Cisco AI Defense Solution Brief
As your organization dives deeper into developing AI-driven applications, the complexity of security requires a new approach. Traditional security controls may fall short in handling multi-cloud, multi-model AI infrastructures. Cisco AI Defense addresses this problem by offering a way to discover AI assets, detect vulnerabilities, and install strategic protective measures. Learn how to tackle emerging adversarial AI threats, closing security gaps that may leave your organization exposed. Benefit from Cisco AI Defense's ability to provide broad visibility and enforcement points across your AI attack surface. Contact us to learn more and start protecting your AI apps, tools, and data today.
What challenges do existing security controls face with AI?
Existing security controls often encounter visibility gaps due to the multi-cloud and multi-modal nature of AI infrastructure. Additionally, AI models are non-deterministic, necessitating continuous assessment and validation. There are also emerging adversarial AI threats, such as prompt injections and jailbreaking, which require a new approach to security.
What are the core components of Cisco AI Defense?
Cisco AI Defense consists of three core components: AI Cloud Visibility, which identifies AI assets in cloud environments; AI Model and Application Validation, which uses algorithmic red teaming to quickly identify vulnerabilities; and AI Runtime Protection, which secures AI applications with adaptive guardrails against emerging threats.
How does Cisco AI Defense align with industry standards?
Cisco AI Defense helps organizations stay ahead by aligning with evolving standards such as the NIST AI Risk Management Framework, MITRE ATLAS, and OWASP Top 10 for LLM. The AI Defense team actively contributes to these frameworks, ensuring that organizations are prepared for emerging regulatory and industry requirements.
.gif "IT Doctus")
Sign in with LinkedIn