Secure your AI at every step - apps, agents models and data

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 rapidly.

During this webinar you’ll learn how to:

• Enable safe adoption of AI models by scanning them for vulnerabilities.
• Gain insight into security posture risks associated with your AI ecosystem such as excessive permissions, sensitive data exposure, and more.
• Uncover potential exposure and lurking risks before bad actors do. Perform automated penetration tests on your AI apps and models.
• Protect your LLM-powered AI apps, models and data against runtime threats such as prompt injection, malicious code, toxic content, sensitive data leak, resource overload, hallucination, and more.
• Secure agents — including those built on no-code/low-code platforms — against new agentic threats such as identity impersonation, memory manipulation, and tool misuse.

Empower your organization to deploy AI bravely, ensuring the security of your AI innovations.