A walkthrough of how AI-assisted security investigation works in cloud environments, using a real-world scenario of a compromised AWS IAM credential. The post covers four investigation stages: detecting behavioral anomalies (sudden SNS/SES API calls from a user with 60 days of stable history), analyzing API call patterns (single source IP, Boto3 user agent, anonymous proxy flagged by threat intel), mapping attacker goals (enumeration of SNS/SES endpoints suggesting a phishing campaign setup), and generating a final threat classification. Bits AI Security Analyst automates the time-intensive correlation steps—log analysis, threat intel lookups, behavioral baselining—so analysts can focus on containment decisions like revoking access keys and auditing CloudTrail logs.
Table of contents
Identify behavioral anomalies in a cloud security investigationAnalyze API call patterns to trace attacker toolingMap the attacker’s goals from cloud API activityClassify the threat and close out the investigationSpeed up cloud security investigations with Bits AI Security AnalystSort: