Modern technology continues to assist, enhance, and shape every aspect of our lives—in our work, our homes, and even our vehicles. Home security video cameras and car dashcams are prevalent ways to ensure our personal safety and security. A popular electric vehicle has a “sentry mode” that is a perfect example of a system that monitors and captures events happening around the vehicle, providing information about incidents to vehicle owners.

The RSA Conference 2024 was a landmark event for Panoptica as we unveiled three transformative solutions: Smart CDR, GenAI Dynamic Remediation, and Security Graph Query. These tools work together seamlessly to strengthen your security architecture and ensure readiness against today's complex and evolving threats. Let’s take a look at each of these exciting new capabilities.

Embracing a shift-left security approach in software development will not only enhance your application security but will also accelerate your software product's time to market. By integrating security practices early in the software development lifecycle (SDLC)—particularly in your cloud-native applications—you can navigate modern cyber threats more effectively as you get to market more swiftly.

In our previous post, we explored the essentials of cloud detection and response (CDR), highlighting how the cloud's scale and complexity have transformed cybersecurity needs. We discussed the types of threats unique to the cloud and the broad benefits that CDR systems offer to organizations aiming to secure their cloud environments. This follow-up takes us deeper into some of the challenges that arise with detecting and responding to threats in the cloud.

A recent survey from Gartner forecasts that worldwide end-user spending on public cloud services will total $679 billion in 2024, and that number is expected to jump to $1 trillion in 2027. Businesses left and right are moving to the cloud. But as they make their move, the old ways of protecting data—like building a virtual wall around your data (“perimeter security”)—are proving inadequate.

A recent survey from Gartner forecasts that worldwide end-user spending on public cloud services will total $679 billion in 2024, and that number is expected to jump to $1 trillion in 2027. Businesses left and right are moving to the cloud. But as they make their move, the old ways of protecting data—like building a virtual wall around your data (“perimeter security”)—are proving inadequate.

When high profile security events happen, it is essential for you and your team to have the information you require right at your fingertips. Using Panoptica’s powerful graph database and easy to use query engine, you are easily able to discover all the assets in all your cloud environments that could have compromised software installed.

In today's cloud technology landscape, Kubernetes is widely used to orchestrate containerized applications, enabling deployment, scaling, and management. Applications in a Kubernetes environment benefit from high availability and resource efficiency, making them ideal for cloud-native development. However, challenges with filesystem consistency due to the ephemeral nature of containers can lead to discrepancies when they are restarted or modified.

Generative AI technology is rapidly evolving, offering groundbreaking capabilities in various fields, including cloud native environments and CNAPP (Cloud-Native Application) solutions. Development of generative AI technology holds immense promise for enhancing the capabilities and performance of cloud-native environments and CNAPP solutions.

In the rapidly advancing realm of cloud-native security, Data Security Posture Management (DSPM) emerges as a critical framework, ensuring organizations maintain robust control over their data assets. As cloud environments evolve, understanding and implementing DSPM becomes vital for better securing data defenses. In this blog post, we'll delve into the basics of DSPM, its significance in cloud-native security and how Panoptica approaches DSPM within its CNAPP solution.