Rage Against the Machine: When Attackers Use Machine Learning On Offense

Many of us have embraced machine learning (ML) and even artificial intelligence (AI) for decreasing the time in detection and response for attacks, but our adversaries have also seen the promise of this technology. Offensive Machine Learning has bad actors using these tools to optimize tasks (like password cracking and other brute force methods), as well as creating “Deep Fakes” (for targeted impersonation and phishing attempts). Adversarial Machine Learning sees attackers using their understanding of machine learning to find blind spots and biases in ML platforms and models and exploit those. Join Domain Tools and (ISC)2 on July 16. 2020 at 1:00PM Eastern for a discussion on how organizations can better position their blue, red and purple teams to understand these automated platforms to protect themselves and do their tasks more effectively.