Improve Security and Resiliency of
AI Applications and Infrastructure

AI Adoption Accelerates

Advancements in compute power have made the use of AI accessible to many of our customers.

Many large enterprises and service providers are implementing or experimenting with AI to improve customer experience and improve performance and productivity of their own networks.

The use of AI also comes with risks. Sensitive data is shared with AI models, on-prem or in the cloud, which creates an increased risk of security threats. AI applications are also deployed to launch a growing wave of attacks on mission-critical networks.

All this comes at a time when cyberattacks are already on the rise.

Why It Matters

Use of highly sensitive data creates increased security risk

Bad actors use AI to deploy attacks at scale

Performance and resiliency are key to successful deployments

A10 Continues to Enable Customers

A10 has used AI for years to deploy world-class DDoS mitigation for customers with the largest global mission-critical networks.

Protecting Data
and AI Apps

Protecting customers by mitigating cyberattacks targeting AI-based infrastructure, data and applications.

Preventing Cyberattacks with Predictive Insights

Using AI for predictive insights to prevent cyberattacks more effectively by analyzing the traffic posture and detecting anomalies to understand whether it is malicious.

Improving Resiliency with Predictive Performance

Detecting potential outages and taking corrective actions using early warning systems to prevent outages and improve the resilience and performance of the infrastructure.

Building AI-enabled Data Centers On-prem or in the Cloud

Developing next-generation platforms based on operating systems that include a complete AI stack, allowing seamless integration to meet performance and latency needs of AI traffic.