Secure the infrastructure that powers intelligence.
From the host kernel to the model-serving layer, Opsonance provides lightweight, adaptive runtime defense across the infrastructure that trains, serves, and powers AI.
AI doesn't run in one place. Neither should security.
Modern AI infrastructure is a layered ecosystem. Models, agents, data, tools, and inference workloads depend on a distributed foundation of compute, containers, networking, storage, and identity.
Opsonance sits close to the workload.
Modern AI architectures—from massive training clusters to distributed inference endpoints—are incredibly complex. Relying on perimeter defenses or static API gateways leaves dangerous blind spots where the actual execution happens.
Instead of scanning from the outside, lightweight patrol agents operate directly across the hosts, containers, and orchestration layers supporting your AI stack, intercepting behavior at the kernel and runtime levels.
A local Synapse control plane actively coordinates this distributed observation, correlating granular telemetry to provide absolute visibility and immediate, surgical enforcement exactly where the threat is executing.
This allows Opsonance to observe what AI infrastructure is actually doing—not simply what it was configured to do.
AI infrastructure behaves differently. Security should too.
AI workloads are not ordinary applications. They operate with massive compute resources, access sensitive datasets, communicate with external services, and increasingly execute actions autonomously.
Opsonance provides runtime visibility across:
LLM inference servers
Protect the infrastructure serving models and handling inference requests.
GPU workloads
Monitor the processes and workloads consuming high-value GPU infrastructure.
AI agents
Observe the infrastructure that agents execute within and the capabilities they acquire.
Model pipelines
Protect training, fine-tuning, evaluation, and model-serving environments.
Vector DBs & Knowledge stores
Detect unauthorized access and suspicious data movement.
Kubernetes AI clusters
Protect containers, nodes, services, and workloads across distributed environments.
When the infrastructure changes, the defense changes with it.
AI infrastructure is dynamic. Containers start and disappear. Agents spawn processes. Workloads scale across nodes. Models move between environments. Opsonance adapts its defensive coverage around emerging risk.
Concentrate defense where risk emerges.
Traditional security assumes all infrastructure carries equal risk at all times, leading to massive agent overhead. But risk is not uniformly distributed—it shifts dynamically based on workload behavior.
A suspicious state transition—whether it's an unexpected outbound connection, a privilege escalation attempt, or an anomalous process spawn—instantly changes the risk calculus.
Opsonance dynamically pulls deep inspection resources from stable environments and concentrates them exactly where the threat is unfolding. This triggers immediate, surgical investigation around the affected workload, host, identity, or communication path.
Security coverage shouldn't remain static while your infrastructure changes.
Secure AI wherever it runs.
AI deployments increasingly span distributed Kubernetes clusters, cloud infrastructure, private environments, and hybrid architectures.
Lightweight where possible. Deep where necessary.
Traditional security imposes an unacceptable performance tax. Requiring a heavyweight stack on every GPU node throttles inference speed and consumes expensive cycles.
Opsonance uses asymmetric deployment. A frictionless, ultra-lightweight patrol monitors baseline activity globally. Upon detecting an anomaly, it acts as a tripwire—summoning deep-inspection capabilities only to the exact nodes under duress. Maximum depth, zero systemic drag.
Deploy across the infrastructure layer and unify visibility without compromising performance.
AI infrastructure needs a new security model.
Traditional security was designed around relatively stable workloads and predictable application behavior. AI infrastructure is dynamic, distributed, computationally intensive, and increasingly autonomous.
Opsonance brings together:
Adaptive Coverage
Distributed stochastic patrol across your infrastructure.
Bottom-Up Detection
Investigate consequential state changes and reconstruct their causes.
Runtime Enforcement
Detect and respond close to where attacks execute.
AI-Aware Context
Understand models, agents, data, credentials, and AI workloads as part of the security graph.
Resource Efficiency
Use lightweight distributed defense instead of placing heavyweight continuous observation everywhere.
Dynamic Boundaries
Adapt defensive boundaries dynamically as Kubernetes pods and inference nodes scale up and tear down.
Cross-Layer Correlation
Map isolated network anomalies directly back to the specific GPU, container process, or memory thread.
Automated Quarantine
Instantly sever rogue workload communication channels without disrupting sibling processes.