Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Enterprises are racing to integrate AI into applications, yet transitioning from prototype to production remains challenging. Managing ML models efficiently while ensuring security and governance is a critical challenge. JFrog’s integration with NVIDIA NIM addresses these issues by applying enterprise-grade DevSecOps practices to AI development. Before exploring this solution further, let’s examine the core MLOps challenges it solves.

Policies are an essential part of every administrator’s digital toolbox. They let you tailor 1Password to your organization’s needs, strengthening security where necessary and making it easier for team members to follow company guidelines and procedures. Don’t worry if you haven’t rolled out any policies yet. Out of the box, 1Password improves your organization’s security by helping everyone use strong passwords and securely share company secrets.

Over 80% of businesses use at least one Software-as-a-Service (SaaS) application in their operations, per a report by SaaS Academy. It’s easy to see why SaaS applications are the fulcrum of many businesses today. From collaboration tools to CRMs, SaaS platforms enable flexibility, scalability, and operational efficiency. However, this convenience also comes with several security risks.

The Tripwire Enterprise Change Audit rules provide customers with the ability to monitor for change events that could have an impact on a system. Monitoring for change events can help administrators identify malicious and/or unexpected changes within their environment.

With its immense power and versatility, PowerShell has become a modern Windows administration, scripting, and automation standard. Developed by Microsoft, it is a powerful automation and configuration tool/framework that integrates seamlessly with other Microsoft technologies. However, this power also brings potential risks, and to mitigate them, PowerShell introduces execution policies—a set of rules that determine the conditions under which PowerShell scripts can run.

The enterprise attack surface now extends well beyond the network firewall. As a result, Third Party Risk Management Teams are increasingly becoming an extension of Security Operations Centers, responding in times of crisis to questions of who, what, and more urgently, how and when. The line between ‘their exposure’ and ‘our risk’ is almost non-existent. But bridging the gap between data and platforms can be challenging.

Cyber threats are evolving and are one of the reasons why data breach costs increase each year, and traditional security models are struggling to keep up. As businesses embrace cloud computing and working remotely, the old "trust but verify" approach is proving inadequate, leading to the increased adoption of zero-trust policies. But is Zero Trust widely accepted? The answer is increasingly yes. So, how does Zero Trust work, and what makes it so effective?

Vulnerability management has always been a challenge, but today’s security teams are feeling the pressure more than ever. With thousands of new CVEs reported every month, the sheer volume makes it difficult to know where to focus. In-use vulnerability prioritization is one of the most effective ways to cut through the noise, focusing only on vulnerabilities that are actively loaded in runtime. To focus on what really matters, security teams need better ways to prioritize risk.

For years, IT teams have been stuck in a reactive mode, scrambling to fix network performance issues only after users start complaining. Despite an abundance of monitoring tools, the real challenge has always been identifying and resolving issues before they impact productivity—without spending countless hours on manual troubleshooting.

The confidence gap in secrets management is real: 75% of organizations feel secure while only 44% of developers follow best practices. Discover what security experts reveal about remediation challenges, responsibility issues, and practical solutions for protecting your most sensitive credentials.