with ML-powered anomaly models covering time, count, and pattern anomalies to detect threats proactively, including account compromise, insider threats, and logon anomalies.
using continuous updates about malicious IPs, domains, IoCs, and more from open-source and commercial threat feeds.
by assigning dynamic risk scores based on user behavior and peer group analysis.
with peer grouping and contextual baselines that adapt to every user and entity.
Log360 delivers strong anomaly detection that identifies behavioral deviations across your environment. These models are continuously updated and mapped to the MITRE ATT&CK® framework, ensuring coverage against both known attack patterns and emerging threats.
Optimize detection accuracy by fine-tuning these anomaly models with parameters that perfectly match your expected baselines.
Custom rule creation: Specify custom correlation logic, appropriate contextual factors, and set thresholds unique to your business operations to detect unusual single-event behavior like failed file accesses, group or account deleted, and more.
Cut through the noise intuitively by assigning more weight to risky activities like unauthorized access, abnormal login failures, and file deletions. With customizable weights and decay factors, you define how risk is measured in your environment, ensuring that the most critical threats are always prioritized.
Accelerate incident containment through automated incident response workflows that act on validated threats.
Zia, Log360's AI-powered security assistant, turns fragmented security data into clear, contextual insights by automatically connecting users, devices, IPs, attack patterns, and other investigation context.
Leverage Log360's adaptive, ML-powered anomaly to detect sophisticated attacks.
The solution empowers security teams with intelligent anomaly detection through insider threat detection.
Identify malicious insiders through behavioral anomalies that deviate from established baselines and peer group norms.
Learn moreSpot compromised credentials by detecting activities inconsistent with established user behavior, including impossible travel scenarios or unusual resource access.
Monitor attempts to change user account passwords in Windows that repeatedly fail or occur in abnormal patterns, helping you detect credential-based attacks early.
Learn moreThis detection logic identifies unusual file modification activity using Log360’s anomaly-based rule set, which correlates behavioral deviations across users, hosts, and file types. It is mapped to the MITRE ATT&CK framework techniques for Defense Evasion (TA0005) and Privilege Escalation (TA0004).
This detection logic identifies anomalous software update activity using Log360’s anomaly-based rule set, which correlates deviations across users, hosts, and update patterns. It is mapped to the MITRE ATT&CK framework techniques for Defense Evasion (TA0005) and Privilege Escalation (TA0004).
The detection logic used for identifying this activity is part of Log360's comprehensive anomaly rule library, which is mapped to the MITRE ATT&CK framework (Defense Evasion (TA0005), Privilege Escalation (TA0004), and Modify Authentication Process (T1556.001).
Detect and stop threats in real time by correlating logs, user actions, and network events, to uncover suspicious behaviors, privilege abuse, insider threats, and more. Automatically enrich security alerts with popular threat intelligence feeds to expedite your investigation timeline.
Learn moreGet detailed reports on actions such as file creation, deletion, permission changes, and system file alterations, and quickly detect any attempts of unauthorized modifications to thwart potential security threats in your environments.
Learn moreLog360 brings together detection, investigation, and response in a single workflow, helping security teams cut through the noise and focus on what really matters. With ready-to-use playbooks, automated actions, and smooth integration across your existing security stack, it ensures incidents are contained quickly while reducing the overall impact on your business.
Learn moreLog360 continuously scans the deep and dark web for signs of your organization’s sensitive information. By alerting you the moment compromised credentials or stolen data surface on the dark web, it gives your security team the chance to act before attackers exploit them.
Learn moreLog360 strengthens your defenses with built‑in threat intelligence that keeps track of malicious IPs, domains, and files. By feeding real‑time threat data into your monitoring and correlation workflows, it helps teams spot indicators of compromise early and respond before attacks escalate.
Learn moreLog360 streamlines the process to regulatory compliance by centralizing audit-ready reports and continuous security monitoring. It comes with prebuilt templates for major standards like the GDPR, HIPAA, the PCI DSS, and SOX, helping teams demonstrate adherence without the manual overhead.
Learn moreWe wanted to make sure that one, we can check the box for different security features that our clients are looking for us to have, and two, we improve our security so that we can harden our security footprint.
Carter Ledyard
The drill-down options and visual dashboards make threat investigation much faster and easier. It’s a truly user-friendly solution.
Sundaram Business Services
Log360 helped detect insider threats, unusual login patterns, privilege escalations, and potential data exfiltration attempts in real time.
CIO, Northtown Automotive Companies
Before Log360, we were missing a centralized view of our entire infrastructure. Now, we can quickly detect potential threats and respond before they escalate.Log360 has been invaluable for improving our incident response and ensuring compliance with audit standards. It’s a game-changer for our team.
ECSO 911
Anomaly detection identifies unusual patterns or behaviors that deviate from established norms. It monitors network traffic, user activities, and system performance to spot irregularities that might indicate security threats or operational issues. This technique uses statistical models and ML to flag suspicious activities automatically, enabling a faster response to potential problems.
Log360 detects three main anomaly types: time anomalies (activities at unusual times), count anomalies (excessive actions beyond normal thresholds), and pattern anomalies (unexpected event sequences). These help identify insider threats, data exfiltration, logon irregularities, and compromised accounts by assigning risk scores for effective threat detection.
Anomaly detection struggles with defining normal behavior, high false positives, evolving patterns, and noisy data. Log360 bridges these gaps with advanced behavioral analytics that continuously learns from changing patterns to detect true security anomalies in real time.
Log360 reduces false positives through layered threat detection, adaptive thresholds, and smart filters. It also uses object filtering and provides rule tuning insights to enhance detection accuracy.
Log360 excels in anomaly detection by using ML for UEBA, with custom models, peer group analysis, risk scoring, and seasonality consideration. With its GenAI-powered Zia, you can also gain insights into how to respond to them with confidence.
Learn how Log360 can find anomalous behavior in your network and take action before they turn into high-risk incidents.
