AI adoption is becoming an arms race to unlock new business insights, bring new value to market, and outpace competition. However, AI has typically existed outside of traditional enterprise development practices for bringing new software innovation to market. With the impetus to launch and adopt new AI solutions, there are true concerns around how you can accelerate AI initiatives securely in a rapidly evolving space.

Case in point, a recent Information Week report commissioned by JFrog has found that 79% of firms say security concerns are slowing the use and/or integration of AI/ML into software, with only 48% having an enterprise-wide policy for LLM and GenAI technology usage. Similarly, 49% of firms have no reliable way to control usage of ML models in their apps, and less than a quarter have a single source of truth for all software components including AI models.

With the time, money, and resources being spent on AI innovations, organizations must realize the value of their efforts without putting themselves at risk. In this webinar, we sit down to discuss what enterprises can do to put the “AI petal” to the floor, while staying secure.

This webinar will cover:

• How AI/ML increases the attack surface for your applications and organization
• Practical steps adopt an MLSecOps approach
• Ways to simplify and accelerate your AI pipeline