Legion is a browser-native AI SOC analyst that learns what your analysts do and scales them. It trains within your organization, observing your team's investigations, learns their patterns, and helps improve them. Then, it automates them at your own pace, at any scale, and without requiring any integrations or APIs.
Highlights
A lightweight browser extension that watches how analysts actually work, captures the decision paths and tool usage, and then builds automation tailored to your processes.
Phased autonomy in three modes: "Learning Mode" (learning analyst workflows), "Guided Mode" (AI does investigation with human oversight), and "Autonomous Mode" (fully automated investigations and workflows).
Reduce MTTR/MTTA by up to 90% in some cases, saving north of 1,700 hours of investigative time, and the equivalent of 9 FTEs
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Legion Security uses a single contract pricing model. You buy the Legion AI SOC as an annual contract, billed by units. This is one flat option rather than a set of tiers, instance sizes, or usage add-ons. You commit for a 12-month term, and you can configure the quantity of units to match your needs. Pricing scales with the number of units you purchase. There are no separate usage-based charges or optional add-on dimensions on the Marketplace listing. For scope or quantity questions specific to your team, contact the vendor.
Top-of-mind questions for buyers
What does one unit of the Legion AI SOC annual contract represent for billing?
The Marketplace lists the product in units under a 12-month contract. The listing itself does not spell out what one unit maps to, such as a seat, analyst, or environment. For an exact unit definition and how it maps to your team size, contact the vendor before purchase.
Does buying the contract require me to integrate Legion with my existing security tools first?
No. Legion runs through a browser extension and requires no integrations or API connectors. It observes analyst activity in the browser to learn your workflows. You control what it records using start/stop controls, browser allow lists, and masking rules for sensitive data.
Is the annual contract a fixed commitment, or does my cost change with usage during the term?
The Marketplace offers one contract dimension billed by units for a 12-month term. Cost scales with the number of units you buy, not with runtime or usage volume. There are no separate usage-based charges or add-on dimensions on the listing. You configure unit quantity when you purchase.
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Attack Surface Management (ASM) is important because it helps to prevent and mitigate risks stemming from legacy, IoT, and shadow IT assets. ASM solution is a top priority for CIOs, CTOs, CISOs, and security teams.
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Rocky Linux, for use with Adaptive Computing's Heidi AI Cloud Supercomputer. It includes over 100 HPC and AI/ML tools, a VNC-based remote desktop environment, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS and Heidi, along with Julia. The HPC stack features numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), and HPC applications (CP2K, deal.II, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce). Default SSH user on this image is `rocky`.
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu and Rocky Linux, using AWS ParallelCluster, with over 100 HPC and AI/ML tools, an optional Amazon DCV remote desktop on the cluster head node, and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, SGLang, TensorFlow, and vLLM tuned for AWS ParallelCluster, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), visualization tools (ParaView, VisIt), performance evaluation tools (HPCToolkit, TAU), HPC applications (CP2K, GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).
This product has charges associated with it for optional seller support and pre-configured stack (ParaTools Pro for E4S™). ParaTools Pro for E4S™ is the hardened Extreme-scale Scientific Software Stack on Ubuntu, using AWS Parallel Computing Service (AWS PCS), with over 100 HPC and AI/ML tools, a remote desktop environment (Amazon DCV), and cluster configuration built using the Spack package manager and a proprietary MVAPICH-Plus 4 MPI tuned for AWS Elastic Fabric Adapter (EFA). Develop AI/ML applications using tools such as JAX, Keras, NVIDIA BioNeMo, NVIDIA NeMo™, PyTorch, TensorFlow, and vLLM tuned for AWS Parallel Computing Service, with a complete HPC software stack including numerical libraries (PETSc, SuperLU-dist, Trilinos, WRF), performance evaluation tools (HPCToolkit, TAU), HPC applications (GROMACS, LAMMPS, OpenFOAM, Quantum Espresso, WarpX, Xyce).