Understand how cloud threats are detected, investigated, and contained. These articles walk through telemetry sources, attack patterns, and practical workflows for fast, effective response.
Understand how Wiz connects alerts, events, and signals to surface risks and accelerate response across the cloud.
Identity threat detection and response tools vary widely in how they collect signals and how they act on them. Before comparing vendors, it helps to agree on the technical requirements that separate a capable platform from a log-forwarding dashboard.
Extended detection and response (XDR) correlates endpoint, network, identity, and cloud signals. See how XDR works, native vs. open XDR, and its cloud gaps.
Application detection and response tools catch attacks inside running apps. Compare the top ADR tools for 2026, how they work, and how to pick the right one.
Endpoint detection and response tools compared: see the top EDR platforms, how to evaluate them, and where cloud detection and response fills the gaps.
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Application detection and response (ADR) is an application security approach that detects and stops attacks from inside running applications.
Runtime security tools compared: how Wiz, Sysdig, Falco, CrowdStrike, Datadog and more protect live cloud workloads, and which are worth a proof of concept.
Looking for an Upwind alternative? Compare the leading platforms enterprise CISOs evaluate, including Wiz, Sysdig, Palo Alto Networks, and CrowdStrike
AI detection and response (AIDR) is a security capability that monitors your AI systems, prompts, agents, models, and the data pipelines feeding them, then acts when something goes wrong.
Purple teaming is a collaborative validation loop: emulate a realistic procedure, observe what the defensive stack sees, improve the control, and retest.
Red teaming evaluates how well your organization detects, contains, and responds to realistic attacks by using ethical hackers to pursue specific objectives.
Most incident response teams measure both MTTD and MTTR to not only shorten attackers’ dwell times in their systems but also to gauge the team’s readiness to combat future security incidents and then optimize response times.
Threat detection and response (TDR) is a cybersecurity discipline that combines continuous monitoring, threat identification, investigation, and containment to find and stop attacks before they cause damage.
A tabletop exercise is a facilitated discussion built around a simulated incident. Participants talk through what they would do, who would make which decisions, what evidence they would need, and where response steps would stall.
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.
SOAR tools unify your operational workflow, allowing you to ingest alerts from fragmented sources and automate the repetitive aspects of incident response.
Cloud investigation and response automation (CIRA) harnesses the power of advanced analytics, artificial intelligence (AI), and automation to provide organizations with real-time insights into potential security incidents within their cloud environments
A reverse shell attack is a type of cyberattack where a threat actor establishes a connection from a target machine (the victim's) to their machine.
An incident response plan template is a pre-structured document that gives organizations a standardized framework for how to detect, investigate, contain, and recover from cybersecurity incidents.
Open-source software (OSS) incident response (IR) tools are publicly available tools enterprises use to effectively manage and respond to numerous security threats.
A zero-day vulnerability is a software flaw that the vendor does not yet know about or has not yet patched, giving defenders zero days to prepare before attackers can exploit it.
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.
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.
Learn the foundations of cloud detection and response (CDR), how to implement it, and the right platform to manage your cloud security plan.
An incident response plan is a documented, structured approach that outlines how an organization detects, contains, eradicates, and recovers from cybersecurity incidents.
Cloud threat hunting is the proactive search for malicious activity across cloud infrastructure, workloads, and identities before automated tools detect it.
Attack path analysis (APA) is a cybersecurity technique that identifies and maps how potential attackers could infiltrate your network and systems
An incident response team is a specialized security unit within an organization whose primary duties involve responding to cyber incidents and addressing compromised systems, applications, and data.
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.
Learn how SOC automation reduces manual workloads, improves threat detection, and accelerates response with AI-driven tools and real-time security workflows.
A rootkit is a malicious software that hides its presence and grants unauthorized access to a system to steal data, monitor activity, or manipulate functions.
An incident response checklist is a step-by-step guide that tells your security team exactly what to do when a cyberattack happens.
Learn the 6 essential incident response steps to detect, contain, and recover from threats. Compare NIST vs. SANS and optimize your IR process for the cloud.
Incident response services are specialized teams and tools that help you detect, contain, and recover from cyberattacks.
Incident response automation uses AI and machine learning to detect, triage, and remediate security incidents faster than manual processes allow.
Data detection and response (DDR) is a cybersecurity solution that uses real-time data monitoring, analysis, and automated response to protect sensitive data from sophisticated attacks that traditional security measures might miss, such as insider threats, advanced persistent threats (APTs), and supply chain attacks.
Cloud security operations center (SOC) tools are the security solutions used by SOC teams to track and triage threats and vulnerabilities in cloud environments.
SecOps is the collaborative integration of IT security and operations teams to protect and manage an organization's digital assets more efficiently.
Learn use cases, tactics, and the foundations of the MITRE ATTACK (also known as MITRE ATT&CK) framework and how to leverage it for improved cloud security.
An incident response report is a formal document that captures the complete story of a security incident, including the who, what, when, where, why, and how of what occurred.
Learn more about incident response playbooks to find gaps in your process. Plus, get free playbooks for your cloud security teams, best practices, and more.
A Denial of Service (DoS) attack usually originates from one system or one upstream source, while a Distributed Denial of Service (DDoS) attack coordinates many systems (a botnet) to generate traffic volumes that single-source attacks cannot achieve.
Threat modeling is a structured, proactive approach to identifying potential security threats in a system by analyzing it from an attacker's perspective before vulnerabilities can be exploited.
Lateral movement is the set of techniques attackers use to navigate through a network after gaining initial access. Once inside, they pivot from system to system searching for valuable data, privileged accounts, and critical assets.
DDoS attacks are cyberattacks that flood a target system with traffic from multiple sources, overwhelming its capacity to serve legitimate users.
Understand what digital forensics and incident response is. Plus, learn about the process and types of DFIR tools for speeding up cyberattack response time.
Types of DDoS attacks include volumetric floods, protocol connection exhaustion, and application-layer request overloads that disrupt legitimate services.
Learn how threat detection tools work in cloud environments, what capabilities matter most, and how modern platforms use context and automation to improve response.
ITDR is a security discipline that detects and responds to attacks that target or abuse user and machine identities, stopping credential misuse in real time.
Incident response is a strategic, coordinated process. It is how teams detect, analyze, contain, and recover from security incidents by combining preparation, detection, response protocols, and continuous improvement.
A honeypot is an intentionally vulnerable system that appears legitimate to attract malicious actors. By tricking attackers into interacting with a fake target, security teams can capture valuable intelligence about attacker tools, methods, and motivations in a controlled environment.
Build a strong incident response policy to manage cybersecurity crises with clear roles, compliance steps, and hands-on training.
DDoS prevention in cloud environments requires validating that traffic actually routes through protection layers, since direct origin exposure is one of the most common bypass techniques attackers use to circumvent your defenses entirely
The main difference is that SIEM focuses on detection and visibility, while SOAR focuses on response and automation. SIEM collects and analyzes vast amounts of log data, whereas SOAR acts on processed alerts and findings.
A security operations center (SOC) is a centralized function that combines people, processes, and technology to continuously monitor an organization's IT environment for security threats.
A man-in-the-middle attack is a cyberattack where an attacker secretly intercepts and potentially alters communications between two parties who believe they are communicating directly with each other.
SOC analysts translate cloud telemetry into actionable decisions by interpreting identity activity, workload behavior, and infrastructure changes in context.
A denial of service (DoS) attack makes an application, service, or network resource unavailable to legitimate users by overwhelming systems with traffic, requests, or state transitions.
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.
AI-powered threat hunting is the use of artificial intelligence to proactively search for signs of attacker activity in your cloud environments, rather than waiting for alerts to fire.
An incident response framework is a blueprint that helps organizations deal with security incidents in a structured and efficient way. It outlines the steps to take before, during, and after an incident, and assigns roles and responsibilities to different team members.
SOC reports are third-party proof of your organization's security posture, validating its approach to controls around security, privacy, availability, data processing integrity, and confidentiality.
AWS Threat Hunting is the practice of proactively searching for security threats in AWS environments before they cause damage.
A threat hunter is a cybersecurity professional who proactively searches for cyber threats lurking undetected in networks. Unlike reactive security roles that respond to alerts, hunters form hypotheses about potential compromises and methodically investigate to uncover stealthy attacks.
Red team vs blue team refers to offensive security experts probing system defenses while defensive teams detect, respond to threats, and improve protection.
Managed threat hunting is a proactive security service where experts search for hidden threats automated tools miss, reducing dwell time and potential damage.
A CISSP-aligned incident response model outlines seven common steps organizations use to detect, respond to, and recover from security incidents.
SOC threat hunting is a proactive cybersecurity practice where analysts actively search for signs of malicious activity that bypass traditional security controls.
DevOps is a way of working that breaks down walls between development and operations teams. This means developers and IT operations work together instead of in separate silos, which helps companies build and release software faster.
Threat hunting frameworks provide structured, repeatable methodologies for proactively searching for hidden threats that have bypassed traditional security defenses in cloud environments.
Threat hunting actively searches for hidden threats already inside your network, while threat intelligence gathers external information about potential threats to inform security strategy.
Incident response plan testing is essential for cloud-native organizations because it goes far beyond checking a box—it’s about proving your team’s ability to handle the unpredictable nature of real attacks.
Incident response certifications are professional credentials that prove you can handle security breaches when they happen. These certifications show employers that you know how to detect threats, contain damage, and get systems back to normal after an attack.
Incident response metrics are critical for understanding how efficiently your security team can identify, respond to, and recover from threats in cloud-native environments.
File integrity monitoring (FIM) can protect your data through early detection. Learn how to use it, as well as how to enhance compliance and security.
Proactive threat hunting is a hypothesis-driven security practice that assumes attackers are already present in your environment. It uses human-led investigations and security telemetry to actively search for hidden threats that bypass automated detection tools.
A security operations center (SOC) framework defines how an organization detects, investigates, and responds to threats. A SOC framework isn’t just a policy doc. It’s the people, processes, and technologies that keep threats in check—now redesigned for cloud speed and scale.
Malware scanning is the process of inspecting files, systems, and cloud resources for signs of malicious software—before it causes damage.
Compare Rapid7 and CrowdStrike: features, threat detection, endpoint protection, and performance to help you choose the right solution for your team.
A SOC manages cloud and on-premises security with complete oversight. On the other hand, MDR is an external service that provides cloud-focused threat detection and response, offloads operational complexity, and offers flexibility without internal resource expansion.
Alert fatigue, sometimes known as alarm fatigue, happens when security team members are desensitized by too many notifications, leading them to miss critical signals and legitimate warnings.
To defend against malware in the cloud, businesses need a detection and response solution that’s built for the cloud, fluent in cloud-based indicators of compromise (IOCs), and enriched by cloud threat intelligence.
Credential stuffing attacks can cost a breached organization millions in fines per year. Learn more about foundations, solutions, and real-life cases.
SOCaaS outsources threat detection, investigation, and response for cost savings, scalable operations, and on-demand expertise.
Indicators of compromise (IOCs) signal a potential security breach, acting as digital evidence of suspicious activity within a system or a network.
Data exfiltration is when sensitive data is accessed without authorization or stolen. Just like any data breach, it can lead to financial loss, reputational damage, and business disruptions.
Privilege escalation is when an attacker exploits weaknesses in your environment or infrastructure to gain higher access and control within a system or network.
Cryptojacking is when an attacker hijacks your processing power to mine cryptocurrency for their own benefit.
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).
Social engineering is an attack technique that focuses on exploiting an enterprise’s employees. In a typical social engineering scenario, cybercriminals may trick or deceive employees into ignoring security protocols, making them unwitting collaborators in cyberattacks.
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 explore similarities and differences between the NOC and SOC. Then we’ll take a look at some tools that help NOCs and SOCs accomplish their core functions—as well as some tips for overcoming the main challenges to their smooth operation within your organization.
Cloud security monitoring refers to the continuous observation and analysis of cloud-based resources, services, and infrastructure to detect security threats, vulnerabilities, and compliance risks.
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.
A security operations center (SOC) team is a group of highly skilled professionals responsible for scanning IT environments and identifying and remediating cybersecurity threats and incidents
Credential access is a cyberattack technique where threat actors access and hijack legitimate user credentials to gain entry into an enterprise's IT environments.
MITRE ATT&CK®, a publicly available security toolkit that helps enterprises overcome cyber threats, defines defense evasion as a way for malicious actors to evade detection during an attack.
Wade through the alphabet soup of detection and response technologies to understand where they overlap and how they differ.
