Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Bridging the Gap Between VMs and Containers

Traditionally, containers and VMs have operated in separate silos, each with distinct management tools and workflows. OpenShift Virtualization breaks down these barriers, allowing VMs to run alongside containerized applications as native Kubernetes resources. This offers organizations the flexibility to modernize their application stacks incrementally, leveraging existing VM-based workloads while embracing the agility of containers.

DORA vs GDPR: Aligning Compliance in a Data-Driven World

The Digital Operational Resilience Act (DORA) and the General Data Protection Regulation (GDPR) are two crucial compliance frameworks shaping the regulatory landscape. While GDPR focuses on data protection and privacy, DORA aims to strengthen the cybersecurity resilience of financial institutions. In this video, we break down: Key differences between DORA and GDPR How financial institutions can align with both frameworks Impact of non-compliance on DORA and GDPR Common Goals and Requirements of DORA and GDPR.

Seeing is Securing: Why Insider Threats Could Be Your Company's Biggest Blind Spot

You lock the doors to your office. You secure your systems with firewalls and antivirus software. You’ve got two-factor authentication for everything. But here’s the hard truth: the biggest threat to your organization might already be inside the building—or logged into your network. The stats don’t lie. Insider threats have been steadily climbing, with 76% of organizations experiencing attacks in 2024, up from 66% just five years ago . And these aren’t just minor issues.

How to Prevent Sensitive Data Exposure to AI Chatbots Like DeepSeek

With the rise of AI chatbots such as DeepSeek, organizations face a growing challenge: how do you balance innovative technology with robust data protection? While AI promises to boost productivity and streamline workflows, it can also invite new risks. Sensitive data—whether it’s customer payment information or proprietary research—may inadvertently end up in the prompts or outputs of AI models.

Kubernetes Secrets: How to Use Them Securely

Storing sensitive values is a problem as old as software itself. In 2016, Uber experienced a massive data breach that exposed 57 million users’ personal information—all traced back to a hardcoded AWS credential discovered in a GitHub repository. While we have successfully established that hardcoding secrets such as API keys and passwords is bad practice, correctly storing them is a different story, and the issues from 2016 are still prevalent today (8 years later…).

Proficio utilizes Elastic Security for threat management and AI integration

Brad Taylor, CEO and co-founder of Proficio, discusses the dynamics of cybersecurity, the essentials of managed detection and response, and how Proficio leverages Elastic and AI to protect global organizations from emerging threats. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.