Skill UI

AWS Detective automatically analyzes log data from CloudTrail, VPC Flow Logs, GuardDuty, and EKS audit logs to build interactive behavior graphs. This tool enables security analysts to investigate suspicious activity, trace lateral movement across accounts, profile compromised entities (IAM users, EC2 instances), and reconstruct complex attack timelines without manual log parsing. Ideal for triaging GuardDuty findings or investigating suspected AWS compromises.

KAPE (Kroll Artifact Parser and Extractor) is a specialized, rapid triage tool for incident response. It collects specific, volatile forensic artifacts (like registry hives, event logs, and browser data) from compromised Windows systems. It is designed for remote, at-scale artifact collection when full disk imaging is impractical, enabling analysts to quickly build a defensible, parseable dataset for initial investigation and containment.

This utility detects and classifies various anomalies (such as spikes, flatlines, drift, or pattern breaks) within telemetry data streamed from IoT devices. It utilizes Z-score anomaly detection to provide actionable insights. This is crucial for investigating unusual device metrics, ensuring system health before deploying major firmware updates (canary advancement), or triaging fleet-wide operational alerts.

This guide details the strategic process of writing a rebuttal for top-tier academic conferences (such as HRI). It provides a framework for triaging reviewer critiques, addressing methodological concerns (e.g., sample size, confounding), and making credible, actionable promises for the final camera-ready version, all while maintaining academic integrity and anonymity.

A comprehensive guide for authors handling a journal's revise-and-resubmit (R&R) decision. It outlines the critical sequence: prioritizing new analyses (identification, channel, measurement) over writing, triaging referee concerns (first-order vs. second-order), drafting evidence-backed responses, and updating the complete data-and-code package. Essential for quantitative researchers aiming for publication.

A comprehensive guide for researchers preparing manuscripts for top-tier financial journals. It teaches advanced strategies for conducting a pre-submission pre-mortem, anticipating specific econometric objections (e.g., endogeneity, measurement artifacts), and systematically triaging reviewer feedback (fatal, fixable, defensible). Ideal for improving research robustness and maximizing acceptance chances.