Shadow AI incident response begins with logs that may already be gone

LevelBlue's discussion on shadow AI incident response highlights the importance of promptly reviewing logs that may already be gone, as explained by Brandy Wityak, VP of Complex Matters. She notes that logs can roll over quickly, and firewall records of outbound traffic to AI platforms are often insufficient, making it challenging to track and respond to shadow AI incidents. This has significant implications for website owners, as it emphasizes the need to proactively monitor and manage AI bot traffic on their sites. With the potential for logs to be overwritten or lost, website owners must be vigilant in detecting and responding to shadow AI incidents to prevent data breaches or other security threats. The lack of comprehensive firewall records also underscores the importance of implementing robust tracking and monitoring systems to detect suspicious AI-related activity. To mitigate these risks, website owners should take the following actionable steps: regularly review and archive logs to prevent data loss, implement AI-specific tracking tools to monitor bot traffic, and update their llms.txt files to reflect changes in AI platform interactions. By taking these measures, website owners can improve their incident response capabilities and reduce the risk of shadow AI incidents compromising their site's security.