Oligo Security

Oligo Security is a runtime security platform for applications, cloud workloads, and AI systems. It is best suited to security teams that need to prioritize risk based on what is actually running and respond to suspicious activity in production. Its breadth across vulnerability management, threat detection, and AI monitoring is compelling, but custom pricing and possible AWS infrastructure charges warrant a cost check before deployment.

Overview

Oligo connects runtime visibility with vulnerability prioritization and response. Its sensor identifies libraries and functions executing in workloads, helping teams distinguish active exposure from components that are present but not running. The company claims this approach can reduce vulnerability noise by up to 95%; that could help teams focus remediation, though the claim is not a substitute for evaluating how the platform fits a particular environment.

Alongside vulnerability management, Oligo monitors application behavior using eBPF, can identify affected containers, pods, and code paths, and supports blocking or alerting on suspicious activity. The same runtime focus extends to AI models and agents in production.

Key features

Runtime vulnerabilities and response

The sensor maps executing libraries and functions so security teams can prioritize vulnerabilities that are loaded into memory. An API can filter vulnerability results by parameters such as CVE or cluster, useful for teams organizing investigation by issue or environment. Runtime monitoring detects behaviors including unexpected system calls and data exfiltration; Oligo can block malicious functions and alert on unauthorized external network connections.

Oligo says its sensor requires no user instrumentation or code changes and has less than 1% performance impact. That stated overhead and deployment approach may suit teams seeking runtime context across both Kubernetes-based cloud applications and older on-premises applications. The platform also describes support for PCI 4.0 controls and FedRAMP risk adjustments using evidence about whether vulnerable libraries are loaded or executed.

AI security and integrations

AI-SPM discovers production AI models, agents, SDKs, frameworks, and external AI services, then produces a continuous AI bill of materials. AI-DR observes agent tool calls and correlates LLM calls with the processes behind them. Oligo says it protects open-source AI models, LangChain and Hugging Face frameworks, and agent workflows against exploits, model tampering, and unauthorized data leakage. Slack and Jira notifications, webhooks, and the API provide ways to connect findings to existing workflows.

Pricing

Oligo uses a paid pricing model with custom pricing; its product pages direct prospective customers to book a demo. The Oligo Runtime Security Platform plan is free, with free subscriptions that have no end date and may be canceled any time. Additional AWS infrastructure costs may apply, so the free subscription does not necessarily mean a zero-cost deployment. No seat or usage quota is provided for this plan.

The free subscription is the lower-commitment way to start, while teams evaluating a paid deployment should request a quote and account for possible infrastructure charges. AWS Marketplace says 24x7 global vendor support is available to all customers.

Platforms

Oligo supports API, Linux, self-hosted, and web environments. Its cloud coverage is hybrid, and it supports workload detection, container detection, and automated response. This combination makes it relevant to teams spanning cloud and on-premises workloads rather than those seeking a single-platform point solution.

Who it's for

Oligo is aimed at security leaders and SecOps, AppSec, and CloudSec professionals. It is a stronger fit for teams that want runtime evidence to prioritize vulnerable libraries and combine that work with production threat response or AI workload visibility. Teams that need a published paid price before assessing a product, or that do not need runtime-focused security, should compare other approaches.

Pros and cons

Pros: Runtime visibility helps distinguish executing vulnerable code from merely present libraries, and the company claims up to 95% less vulnerability noise.

Pros: Detection, process-level context, and blocking or alerting capabilities bring investigation and response into the same platform.

Pros: AI-SPM and AI-DR extend inventory and monitoring to production AI models, services, and agent activity.

Cons: Paid pricing is custom, so teams must engage with sales to establish product cost.

Cons: AWS infrastructure costs may apply even with the free subscription, complicating a no-cost evaluation.

Alternatives

For a broader comparison, see Cloud Detection and Response Software.

CrowdStrike Falcon Surface is worth considering if a free trial matters; it has no free plan, runs on Linux, macOS, web, and Windows, and its Falcon Exposure Management plan requires a demo for pricing.

Amazon GuardDuty may suit readers who prefer pay-as-you-go billing: its free plan is free, with charges based on analyzed volume and varying by data source and AWS Region after the 30-day free-trial period.

SentinelOne Singularity Cloud Security is another paid option, with commercial and complete plans billed per endpoint and different data-retention periods.

Sysdig Secure is an alternative for teams whose licensing needs are based on the number of hosts in their environment.

Palo Alto Networks Cortex Cloud API Security is another paid option for API, Linux, and web platforms.

Red Hat OpenShift Pipelines may be relevant to teams evaluating OpenShift subscriptions, with pricing varying by edition, sizing, and subscription choices.

ARMO Platform offers a free plan and trial; its data engine is Kubescape, an official CNCF project maintained by ARMO.

FortiCNAPP offers Standard subscriptions with one- or three-year billing and entitlement per vCPU.

Verdict

Choose Oligo if your security team needs runtime evidence to prioritize vulnerabilities and wants detection, response, and AI workload visibility in one platform. Its central advantage is connecting what is executing to what deserves attention; look elsewhere if a transparent paid price or a deployment with no potential AWS infrastructure cost is essential.