Amazon Bedrock and Elastic’s Attack Discovery automate security analyst workflows As cyber threats grow increasingly sophisticated, the need for highly effective security measures becomes imperative. Traditional SIEMs aren’t equipped to address threats fast enough because they rely on too many manual and labor-intensive tasks. AI-driven security analytics from Elastic’s Search AI platform solves these challenges.

Many organizations are migrating to cloud infrastructures. The cloud presents new levels of flexibility and scalability in the way organizations operate. But as with any new opportunity, it also creates new forms of risk. How can organizations succeed at identifying and remediating these security risks?

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.

A long time ago in a movie theater far, far away, a little film by the name of “Star Wars” took the world by storm and changed the course of sci-fi, cinema, and pop culture for decades to come. But believe it or not, this intergalactic tale of droids and lightsaber duels can actually teach us a lot about the importance of cybersecurity. As it turns out, if the bad guys had been a little more security-savvy, the film might have ended quite differently.

Cloud storage services and SaaS apps like Google Drive and Microsoft OneDrive provide convenient, scalable solutions for managing documents, photos, and more—making them indispensable for modern work and personal life. However, misconfigured settings and permissions can lead to serious security breaches, noncompliance, and even the loss of customer trust. Let’s explore the 5 most common misconfiguration issues with real-world examples.

Security teams require complete visibility into their hosts, containers, and functions in order to detect, prioritize, and remediate their most pressing security risks. The Datadog Agent helps you achieve this visibility by collecting deep insights in your environment through logs, distributed traces, infrastructure metrics, and other key telemetry.

When it comes to securing applications in the cloud, adaptation is not just a strategy but a necessity. We’re currently experiencing a monumental shift driven by the mass adoption of AI, fundamentally changing the way companies operate. From optimizing efficiency through automation to transforming the customer experience with speed and personalization, AI has empowered developers with exciting new capabilities.

Identity theft is one of the things you never expect to happen to you until it does. The scariest part is not the theft itself but what follows after. Victims of identity theft don't often discover their financial, reputational, and bureaucratic lives are destroyed until long after the crime was committed. This delay makes it extremely difficult for authorities to investigate identity theft cases.

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.