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.
Un plan de réponse aux incidents est une approche structurée pour détecter, contenir et éradiquer les cyberattaques. Sécurisez votre organisation dès maintenant.
Detection engineering is the practice of systematically designing, building, testing, deploying, and maintaining threat detection logic to identify malicious activity or unauthorized behavior across an organization's environment.
Incident response automation uses AI and machine learning to detect, triage, and remediate security incidents faster than manual processes allow.
Regardez comment Wiz transforme la visibilité instantanée en une remédiation rapide.
Apprenez-en plus sur les playbooks de réponse aux incidents pour identifier les lacunes de vos processus. Obtenez également des playbooks gratuits pour vos équipes de sécurité cloud, des bonnes pratiques et bien plus encore.
Les centres d’opérations de sécurité (SOC) sont des installations et des fonctions centralisées au sein de l’écosystème informatique d’une entreprise qui surveillent, gèrent et atténuent les cybermenaces.
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.
Open-source software (OSS) incident response (IR) tools are publicly available tools enterprises use to effectively manage and respond to numerous security threats.
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.
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.
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.
