Explore ZBrain Platform
Tour ZBrain to see how it enhances legal practice, from document management to complex workflow automation. ZBrain solutions, such as legal AI agents, boost productivity.
The Access Log Analysis Agent streamlines the process of analyzing system access logs to identify unusual or suspicious activities. Leveraging GenAI, this agent monitors login patterns, failed access attempts, and changes to access privileges, promptly flagging any deviations from established norms. It generates comprehensive reports for the IT security team, enabling swift investigation and mitigation of potential security threats. By automating access log monitoring, the agent reduces the time required to detect unauthorized access and ensures that security teams receive real-time alerts, enhancing the organization’s ability to address breaches effectively. This solution strengthens security incident detection, minimizes the need for manual log analysis, and ensures prompt resolution of potential threats.
Seamlessly integrating with existing security tools and log management systems, the agent fits effortlessly into the organization’s current infrastructure. Additionally, it incorporates a human feedback loop, allowing security teams to refine anomaly detection parameters, adjust alert sensitivity, and continuously optimize the agent’s performance. This feedback enables the agent to adapt and improve its detection accuracy over time, aligning more closely with the organization’s unique security requirements and strengthening overall threat detection capabilities.
Accuracy
TBD
Speed
TBD
Sample of data set required for Access Log Analysis Agent:
Known Users and Roles
User: James Miller
172.20.0.0/16
)198.51.100.0/24
)203.0.113.0/24
)Timestamp | User ID | IP Address | Login Status | Action |
---|---|---|---|---|
2024-10-14 08:23:15 | james.miller | 172.20.10.10 | Success | Login |
2024-10-14 08:25:00 | emily.davis | 203.0.113.52 | Failure | Invalid Password |
2024-10-14 08:25:15 | emily.davis | 203.0.113.52 | Failure | Invalid Password |
2024-10-14 08:25:30 | emily.davis | 203.0.113.52 | Failure | Invalid Password |
2024-10-14 08:25:45 | emily.davis | 203.0.113.52 | Success | Login |
2024-10-14 09:01:00 | lucas.rogers | 192.168.1.101 | Success | Logout |
2024-10-14 09:40:20 | sarah.connor | 198.51.100.204 | Success | Login |
2024-10-14 10:15:05 | jessica.lee | 203.0.113.120 | Failure | Invalid Password |
2024-10-14 10:15:30 | jessica.lee | 203.0.113.120 | Failure | Invalid Password |
2024-10-14 10:15:45 | jessica.lee | 203.0.113.120 | Failure | Invalid Password |
2024-10-14 10:20:00 | michael.brown | 198.51.100.45 | Success | Login |
2024-10-14 10:55:10 | jessica.lee | 203.0.113.120 | Success | Login |
2024-10-14 10:57:30 | jessica.lee | 203.0.113.120 | Failure | Privilege Escalation Attempt |
2024-10-14 10:58:15 | jessica.lee | 203.0.113.120 | Failure | Privilege Escalation Attempt |
2024-10-14 10:59:00 | jessica.lee | 203.0.113.120 | Failure | Privilege Escalation Attempt |
2024-10-14 11:00:00 | jessica.lee | 203.0.113.120 | Failure | Privilege Escalation Attempt |
Security Configuration for Anther Corp
Login Policies
172.20.0.0/16
198.51.100.0/24
203.0.113.0/24
Sample output delivered by the Access Log Analysis Agent:
Security Incident Report
Alert ID: AL-20241014-SEC01
203.0.113.120
) and proceeded to make 4 consecutive privilege escalation attempts. None of these attempts were successful, and the behavior is indicative of a compromised account or malicious intent.203.0.113.120
is added to the untrusted list and is blocked from further attempts.203.0.113.120
to the blacklist and monitor for any future attempts from similar IP ranges.Monitors network performance and automatically sends alerts when downtime or performance degradation is detected.
Analyzes ticket severity and urgency, automatically recommending escalation paths to ensure that high-priority issues are handled by the appropriate teams.
Automates the management and optimization of self-service IT portals, ensuring that users can resolve common issues without needing direct IT support intervention.
Monitors server performance in real time, generating alerts when server resources are strained or performance degrades.
Automates the generation of detailed incident reports, ensuring accurate documentation of IT issues, resolutions, and impact for audits and future reference.
Automates the tracking and categorization of software bugs reported by users, ensuring that bugs are resolved in a timely and efficient manner.