Podcast: Building ML to Make Humans More Effective
It’s one thing to add machine learning and artificial intelligence features to an existing software platform. It’s quite another to build an entire company like Abnormal Security around machine learning technology, and to provide practical, everyday value to enterprise organizations.
June 29, 2021
It’s one thing to add machine learning and artificial intelligence features to an existing software platform. It’s quite another to build an entire company like Abnormal Security around machine learning technology, and to provide practical, everyday value to enterprise organizations.
In this podcast, our Head of Machine Learning, Jeshua Bratman, joins the CTO and Co-Founder of Cresta, Tim Shi, and Greylock Partner, Saam Motamedi—who sits on the board of both companies—on their podcast to discuss the challenges and opportunities in building applied ML companies.
You can listen to the episode here:
Discover How It All Works
See How Abnormal AI Protects Humans
Related Posts
The psychology of the modern work environment has become a roadmap for attackers—and a blind spot for traditional email security.
New research reveals that employees engage with 44% of read vendor email compromise attacks. See which industries and roles are most vulnerable to this threat.
Abnormal AI received the highest scores possible in the Innovation and Roadmap criteria, the top score in the Strategy category, and above-average customer feedback.
Traditional secure email gateways once defined email security. Today, they’re struggling to catch the final—and most dangerous—1% of attacks.
Discover how Abnormal AI leverages AI tools like Cursor and Model Context Protocol (MCP) in production to accelerate development.
Explore key takeaways from Season 4 of Convergence, covering how malicious AI is reshaping cybercrime, why human behavior remains a core vulnerability, and what evolving AI policy means for defenders.