Vulnerabilities describe possibility.
Runtime behavior shows reality.

Opsonance observes runtime behavior where attacks eventually have to execute: inside processes, containers, workloads, networks, and the Linux kernel.

Ring 0 Visibility

Detect Behavior at the Execution Layer.

AI and modern security tooling are making vulnerability discovery increasingly automated. But a secure build can still become compromised through stolen credentials, supply-chain attacks, configuration errors, zero-days, malicious insiders, or unexpected execution paths.

Every one of those paths eventually has to do something at runtime. It has to execute, request a privilege, touch a file, or open a connection — and each of those actions crosses the syscall interface into the kernel.

Opsonance focuses on what is actually happening in Ring 0: kernel space.

RING 3 — USER SPACE
SaaS
AI Agents
Web Apps
LLMs
Cloud Workloads
SYSCALL INTERFACE
RING 0 — KERNEL SPACE
OPSONANCE

High-Value Signals

Context Over Noise.

More telemetry does not automatically produce better security. Opsonance is designed to prioritize high-value runtime signals and escalate suspicious behavior for deeper investigation.

Four signal domains. One runtime picture.

Process Behavior

Process creation, execution chains, privilege transitions, and unexpected process relationships.

Block fileless malware and unauthorized execution paths in under 1 millisecond directly at Ring-0.

Process Behavior

System Activity

Kernel-level runtime events provide visibility into how workloads interact with the operating environment.

Achieve absolute threat visibility while reducing traditional agent compute overhead by up to 90%.

System Activity

Network Behavior

Identify unexpected runtime communication and suspicious changes in workload network behavior.

Instantly trap lateral movement and data exfiltration without throttling your cloud egress bandwidth.

Network Behavior

Workload Context

Correlate runtime signals with node, container, workload, and policy context.

Autonomously deploy ephemeral drop-pods to instantly freeze and extract compromised namespaces.

Workload Context

Orchestrated by Nekron AI

Cognitive Threat Detection.

Running heavy machine learning directly on execution nodes throttles CPU and introduces interdiction latency. Opsonance decouples intelligence from enforcement.

Zero-Latency Enforcement

Nekron handles the computational weight of behavioral analysis asynchronously in the cloud and distills it into lightweight, deterministic policies. Your eBPF Sentinels execute binary decisions at Ring 0 in nanoseconds.

Global Behavioral Immunity

By analyzing deduplicated forensic logs across the fleet, Nekron continuously learns from novel attacks. When a new threat is identified, an updated Global Policy is pushed to every deployment.

Nekron AI Brain
NEKRON AI (CLOUD)
Asynchronous Deep Learning & Policy Generation
SYNAPSE
Policy Translation & Egress Deduplication
Ring-0 Node
Ring-0 Node
Ring-0 Node
Deterministic eBPF Enforcement (< 1ms latency)

Graduated Response

Watch Silently. Strike Instantly.

Rather than blanketing infrastructure with heavy, static inspection, Opsonance observes silently and escalates dynamically — deploying targeted forensic actions and surgical containment exactly where the attack is happening.

When risk escalates, security workload escalates with it.

Observe

Maintain zero-overhead visibility across your infrastructure. Intelligent patrol agents silently monitor baseline activity without impacting workload performance.

Increase Telemetry

Escalate inspection depth the moment an anomaly is detected. The system dynamically captures granular forensic data to analyze suspicious behavior in real time.

Restrict Capability

Dynamically strip non-essential permissions from a suspicious workload. This instantly limits the potential blast radius while allowing safe, core operations to continue uninterrupted.

Block Specific Actions

Surgically neutralize the exact attack vector without disrupting the surrounding environment. Agents instantly deny dangerous system commands or drop malicious network traffic at the edge.

Isolate Workload

Sever the compromised container from your broader infrastructure. The workload is contained for live forensic analysis, physically preventing any lateral movement or data exfiltration.

Revoke Identity

Instantly invalidate the compromised workload’s access credentials. This immediately cuts off its ability to communicate with critical cloud services, APIs, or internal databases.

Kill Process

Terminate malicious execution directly at the source. The system ruthlessly shuts down the offending activity while allowing the rest of the host machine to function normally.

Quarantine Node

Lock down the entire host to prevent a cluster-wide breach. The machine is instantly cordoned off from the network, preserving its exact state for deep incident response and remediation.

From Signal to Intent

Understand What the Event Is Becoming.

An isolated runtime event rarely tells the complete story. A process spawning a shell may be legitimate. A privilege transition may be expected. An outbound connection may be normal.

The threat emerges when individually legitimate actions form an abnormal execution sequence. Opsonance correlates runtime signals across process, identity, filesystem, network, privilege and workload context to determine whether activity is a meaningful deviation from expected behavior.

One event is noise. A sequence is evidence.

Signal Becomes Decision

PROCESSProcess starts
↓
IDENTITYPrivilege context changes
↓
EXECUTIONUnexpected interpreter runs
↓
NETWORKNew external connection
↓
RESOURCESensitive data accessed
↓
DECISIONIntervention threshold crossed

Behavioral Context

Context Turns Telemetry Into a Decision.

Instead of treating each event as an independent alert, Opsonance builds runtime context around the whole sequence — and that changes the question the system is asking.

The question changes

“Did something unusual happen?”

“What is this behavior attempting to do?”

That distinction lets the system escalate security only when runtime evidence justifies it.

BEHAVIORAL CONTEXT

ProcessWhat executed?
IdentityWho or what initiated it?
PrivilegeWhat capabilities changed?
NetworkWhere did it communicate?
WorkloadWhat environment was affected?
HistoryWhat happened immediately before it?
IntentWhat is this sequence attempting to accomplish?

Every signal is read in context.

Attack Reconstruction

Attacks Are Sequences. Detection Should Be Too.

Modern attacks rarely arrive as a single malicious event. An attacker may begin with a compromised credential, execute a legitimate interpreter, escalate privileges, discover the environment, access sensitive resources and establish an outbound connection.

Each individual action can appear deceptively ordinary. The danger exists in the relationship between them, so Opsonance reconstructs runtime activity as an evolving execution chain.

Instead of producing seven disconnected alerts, the system reasons about how the events relate.

FROM EVENTS TO ATTACK PATH

INITIAL EXECUTION
↓
PROCESS CREATION
↓
PRIVILEGE TRANSITION
↓
SECRET ACCESS
↓
LATERAL MOVEMENT
↓
COMMAND & CONTROL
↓
PERSISTENCE / IMPACT

Seven events. One attack path.

Runtime Attack Graph

See the Path. Stop the Path.

Every event is placed in a continuously evolving runtime attack graph: who acted, what they did, where it happened, when it happened relative to everything else, and why the chain appears to exist. When behavior crosses a defined risk threshold, Opsonance escalates from observation to intervention.

1
Observe
Capture runtime events
2
Correlate
Link them into a chain
3
Understand
Infer the objective
4
Interdict
Break the path

The goal is not another alert in a crowded SOC. It is to establish why the behavior matters before the attack reaches its objective.

Runtime Attack Graph

WHOIdentity, service account, workload or process
↓
WHATProcess, syscall, file, credential or network action
↓
WHEREContainer, node, namespace or workload
↓
WHENTemporal relationship between events
↓
WHYBehavioral objective inferred from the chain

Defensive Uncertainty

Security the Attacker Cannot Easily Map.

Modern attackers do not only exploit applications. They probe the environment itself: which processes exist, which privileges are available, which controls are present, and which actions produce a response. Automation makes that probing cheap.

Continuous visibility isn't the same as continuous predictability.

Persistent Monitoring
FIXED INTENSITY
Monitor
Monitor
Monitor
Monitor
Monitor
A static control can be modeled and optimized against.
Adaptive Patrol
RISK-DRIVEN INTENSITY
Observe
Inspect
Escalate
Deep Inspect
Interdict
Intensity shifts with runtime risk. The attacker's model fails.

Adaptive Control Loop

Adaptation Becomes the Defense.

The attacker may know Opsonance is deployed. The objective is to make it substantially harder to predict:

  • when deeper inspection will occur
  • where additional inspection will be allocated
  • which behavioral signals will trigger escalation
  • how the defense will respond to a particular sequence

An attacker can attempt to model a static control. It becomes far harder to optimize against a defense whose observation and response intensity adapt to the environment.

The objective is not to watch everything with equal intensity. It is to respond where risk is actually developing.

Security Intensity Follows Evidence

NORMALLightweight observation
↓
DEVIATIONIncrease telemetry
↓
SUSPICIONDeep runtime inspection
↓
THREATRestrict capability
↓
CONFIRMED ATTACKInterdict
↓
POST-INCIDENTEvidence feeds the model ↻

Don't alert on the event.
Understand what it is becoming.

Observe. Correlate. Understand. Interdict.
Runtime Detection & Response by Opsonance