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CLOUD SIEM
No more tradeoffs: Get both speed and accuracy
Detect threats early, enhance security context, and automate workflows for faster remediation. Analyze security data in real time to strengthen your defenses.
Explore managed threat detection and investigation
Threat detection, investigation, and response (TDIR) empowers security teams with tools and processes to detect, investigate, and respond quickly across environments. Advanced analytics, automated workflows, and integrated threat intelligence identify risks early, streamline investigation, and drive decisive action.
Real-time streaming and enrichment
Cloud SIEM, powered by over 900 customizable rules, streamlines threat detection and response with reduced mean time to detect (MTTD) and alert management effort. Each high-severity alert is enriched with threat intelligence for context and efficiency.
MITRE ATT&CK alignment
Instantly understand the scope of detection with industry-leading 80% TTP coverage from our MITRE ATT&CK Coverage Explorer, offering real-time insights on adversary tactics, empowering security teams to optimize rules and align defenses effectively.
Insider threat detection
Track anomalous behaviors across your environment by analyzing user behavior with Outlier rules in Cloud SIEM to detect deviations from an entity's 30-day behavioral baseline, flagging unusual activities like login failures or data spikes. Adjust sensitivity to reduce false positives, and trigger investigations based on persistent anomalies.
Entity Timelines and Entity Relationship Graphs
Focus on the central entity in a given Insight, along with any other entities that have had contact or communication within the designated period, to easily determine the blast radius at a glance. The Entity Timeline in Cloud SIEM provides a chronological view over a three-day period, helping track its actions before, during, and after incidents. The Entity Relationship Graph visualizes connections between the central entity and other entities within the same timeframe. Investigate cybersecurity incidents with a detailed, organized view of entity interactions and activities.
AI-powered Copilot
Mo Copilot is an AI-powered assistant that accelerates search, investigation, and threat analysis. By automating complex queries and providing instant insights, Copilot enhances your team’s ability to swiftly detect and respond to threats. With Copilot’s real-time assistance, your team can resolve incidents faster, reduce dwell time, and maintain a proactive security posture, ensuring your organization stays one step ahead of evolving threats.
AI-driven triage
With AI-driven triage capabilities, keep your team focused on real threats, minimize false positives, and streamline investigations while improving efficiency and strengthening security resilience. Optimize your threat response and reduce alert fatigue with Insight Trainer and Global Confidence Scores. Insight Trainer learns from your environment to enhance alert accuracy, while Global Confidence Scores prioritize alerts using aggregated global threat intelligence feeds.
Instant remediation
Quickly prioritize, investigate, and better understand potential security threats with playbooks from our Automation Service that adds deeper context for investigations and automates notification workflows. You can easily execute response actions such as resetting an account or adding a domain to the firewall rules without leaving the Cloud SIEM user interface.
Additional resources
Brown Bag: Threat Hunting
Watch video
Fine-tuning Cloud SIEM detections through machine learning
Read blog
MSSP achieves 1,000% improvement in alert fidelity
Download case study
Automating insider threat monitoring
Download case study
Unified SIEM dashboard automates security investigations
Download case studyFAQ
What is threat detection and response?
Threat detection allows a security team to quickly and accurately identify potential threats to the network, applications, or other assets within the network. This capability is essential for IT security analysts to respond effectively to incidents and mitigate damage.
Why is threat detection important?
Identifying threats early allows IT teams to respond in real-time, which is essential for protecting network assets. Without timely threat detection, organizations risk data breaches and system compromises.
What are the key aspects of threat detection and response?
Threat detection focuses on:
Identifying threats quickly and accurately
Understanding potential threats in the cyber environment
Employing effective security tools and response strategies to mitigate damage
What are some main challenges in threat detection and response?
Cybersecurity professionals face multiple challenges, including:
Endpoint Protection: Managing security across diverse devices, especially with remote work and BYOD policies.
Network Detection: Monitoring complex, encrypted networks to identify malicious activity.
Unknown Threats: Handling advanced threats like AI-powered attacks that evade traditional detection.
Tool Sprawl: Managing and integrating multiple security tools effectively.
Staffing Challenges: Addressing a shortage of skilled cybersecurity professionals and leveraging third-party detection services if needed.
What types of threats do organizations focus on in threat detection and response?
Several common threat types include:
Malware: Includes spyware, viruses, and trojans that can disrupt systems and steal information.
Phishing: Tricking users into disclosing sensitive information through fake emails or websites.
Ransomware: Locking or disabling a system and demanding payment to regain access.
DDoS Attacks: Overloading a network to disable servers.
Botnets: Networks of infected devices that can be used for spam or DDoS attacks.
Blended Threats: Using multiple attack techniques to target systems.
Zero-Day Threats: Newly developed threats that are challenging to detect as they exploit unknown vulnerabilities.
Advanced Persistent Threats (APTs): Sophisticated, long-term attacks that aim to gather intelligence and compromise sensitive information.
How does Sumo Logic enhance threat detection in cloud environments?
Sumo Logic helps organizations aggregate data, analyze patterns, and configure real-time alerts, allowing for automated response and faster recovery. Its platform leverages advanced machine learning and data protection to strengthen threat detection across cloud infrastructures.
What differentiates Sumo Logic threat detection and investigation from other solutions?
Here are some differentiating factors that set Sumo Logic apart from other solutions:
Cloud-native architecture: Sumo Logic is built on a cloud-native architecture, which means it is purpose-built for the cloud and designed to handle large-scale, high-velocity data ingestion without infrastructure management.
Log and machine data analytics: Sumo Logic specializes in analyzing and correlating log and machine data from various sources, including systems, applications, network devices, and cloud services.
Real-time threat intelligence feeds and leverages machine learning algorithms, enriching security event data for more accurate and proactive threat detection.
Anomaly detection and behavioral analytics: Sumo Logic applies advanced analytics techniques, including machine learning and behavioral analytics, to detect anomalies and identify suspicious patterns of activity. It establishes baselines for normal behavior and alerts security teams when deviations or unusual activities are detected, helping to identify potential threats or insider attacks.
Comprehensive data correlation and investigation that allows security teams to connect security events across different data sources.
Cloud security visibility into cloud environments, including public cloud platforms like AWS, Azure, and GCP, with pre-built dashboards and analytics tailored for cloud security monitoring.
Automated threat detection and incident response that automate the detection of security events, generates real-time alerts and triggers predefined workflows for incident response, enabling faster and more efficient incident resolution.
Collaboration and SOC integration: Sumo Logic supports collaboration among security teams by providing centralized dashboards, shared workspaces, and incident management features. It facilitates integration with Security Operations Centers (SOCs) and existing security toolsets, enabling seamless workflows and information sharing for effective threat detection and response.
Compliance and audit support with pre-built compliance dashboards, reports, and log analysis capabilities that assist in demonstrating adherence to security standards and regulations.
