Insecure AI tools can be far more dangerous than the average piece of buggy enterprise software. If you’re not careful when choosing your model, preparing your training data, and more, your fresh new AI tool might leak confidential data, generate hallucinations, expose your organization to new attacks, and worse. In this session, learn how to secure AI during the DevOps lifecycle. Learn how to discover your entire AI ecosystem, assess any posture and model risks, and implement security at runtime.

How can IT leaders ensure that their own organizations and their service providers are using AI responsibly, ethically and without bias? Trick question: They can’t. But with transparency on ethical AI practices, data privacy and machine learning models, we can remain on the side of the angels with this powerful new gamechanger.

The rampant and fast-growing use of generative AI for code development has highlighted potential gaps between developers’ appetites to leverage these tools in stark comparison with security professionals’ readiness to manage the security implications of their use. Join Snyk on how organizations can better prepare themselves to adopt generative AI practices, including:
The need for governance and safeguards for how developers are using gen AI tools
Where perspectives align and differ with regard to use of gen AI tools across different roles in organization
Why its key for AppSec teams to have proper tooling and processes in place to ensure adherence to policies and avoid a spike in insecure code
How CISOs can balance the use of generative AI tools from both a productivity and security standpoint

Organizations are building AI applications at lightning speed. 30% of enterprises deploying AI experienced a breach. This surge of innovation is creating a landscape riddled with blind spots. The old approach of relying on scattered point solutions simply can’t keep pace, leaving organizations exposed and struggling to identify and remediate against new threats evolving at machine speed. Deploy bravely with a platform that secures your AI ecosystem at every step.

Introducing Prisma AIRS – one platform to secure all AI apps, agents, models and data. Join this webinar to understand the threats lurking in your AI ecosystem and how Prisma AIRS enables end-to-end AI security.

Watch now to discover how Prisma AIRS empowers you to deploy AI bravely and see a live demo of the latest AI security innovation.

While AI is changing how we interpret data, manage and allocate resources and even look at photos with a critical eye, we have yet to realize the many opportunities for organizations of all size to innovate faster. Hear from a panel of experts on their views for potential use cases, models, and machine learning infrastructures.

AI agents are already shaping how businesses operate, automating tasks, making decisions, and interacting with users in increasingly sophisticated ways. Their potential is huge, but so is the risk.

Join us as we explore the evolving AI agent landscape, their security risks, and the essential controls needed to build AI agents securely.

What you’ll walk away with:
• Understanding AI Agents – What they are, how they work, and why they matter for businesses.
• Security Risks & Challenges – The top threats AI agents introduce.
• How to Secure AI Agents – Best practices and security controls to mitigate risks and build trust in AI-driven systems.