Protect AI-Powered Apps
AI is evolving fast. Secure it at runtime.

GenAI and Agentic AI are turbocharging application development today, but they introduce new security risks. Secure your AI-powered apps by understanding how they behave at runtime.

Defend the Unpredictable

AI apps can be unpredictable, requiring real-time security detection against normal behavior. Oligo monitors AI components in real-time, alerting you to exploit attempts as they happen, so you can protect your AI Apps from model leakage, data exfiltration, and more.

Why Customers Use Oligo to Secure AI Apps

Beyond an AI-SPM

There’s a difference between understanding every AI tool your Dev team has evaluated, versus what’s actually being used. Skip the back and forth and have more productive conversations based in AI models being used now.

Theoretical → Real-Time

Traditional vulnerability scanning and application security tools don’t adequately defend GenAI against modern threats. Oligo monitors how AI libraries behave in real-time to catch attacks from the jump.

Lightweight Sensor

Oligo averages less than 1% CPU consumption, while other sensors require significant compute resources

Identify GenAI in First Party Apps

Developers are adopting GenAI at a rapid pace, making it hard to security teams to keep pace. Oligo identifieis which GenAI models are used at any given time, and whether or not they’re vulnerable.

Secure Production Workloads

Agentic AI can be unpredictable, requiring security teams to monitor workload activity in real-time to identify anomalous behavior. Oligo monitors production workloads and app activity to monitor for signs of suspicious outputs that introduce security risks.

Protect Inference Servers

Inference servers often rely on open-source software, which constantly introduces CVEs. Oligo goes beyond the theoretical, telling you not only whether inference servers have CVEs, but whether they’re exploitable right now.

Get Protected Today

Oligo takes minutes to deploy across your environment. Get started today.