Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Understanding the nuances of AI Traffic Security is critical because traditional firewalls and API gateways are fundamentally ill-equipped to inspect unstructured natural language. In the past, enterprise data remained safely within the corporate perimeter. Today, employees are pasting highly sensitive information directly into external models, creating a massive vulnerability where the risk lies in the meaning and content, rather than syntax or connections.

Chris Luft and Matt Bromiley cover four stories in this week's Intel Chat that all point to the same trend: attackers are keeping pace with how fast AI tools are being built and deployed. They break down a chatbot pipeline vulnerability in Google Dialogflow CX, a phishing technique that hides malicious content until it renders in the browser, four newly exploited vulnerabilities added to CISA's KEV catalog, and an attack that exploits AI coding assistants' tendency to hallucinate fake repository names.