Best Practices for Securing Data Used to Train and Operate AI Systems

Predicting Data Theft Through Shared Vulnerabilities - Small Business Currents

Data theft is a primary objective of cyberattacks. Hackers target sensitive data—social security numbers, passwords that access bank accounts, hospital records—with plans to either steal or encrypt it to obtain a ransom. However, the goal is usually different when artificial intelligence models are targeted. Rather than theft, hackers are typically focused on poisoning, which involves injecting false or biased data to compromise the performance …

Improving National Security Through Secure AI

Wendi Whitmore spoke on a panel of witnesses at a field hearing at Stanford’s Hoover Institution on May 28, outlining the AI innovations our team developed. The post Improving National Security Through Secure AI appeared first on Palo Alto Networks… Read more → The post Improving National Security Through Secure AI appeared first on IT Security News.

Agencies release guidance on AI data security

The National Security Agency, Cybersecurity and Infrastructure Security Agency and international partners May 22 released guidance on securing data used for artificial intelligence and machine learning systems. The guidance outlines potential risks from data integrity issues in various stages of AI development and usage, and it provides best practices to secure AI-based system data. Additionally, the guidance examines three significant areas of …

Agencies release guidance on AI data security – RamaOnHealthcare

The National Security Agency, Cybersecurity and Infrastructure Security Agency and international partners May 22 released guidance on securing data used for artificial intelligence and machine learning systems. The guidance outlines potential risks from data integrity issues in various stages of AI development and usage, and it provides best practices to secure AI-based system data. Additionally, [...]

Best Practices for Securing Data Used to Train and Operate AI Systems

The National Security Agency’s Artificial Intelligence, Security Center (AISC), together with the Cybersecurity and Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), the Australian Signals Directorate’s Australian Cyber Security Centre (ASD’s ACSC), the New Zealand’s Government Communications Security Bureau’s National Cyber Security Centre (NCSC-NZ), and the United Kingdom’s National Cyber Security Centre (NCSC-U…