Results for “anomaly-detection”
16 skillsBigquery AI Ml
Run machine learning and generative AI tasks directly in BigQuery SQL using built-in functions for forecasting, anomaly detection, key driver analysis, and text generation.
14.4k · bundle
Azure AI Anomalydetector Java
Detect anomalies in time-series data using the Azure AI Anomaly Detector SDK for Java, with support for univariate and multivariate analysis, model training, and inference.
2.7k · bundle
GCP
Executes GCP CLI commands with credential injection and enforces anti-hallucination rules for billing data analysis, including net cost calculation, currency detection, and anomaly detection.
7 · bundle
Performing Network Traffic Analysis With Zeek
Deploy Zeek network security monitor to capture, parse, and analyze network traffic metadata for threat detection, anomaly identification, and forensic investigation.
24.6k · bundle
Ledger
Optimizing FinOps and cloud cost: IaC-based estimation, right-sizing, RI/SP recommendations, anomaly detection, budget alerts, AI/GPU workload economics. Use to forecast or cut cloud spend.
65 · bundle
Detecting Network Scanning With Ids Signatures
Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.
24.6k · bundle
More results
Implementing Network Traffic Analysis With Arkime
Deploy and query Arkime for full packet capture network traffic analysis, including session search, PCAP download, beaconing detection, DNS tunneling analysis, and TLS anomaly identification.
24.6k · bundle
Analyzing API Gateway Access Logs
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts using pandas for statistical analysis and anomaly detection.
24.6k · bundle
Detecting AWS Cloudtrail Anomalies
Query AWS CloudTrail events with boto3, build statistical baselines of normal API activity, and detect anomalies such as unusual event sources, geographic anomalies, high-frequency API calls, and first-time API usage patterns.
24.6k · bundle
Detecting Data And Model Poisoning
Detect poisoned training data and backdoored models across the ML pipeline using statistical analysis, activation clustering, and spectral signatures.
24.6k · bundle
Detecting OAUTH Token Theft
Detects and responds to OAuth token theft and replay attacks in cloud environments, focusing on Microsoft Entra ID token protection, conditional access policies, and sign-in anomaly detection.
24.6k · bundle
AWS Billing
Analyzes AWS billing data with anti-hallucination guardrails, covering cost breakdowns, trends, anomaly detection, RI/SP utilization, forecasting, and multi-account comparisons using Cost Explorer.
7 · bundle
Implementing Cloud Workload Protection
Monitors cloud workloads for runtime threats by checking process lists, network connections, file integrity, and resource utilization anomalies on EC2 and GCE instances.
24.6k · bundle
Detecting Insider Data Exfiltration Via Dlp
Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs using pandas for behavioral analytics and statistical baselines.
24.6k · bundle
Detecting Azure Lateral Movement
Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.
24.6k · bundle
Analyzing Cloud Storage Access Patterns
Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls, and potential data exfiltration using statistical baselines.
24.6k · bundle