogic and SUSE have partnered to deliver a new disaster recovery solution for Kubernetes and SUSE Virtualization environments. This joint approach combines CloudCasa’s Kubernetes-native backup and recovery platform with SUSE Storage (a.k.a. Longhorn) and its Disaster Recovery Volumes feature. This provides a resilient, storage-driven DR strategy that reduces cost, complexity, and recovery times.

Proven Best Practices for Safer Code that Work: AppSec for the Win | Webinar Mend.io

In this session, Chris Lindsey discusses proven best practices for building a robust AppSec program, offering actionable insights for both developers and security teams. Chris, with over 35 years of experience in software development and 15+ years in security, shares strategies that helped him run a successful security program.