AI Adoption And DevSecOps

Staying Ahead While Staying Secure

The integration of AI into your software pipelines offers immense potential, but it also introduces unprecedented security and governance challenges. How are organizations handling these new risks? Are they slowing down AI adoption due to security concerns, or pushing forward with innovative solutions?

Our latest survey report with Information Week dives into the actual experiences of industry leaders, highlighting the strategies that are working—and the pitfalls to avoid. Here are just a few of the findings covered in this report:

  • Only 48% of companies have an enterprise-wide policy for LLM or Generative AI (GenAI) technology usage
  • 68% of firms can’t or aren’t sure if they can detect where source code comes from when developers use LLM/GenAI tools in their workflows
  • Just 9% of organizations currently conduct both red teaming and threat modeling for AI software

If you’re ready to equip yourself with the knowledge that matters to tackle secure AI adoption, this report is a must-read. 

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Enhance Your AI Strategy: With Insights From Industry-Leading Research

AI/ML Adoption Trends and Attitudes

Does the adoption of AI match the hype? Review key statistics that reveal the current state of securing AI usage and inclusion in applications.

AI Governance Approaches

Discover the policies organizations have put in place to govern the usage of AI/ML in both business use cases - such as generating new code - and inclusion in new software.

MLSecOps Practices

What tooling and practices are orgs adopting to deliver a holistic program for securing AI/ML components and services across developer and data science environments.