SOC Metrics: Measuring SecOps KPIs
SecOps metrics are trackable bits of data that quantify various aspects of your security operations center (SOC), such as performance or efficiency.
SecOps metrics are trackable bits of data that quantify various aspects of your security operations center (SOC), such as performance or efficiency.
Explore the top best practices for an effective security operations center (SOC).
In this post, we’ll look at where anomaly detection fits into your cybersecurity big picture, some common techniques and use cases, as well as some tips on rolling out anomaly detection without adding to your teams’ workload.
In this post, we’ll look at some of the differences between MDR and traditional managed services, how MDR functions within organizations, some of the tools it works with for even more effective threat detection and response, and the most important tip for getting the most out of your MDR solution.
Incident response automation is a practice that uses artificial intelligence (AI) and machine learning (ML) capabilities in order to speed up the incident response process.
Detection engineering is a structured approach to developing, implementing, and refining threat detection mechanisms that’s tailored to an organization’s specific environment.
Open-source software (OSS) incident response (IR) tools are publicly available tools enterprises use to effectively manage and respond to numerous security threats.
An incident response plan (IRP) is a detailed framework that provides clear, step-by-step guidelines to detect, contain, eradicate, and recover from security incidents.
An incident response playbook is a document outlining clear steps for security teams to follow when responding to and resolving security incidents such as malware infections, unauthorized access, denial-of-service attacks, data breaches, or insider threats.
Cloud incident response is a strategic approach to detecting and recovering from cyberattacks on cloud-based systems with the goal of minimizing the impact to your workloads and business operation accordingly.
Cloud threat modeling is a systematic approach designed to uncover, evaluate, and rank the potential security vulnerabilities and dangers unique to cloud-based systems and infrastructure.
Cloud security logs are formatted text records that capture events and activities as they occur in a cloud environment, providing insight into what’s happening within that environment in real time.
Cloud forensics is a branch of digital forensics that applies investigative techniques to collecting and evaluating critical evidence in cloud computing environments following a security incident.
Security operations centers (SOCs) are centralized facilities and functions within an enterprise’s IT ecosystem that monitor, manage, and mitigate cyber threats.
A new approach to detect and respond to cloud-native threats
In the cloud, logs are often the only way to get real-time visibility into what's happening, making them critical to any cloud detection and response program.