These days, your organization's data is its most valuable asset. But what happens when that data slips through your fingers? Picture this: It's Friday afternoon, and your security team receives an alert about an unusual number of downloads from your cloud storage app, Google Drive. As you investigate, you realize it's corporate IP that's being downloaded en masse by a departing employee. This type of exfiltration incident isn't just hypothetical; it's a reality that organizations face on the daily.

You’ve probably heard or read the advice: ‘Turn on multi-factor authentication (MFA) everywhere it’s offered.’ After all, it’s a great way to add an extra layer of protection to your online accounts.

Organizations face an increasing number of software security threats that can compromise their sensitive data and disrupt business operations. To effectively manage these risks and enhance their security posture, it’s crucial for organizations to adopt modern application risk reduction strategies that not only mitigate potential vulnerabilities but also provide clear, actionable next steps and insights for reporting purposes.

Malware attacks have become an unfortunate reality for organizations of all sizes. Malicious software is always changing, which causes a lot of problems. This, along with the fact that hackers are getting smarter, has made it hard for security teams to keep up with threats. For organizations to successfully fight malware, they need to take a comprehensive and proactive approach. This plan should include both responding to incidents and gathering information about threats.

Server compliance is critical to regulatory compliance, ensuring that organizations meet industry-specific standards for protecting sensitive data. Proper server configuration and continuous risk management are essential to avoid fines and maintain operational integrity. Server compliance is the adherence to specific regulations, standards, and best practices designed to safeguard sensitive information, maintain operational efficiency, and mitigate potential risks.

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.

From groceries to gadgets, everything can be delivered to your doorstep these days with just a few clicks. In this e-commerce world, logistics and postal companies have become critical players in the retail sector, with brand names that everyone recognizes. But this has also made them goldmines of PII that attackers would do anything to get their hands on.

The dynamic world of Kubernetes and cloud security is constantly evolving. As we explore this complicated ecosystem, it’s crucial to understand the role of policy as code (PaC) and its impact on operations and security teams. Emerging from the broader paradigm of infrastructure as code (IaC), PaC represents a significant shift in how we manage and secure cloud-native environments.

Deploying large language models (LLMs) securely and accurately is crucial in today’s AI deployment landscape. As generative AI technologies evolve, ensuring their safe use is more important than ever. LLM guardrails are essential mechanisms designed to maintain the safety, accuracy, and ethical integrity of these models. They prevent issues like misinformation, bias, and unintended outputs.