1.4.A.2Adversaries can use generative AI tools, like large language models (LLMs), to create convincing phishing messages in any target language. Because traditional phishing messages are sometimes written by non- native speakers of…Learning objective: Explain how adversaries use AI-powered tools to augment cyberattacks.
1.4.A.6Adversaries can use AI-enhanced coding tools to help them write new malware, modify existing application code to perform malicious activities, or to find vulnerabilities in large code bases.Learning objective: Explain how adversaries use AI-powered tools to augment cyberattacks.
1.5.A.2AI-powered tools can analyze application code to identify vulnerabilities and recommend mitigations. Recommendations should always be reviewed by a knowledgeable programmer before being implemented.Learning objective: Explain how cyber defenders can leverage AI-powered tools to protect networks, applications, and data.
AP Networking alignment
1.4.B.1To prevent phishing-based account compromise, users should verify message sources and use caution before interacting with emails or messages, especially those requesting sensitive information. Users should: • verify the…Learning objective: Implement device- and account-level security practices to prevent phishing, credential compromise, and data loss.
1.4.B.3To prevent exploitation of known vulnerabilities that can lead to device compromise or data loss, users should keep all software and firmware current. Software refers to applications and operating systems, while firmware is…Learning objective: Implement device- and account-level security practices to prevent phishing, credential compromise, and data loss.
4.6.B.4Applying and documenting software updates and patches reduces the risk of failure and reduces recovery time if an outage occurs.Learning objective: Identify ways to improve the reliability and availability of networked systems.