Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Threat Detection

Sweet Security Introduces Patent-Pending LLM-Powered Detection Engine, Reducing Cloud Detection Noise to 0.04%

Sweet Security, a leader in cloud runtime detection and response, today announced the launch of its groundbreaking patent-pending Large Language Model (LLM)-powered cloud detection engine. This innovation enhances Sweet's unified detection and response solution, enabling it to reduce cloud detection noise to an unprecedented 0.04%. Sweet uses advanced AI to help security teams navigate complex and dynamic environments with improved precision and confidence.

The Critical Evolution of Cloud Detection and Response

Cloud security has reached an inflection point. Organizations have accelerated their cloud adoption and must navigate a complex threat landscape where workloads spin up and down in seconds, applications deploy continuously and identities span multiple services and providers.

Corelight and Microsoft: A smarter way to fight alert fatigue

For SOC teams, the battle against cyber threats can feel like trying to solve a 3D jigsaw puzzle in a bouncy house with missing pieces and a timer blasting every few seconds. Despite the increase in security spending, most teams still struggle with inefficient investigations, alert fatigue, and the non-stop guessing game of prioritizing threats. That’s why we’re excited about our latest integration with Microsoft Security that we hope will help address these persistently common challenges.

How Calico Network Threat Detection Works

In today’s cloud-native environments, network security is more complex than ever, with Kubernetes and containerized workloads introducing unique challenges. Traditional tools struggle to monitor and secure these dynamic, interconnected systems, leaving organizations vulnerable to advanced threats, such as lateral movement, zero-day exploits, ransomware, data exfiltration, and more.

Feature Announcement: Enhancing ARMO Platform's Threat Detection and Response

We are excited to announce the upcoming enhancement of ARMO Platform’s Threat Detection and Response feature, designed to provide more robust, real-time security protection for your cloud and Kubernetes environments. While the existing feature effectively detects anomalies, suspicious behavior, and active threats, we recognize the need for additional critical components: Policies, Response, and notifications.

How Crypto Mixing Fits Into Your Threat Detection System and Approach to Online Privacy

Think you can fly under the radar and be completely anonymous with cryptocurrencies like Bitcoin and Ethereum? Think again. The crypto you buy on popular exchanges like Coinbase is, by default, far more traceable than cash could ever be. The same blockchain technology that makes it secure also leaves a breadcrumb trail that leads right back to you. All it takes is someone determined enough to follow the money.

Mastering Ransomware Defense For Small Businesses

Ransomware poses a significant threat to small businesses by locking critical data and demanding hefty ransoms. Understanding the mechanisms and vulnerabilities exploited by cybercriminals is crucial in safeguarding your operations. This guide will walk you through practical steps to fortify your defenses, detect threats early and ensure swift recovery.

How to Discover Advanced Persistent Threats in AWS

When it comes to managing AWS cloud security, a growing concern for security operations (SecOps teams) is the increasing sophistication of digital threats. While conventional cyber threats deploy widely known tools and techniques in crude, all-or-nothing attempts to breach enterprise security controls, sophisticated attacks known as Advanced Persistent Threats (APTs) employ more advanced technologies and methods to gain and maintain access to secure systems for long periods of time.

CrowdStrike Uses Proven Detection Logic for Pre-Deployment Malware Scanning

As organizations embrace DevOps practices and CI/CD pipelines to accelerate software delivery, their greater dependency on third-party components can introduce security risks. Because malware can infiltrate an environment during development, it’s important to check for it ahead of deployment.