// built for the shift to preemptive cybersecurity

Enforce the finite good.
Prevent the infinite bad.

Every attack still has to execute. OnSystem Defender removes the execution surface it depends on — from what may run, to what applications may access, to how code reaches sensitive system APIs.

Request a scoped evaluation See how it works

Complements EDR/XDR Deterministic local enforcement Connected or air-gapped

// the market is moving to preemptive

50% of security spending by 2030.

According to Gartner®, preemptive cybersecurity technologies will account for more than 50% of IT security spending by 2030, up from less than 5% in 2024.

Source: Gartner, Inc., Gartner Says That in the Age of GenAI, Preemptive Capabilities, Not Detection and Response, Are the Future of Cybersecurity, September 18, 2025. Gartner does not endorse any vendor, product, or service depicted in this content.

// the endpoint is becoming the AI compute layer

The more intelligence moves to the endpoint, the more control must move with it.

Powerful workstations and servers are increasingly where models run, agents act, and sensitive business data is processed. The endpoint is becoming a high-value execution environment — not a disposable access device. Detection and response remain essential, but AI compresses the time between intent and execution, raising the value of local policy that can act the moment software runs.

More sensitive data moves closer to execution

Local models and AI-enabled applications need documents, source code, credentials, and proprietary business context to do useful work.

More software is trusted to act autonomously

Agents invoke tools, launch processes, manipulate files, use networks, and operate across applications with less direct human involvement.

Execution speed changes the requirement

AI-enabled software generates and chains actions at machine speed. Endpoint policy must act locally — without depending on prior recognition, cloud analysis, or human response.

// the execution gap

Your stack detects. Attackers execute.

Modern endpoint platforms provide powerful prevention, intelligence, investigation, and response. OnSystem Defender complements them by reducing the execution surface available to any threat — before protection has to recognize a particular attacker, payload, or technique.

Unauthorized code still needs to run

Malware, scripts, and attacker tooling can't act unless the endpoint gives them an execution opportunity.

Trusted apps become attack infrastructure

Attackers chain legitimate tools, misuse permitted resources, and operate through software organizations already rely on.

Visibility alone leaves the surface intact

OnSystem Defender doesn't only observe activity — it removes application, resource, and internal code-path opportunities that should never be available.

// complementary control depth

What each layer governs.

Strong endpoint programs combine technologies with different jobs. OnSystem Defender doesn't replace the controls you trust — it extends governance into execution surfaces they weren't designed to define.

Control	What it governs
EDR / XDR	Broad prevention, telemetry, intelligence, investigation, remediation, and response across the threat lifecycle.
Application Whitelisting	Which software may start, and which application-level resources or relationships it may use.
Runtime defenses	Exploit conditions, suspicious runtime techniques, or the assumptions an attacker relies on.
OnSystem Defender	Governance continuously — from application launch, through resource access, to the internal code paths permitted to reach sensitive APIs.

// systematic attack-surface reduction

Control what starts. Govern what happens next.

Each layer removes attack opportunities the previous layer can't reach — from the outer application boundary to sensitive system functions inside a running process.

Which applications may run

Application Whitelisting

Determine which applications, scripts, and executables may start. Unauthorized code never enters the execution environment.

What permitted software may do on the system

Application Execution Governance

Control process relationships, files, registry locations, and network destinations by application context — starting from out-of-the-box governance for the software categories already in modern environments.

In-memory code paths to sensitive APIs

Application Memory Control

Learn the legitimate internal code paths applications use to reach sensitive APIs. When code takes a path the application wasn't authorized to use, it's recorded or stopped — a layer conventional endpoint controls don't reach.

// ready to use

Begin with policy for the software categories already shaping risk.

OnSystem Defender includes out-of-the-box governance organized around recognizable application contexts. Administrators start from a considered baseline instead of designing process, file, registry, and network controls from scratch — including a dedicated context for AI-agent software.

AI agentsOffice applicationsBrowsersPDF readersDevelopment toolsRemote managementScript & command hostsAdministrative toolsServicesScheduled tasks

Out-of-the-box AI-agent governance. Apply explicit process, file, registry, and network controls to autonomous software through a dedicated policy context — then tailor the baseline and deploy it alongside Application Whitelisting and learned code-path policy.

// a layer conventional controls don't reach

Most controls stop at the application boundary. OnSystem Defender goes inside it.

Application control decides whether software may start. Containment limits what it may access. OnSystem Defender adds a distinct layer: governance of the internal execution routes permitted to invoke sensitive operating-system capabilities.

Legitimate code paths are learned automatically during representative use.
Learned relationships become explicit policy — not a live prediction about whether behavior looks malicious.
Runtime enforcement is local and deterministic, in connected and air-gapped environments.

// the difference is the path

The same trusted application. The same sensitive function. A different result.

The decision isn't based only on the application name or the destination API. OnSystem Defender also evaluates whether execution arrived through a learned and authorized internal route.

permitted route

Legitimate behavior continues

The trusted application reaches the protected function through an internal code path included in the approved execution model.

Same application. Same destination. Approved path.

unapproved route

Altered or injected execution is stopped

Code attempts the same function through a route outside the learned model. Policy records or blocks the deviation before the protected call completes.

Same application. Same destination. Different path. Deterministic result.

// learning without live-model uncertainty

AI assists the learning. Policy governs execution.

AI-assisted analysis makes deep code-path learning practical. During representative use it identifies recurring legitimate code-path relationships to sensitive APIs. Those become explicit, finite policy — runtime enforcement doesn't depend on asking a model whether activity appears malicious.

Observe

During representative use, OnSystem Defender observes the legitimate internal code-path relationships applications use to reach protected functions.

Define

Learned behavior becomes a finite, reviewable model of permitted execution — not a collection of opaque risk scores.

Enforce

Known paths continue. Unapproved paths are recorded or blocked by policy, without waiting to identify the attack.

// three moments, three stops

Remove the opportunity before the attack can use it.

Each control acts at a different depth. Together they reduce the usable attack surface far beyond a single endpoint-security mechanism — and none depends on recognizing the attack first.

moment 01

An unauthorized tool is placed

The executable reaches the endpoint but never gains permission to start.

Application Whitelisting: it doesn't run

moment 02

A trusted app reaches for a prohibited resource

It attempts an unauthorized process launch, file operation, registry change, or network connection.

Application Execution Governance: the relationship is cut off

moment 03

Code takes an unapproved internal path

The path toward a sensitive API falls outside the learned and authorized execution model.

Application Memory Control: execution stops at the boundary

// deep control without deep administration

The complexity lives in the product — not in the administrator workflow.

Administrators don't reverse-engineer applications, manually map code paths, or author sensitive-API relationships. Out-of-the-box governance for modern software categories, automatic code-path learning, and all three layers arrive through one review-and-deployment workflow.

automatic learning

Code-path learning runs automatically

During representative use, OnSystem Defender learns legitimate internal execution relationships without asking administrators to build them by hand.

reviewable policy

Administrators review one policy

Review application control and category-based governance — including the AI-agent context — alongside learned code-path controls, and choose audit or enforcement posture.

one-click deployment

Deployment is one click

Once approved, deploy all three layers through one unified policy.

// built before the market caught up

Years of work behind a problem the market is only now naming.

OnSystem Logic has been building toward this architecture since 2015, guided by a conviction: attackers would increasingly operate through trusted software and legitimate system capabilities, and recognizing malicious files or suspicious behavior would no longer be enough.

since 2015

Solving this since 2015

Building toward reducing the attack surface from application launch to internal code-path execution.

patent-backed

Patent-backed innovation

Multiple issued and pending security patents across the founding team's work.

consequential work

Trusted with hard problems

Founding-team experience includes advanced work for U.S. national-security organizations, plus commercial security technologies acquired by Symantec and McAfee.

connected or air-gapped

Local by design

Runtime enforcement stays local and doesn't depend on cloud analysis.

// complement the stack you already trust

Keep the intelligence. Reduce the opportunity.

OnSystem Defender isn't intended to replace the EDR or XDR platform your organization relies on. It adds an independent deterministic control layer that narrows the execution surface available to known and unknown threats. Fewer permitted actions mean fewer opportunities the rest of the stack must identify, investigate, and contain.

edr / xdr

Detect, investigate, respond

Broad prevention, telemetry, intelligence, investigation, hunting, remediation, and response.

onsystem defender

Reduce the execution surface

Attack-surface reduction from application launch, through resource access, to permitted internal code paths.

“After trying multiple whitelisting solutions over five years, OnSystem Defender is the only one we actually use and recommend to all our clients.”

— Angus Button · Co-Founder, Disruptech Technology Solutions (MSP)

// from the blog

Field notes on deterministic security

All resources

Article

What the SolarWinds hack revealed about EDR

Why ring-fencing fails and internal enforcement succeeds inside a trusted process.

OnSystem Logic · Article

Case Study

UMBC: friction-free endpoint protection

Two years of watching the product mature into a control they rely on.

OnSystem Logic · Case Study