Cybersecurity operators have increasingly relied on machine learning to address a rising number of threats. But will machine learning give them a decisive advantage or just help them keep pace with attackers? This report explores the history of machine learning in cybersecurity and the potential it has for transforming cyber defense in the near future.

CSET's Director of Strategy Helen Toner discussed with Wired CSET's collaboration with Partnership on AI to create the AI Incident Database.

Research by CSET's Emily Weinstein discusses China's use of AI surveillance to monitor COVID-19 patients.

CSET Senior Fellow and co-author of "Truth, Lies, and Automation" Andrew Lohn dissects how CSET used GPT-3 to generate false information.

Andrew Lohn discusses the different ways CSET used GPT-3 to automate misinformation.

CSET Senior Fellow Andrew Lohn shares his research using GPT-3 to write disinformation campaigns.

CEST's use of GPT-3 reveals an inevitable future where automated messages can create disinformation campaigns online.

CSET's Tim Hwang was invited to join the Federal Drive podcast to discuss tech companies' investments in AI and its misalignment with national priorities.

CSET Senior Fellow Andrew Lohn weighs the strengths and weakness of AI used in cybersecurity.

Using GPT-3, CSET was able to generate written messages of misinformation disguised as a human.