LogicRiver  ·  CyberOS  ·  The Force Multiplier for Modern Security Programs

The operating system
for the security program.

Every security organisation rebuilds the same foundation, reaches about half the capability it needs, and stalls — blocked by people it cannot hire. You cannot out-hire that problem. You can only multiply the team you already have: canonical knowledge the program inherits rather than writes, a live graph of every relationship, risk stated in dollars, and AI defence woven into the fabric instead of bolted on.

The problem

Four root causes,
not a thousand symptoms.

Every CISO fights the same four. Attack the symptoms and you drown; attack these and hundreds of downstream problems dissolve at once.

Speed

Technology and the appetite for change move faster than security can absorb.

Complexity

Hundreds of thousands of vulnerabilities, thousands of vendors, endless (X)aaS and compliance regimes.

Visibility

Thousands of moving parts across people, process and technology — all in motion at once.

Justification

No scientific way to prove the resources genuinely required to manage the risk.


The Force Multiplier

One platform. Exponential impact.

A force multiplier is anything that lets a given force accomplish more than its size should allow. That is the entire design brief. CyberOS amplifies every member of the security team, turning fragmented effort into coordinated operations across the same four axes the problem is made of — and the multiple is different on each.

The multiple, by pillar

10xSpeedFaster vendor evaluation, AI-assisted operations, pre-built frameworks.
1/5thComplexityOne platform replaces the point-tool sprawl; a canonical knowledge base simplifies every decision.
360°VisibilityConnected Mind graph, real-time program mapping, cross-entity discovery.
FAIR+JustificationMonte Carlo risk modelling, TCO/ROI, and digital-twin simulation for every investment.

Consolidation

What the iPhone did to the gadget drawer.

One platform absorbs the sprawl of point tools, manual work and redundant spend that every security organisation juggles today. Dematerialisation: doing more with dramatically less.

✕ Redundant point tools ✕ Duplicate dashboards ✕ Spreadsheet risk registers ✕ Siloed GRC tools ✕ Standalone training platforms ✕ Manual status reporting ✕ Paid blog subscriptions ✕ Manual asset inventories ✕ Fragmented vendor management ✕ Disconnected threat feeds ✕ Scattered documentation ✕ Ad-hoc outside consultants

consolidates into

One ecosystem. One source of truth. Improving daily.

Twelve unified modules on a persona-aware, multi-tenant foundation — knowledge, AI operations, risk and compliance, and the federated ecosystem around them.

See the twelve modules →

The AI inflection

Attackers automated overnight.
Defenders cannot out-hire it.

Agentic AI is now rated the number-one emerging threat vector, and it arrived on both sides of the line at once. The answer has to be AI-native — a platform with AI reasoning and AI defence in the operating fabric, not a chatbot bolted onto a legacy tool.

40%By 2026of enterprise applications embed AI agents — a brand-new attack surface.
<2 hrsBlast radiusfor a compromised autonomous agent to gain broad system access.
$4.63MShadow AIaverage cost of a shadow-AI breach — $670K above the norm.
16%And climbingof breaches now involve attackers using AI.

See value in under five minutes.

Three industry-specific demonstration organisations are loaded and ready to explore — technology, financial services, healthcare.

The platform

Twelve unified modules.
One system.

The Cybersecurity Control Plane: one orchestration layer that manages, connects and amplifies every function a security program runs on — built on people, process and technology rather than on a tool category.

Persona-aware, multi-tenant platform · CISO · Director · Manager · SME · Analyst

Knowledge
  • Golden ImageCanonical, community-maintained knowledge base — versioned, forkable, contributable.
  • Connected MindA live graph of everything: personas, solutions, processes, topics and how they touch.
  • Capability TaxonomyDomain → Area → Capability → Feature, mapped to solutions and framework controls.
AI operations
  • AI MarketplaceSeven role-adapted projects, from threat intel to board reporting.
  • Persona-Aware AIOne prompt, five outputs — depth and framing adapt to the reader's role.
  • AI DefenceAI manipulation defence: prompt injection, jailbreaks, AI-assisted exfiltration.
Risk & compliance
  • FAIR Risk ModelMonte Carlo quantification with P10 / P50 / P90 annual loss expectancy.
  • Digital TwinSimulate a change against the estate as it actually is, before anything ships.
  • Framework ComplianceAutomated control mapping across NIST CSF, SOC 2, ISO 27001 and more.
Ecosystem
  • Vendor PortalKYB-verified buyer–seller matching with pre-mapped capabilities and questionnaires.
  • CyberNetTrust-weighted collaborative threat intelligence across organisations.
  • RASCI EngineResponsibility mapping generated from the org and its processes, not typed by hand.

Underneath: a cybersecurity-centric LLM/SLM reasoning layer across every module, on a multi-tenant secure foundation — row-level security, audit logging, type-safe end to end.


Orchestration

What the control plane actually changes.

Eight things every security program does badly because they live in eight different places — and what each becomes once one layer owns them.

Scattered knowledge silos→Orchestrated — a canonical, community-maintained knowledge base
Disconnected tools & dashboards→Orchestrated — one live graph of every relationship
Manual compliance cycles→Orchestrated — automated mapping across eight-plus standards
Qualitative risk guesswork→Orchestrated — Monte Carlo financial models the board can read
Reactive security posture→Orchestrated — simulate every change before it ships
Unguarded AI interactions→Orchestrated — fail-closed defence across every AI touchpoint
Fragmented vendor relationships→Orchestrated — a structured evaluation portal with AI assist
Isolated organisational effort→Orchestrated — a federated network that compounds value

Persona-aware AI

One prompt.
Five answers.

The same question, asked once, returns what each role actually needs — executives get the decision, analysts get the commands. This is the force multiplier at the scale of a single person's afternoon.

CISO

Executive summary up front, ROI focus, high-level strategic view.

Director

Balanced strategic and tactical view with resource implications.

Manager

Operational impact, team considerations, actionable next steps.

SME

Technical detail, configurations, deep-dive analysis.

Analyst

Step-by-step procedures, specific commands, runbooks.

Connected Mind & the digital twin

See how everything connects — then test the change before you make it.

Personas

Who owns what

Solutions

What tools you have

Processes

How work gets done

Topics

What you need to know

Digital twin simulation

Before adding an application or a tool, simulate the impact: required capabilities, affected personas, process updates, compliance implications, estimated cost, and an auto-generated RASCI matrix. Both simulators are deliberately inert — every analysis is a read, so nothing modelled is written back into the estate.

Four-level capability taxonomy

Domain → Area → Capability → Feature mapping that shows which solutions cover which capabilities, where the gaps are, and which framework controls are satisfied by each.


Resilience & incident command

When it goes wrong, the platform
already knows what depends on what.

Most programs discover their dependency map during the incident, from people recalling it out loud. CyberOS holds the estate as a graph the rest of the year, so restoration order, approval authority and blast radius are already answered when the clock starts.

01SignalSomething is detected or reported
02DeclarationRequested, then made by a person
03AssessmentClassification and response strategy
04RecoverySequenced waves, eviction window
05Close-outReport, and the change that caused it

Incident command

A declaration is made by a person, never by a threshold alone. From there the incident carries triage clocks, a life-safety flag, a classification and a response strategy — and command runs in formal operational periods, each with objectives, an approval, a situation report at every boundary, and a clean transfer of command when the next commander takes over.

Recovery sequencing

Restoration order is derived from real dependency edges, not from a runbook written last year. Waves sequence themselves from hard dependencies, individual edges can be relaxed as a deliberate decision on the record, and an eviction window opens and closes before anything is trusted again.

Playbooks that actually run

Playbooks compose from a backbone plus overlays against a real business service, then execute under approval, with steps, templates and full run history. Not a PDF that nobody opens while the pager is going.

Services with derived objectives

Every business service carries an owner, a trust zone, assigned capabilities and recovery objectives derived from the estate — so RTO and RPO describe what would actually happen rather than what a binder once claimed.

Change control, correlated

Change records carry four paths, approval authority derived from who may actually approve what, and freeze windows. When an incident traces back to a change, the two are linked — so the post-incident review opens with the answer instead of hunting for it.

Architecture you can test against

Trust zones derived from the estate with provenance on every edge, reference patterns showing which controls each one answers, and a simulator that runs a proposed change against the estate as it actually is. The simulators are deliberately inert: every analysis is a read, so nothing modelled is ever written back.


Compliance

Eight-plus frameworks, mapped continuously.

Automated control mapping and coverage scoring — control status stays live rather than being reassembled at audit time.

NIST CSF

Full control mapping

SOC 2

Coverage scoring

ISO 27001

Implementation tracking

PCI-DSS

Requirement mapping

FedRAMP

Baseline alignment

HIPAA

Healthcare compliance

MITRE ATT&CK

Tactic mapping

CIS Controls

Control alignment

Crosswalk

Every platform activity mapped against every framework, each citation's standing shown


Architecture

Multi-tenant by construction.

Tenancy is resolved from the host header in middleware and blocked before any procedure runs — isolation is a property of the database, not a convention in the application code.

Isolation tiers

Shared

Row-level security in PostgreSQL

Schema

Separate schema per tenant

Database

Dedicated PostgreSQL instance

Security controls

Row-level security — database-enforced tenant isolation Defence in depth — ownership verified on every mutation Type-safe end to end — Zod + tRPC Input validation via Drizzle ORM XSS prevention Audit logging on every mutation, with tenant context Identity-invariant testing — automated cross-tenant verification

Quality gates

100% identity tests  ·  zero type errors  ·  no HIGH or CRITICAL findings  ·  WCAG 2.1 AA


Governance

The Wikipedia model, with reviewers who have earned it.

Two SME reviewers, a seven-day review window, and a 70% approval threshold stand between a contribution and the Golden Image.

01Draft
02Peer review
03Approval
04Merged

Reputation tiers

Viewer 0+ Contributor 100+ Reviewer 500+ Domain SME 1000+

Inspired by Wikipedia, Stack Overflow and GitHub: contributors earn reputation through accepted contributions, peer reviews and quality work. Badges: Domain Expert, Quality Champion, Timely Reviewer, Mentor, Curator.

AI-native by design

AI woven in.
Not bolted on.

CyberOS was built so that AI reasoning, automation and defence are native to the operating fabric — which turns the AI threat wave from the platform's biggest risk into its sharpest advantage.

The differentiator

AI Defence — manipulation defence for every AI touchpoint

Purpose-built detection for prompt injection, jailbreaks and AI-powered exfiltration: 16 input threat patterns, 6 output monitoring types, real time, tenant-scoped analytics. It defends against exactly the agentic and prompt-injection attacks that now top the 2026 threat charts — defence the incumbents do not have.

16 input threat patterns 6 output monitors Fail-closed by default

AI Marketplace

Seven role-adapted AI projects — threat intelligence, incident-response playbooks, compliance gap analysis, FAIR quantification, vulnerability management, architecture review, board reporting.

CyberNet

Collaborative, trust-weighted threat intelligence with semantic pattern matching across Sigma, YARA, Snort and vector embeddings.


Agent architecture

Agents that run continually,
yet hold nothing durable.

Twenty patterns across four planes. The premise is that an autonomous agent should be able to work indefinitely without ever accumulating standing power — so a compromised one has nothing worth stealing and nowhere to go.

IdentityMake the agent known
  • Zero standing privilege — agents hold nothing at rest
  • SPIFFE workload identity — hardware-attested, not secret-based
  • Credential genealogy — full lineage from human authority to action
  • Content-addressed definitions — tampered agents cannot start
  • Continuous attestation — re-proven on cadence, not assumed
PrivilegeMake the agent bounded
  • Budgets in the credential — the 251st action is cryptographically impossible
  • Trust-priced credentials — TTL and scope track demonstrated behaviour
  • Just-in-time escalation — approval mints a one-shot token
  • Dual control for destructive verbs — two identities, cryptographic
  • Purpose-bound data — an analytics credential cannot read export data
ExecutionMake the agent contained
  • Brokered-only egress — total reach is a finite, auditable list
  • Blast-radius cells — network policy generated from declared scopes
  • Secretless brokers — agents submit requests, never see keys
  • Session recording as ground truth — cryptographically verifiable replay
  • Canary credentials — decoy tokens detect compromise continuously
SupervisionMake the agent accountable
  • Watchdog mesh — paired agents monitor each other's behaviour
  • Liveness by measured cadence — silence and mania both flagged
  • Shadow-promoted versions — new agents prove safety before production
  • Forensic time-travel — replay any run against point-in-time state
  • Cross-tenant agent passports — verifiable behavioural references

In practice: credentials issued and revoked, scopes granted, policies authored, trust scores adjusted, behaviour and health analysed, Vault and Teleport connections tested — and an emergency kill that works in a single action.


The inflection

Why this is the moment.

40%By 2026of enterprise applications embed AI agents.
<2 hrsBlast radiusfor a compromised autonomous agent to gain broad system access.
$4.63MShadow AIaverage breach cost — $670K above the norm.
16%And climbingof breaches now involve attackers using AI.

The company

An industry solving
one problem, millions of times.

LogicRiver exists to end that. The same objectives, the same layers, in the same order — assembled from scratch by every organisation on earth, most of which stall at about half the capability they need because the skilled people simply are not there to hire. A market that cannot be staffed can only be served by a force multiplier.

Time wasted building 0 → 50%

Every organisation spends the same months assembling identical scaffolding before delivering any real security value.

Identical goals, everywhere

Presentations, playbooks, policy, risk management, compliance mapping, vendor selection, third-party management — the same list, in the same order, in every org.

Massive redundant overhead

Redundant tooling, duplicate effort and stalled maturity — the exact waste LogicRiver removes.


The solution

Consume. Customize. Contribute.

A federated cybersecurity knowledge platform: organisations inherit canonical knowledge, fork it for their own needs, and contribute improvements back — so the whole industry compounds instead of each org starting over.

01Golden ImageCanonical knowledge base
02Custom forksOrg-specific customisation
03AI MarketplacePersona-aware operations
04Vendor PortalBuyer–seller matching
05Risk modellingQuantitative analysis

Every organisation makes the Golden Image better for the next one — a knowledge asset a competitor cannot replicate by writing code.


Network effects

A flywheel that gets stronger with every organisation.

More organisations enrich the Golden Image, which trains better persona-aware AI, which creates more value — which pulls in more organisations. Data network effects, community governance, and the switching costs of a fork you have invested in.

01More orgs join
02Better knowledge
03Better AI
04More value
05More contributions
Data network effects Community governance Switching costs & forks Better AI training data

Traction

Proven at enterprise scale before it was a product.

$16BCISO-provenThe organisation where the concept was proven in production.
SignedAgreementsEstablished agreements with other major organisations in the local area.
MVPPlatformLogicRiver is the vehicle to expand, scale and grow the proven concept.

A live, enterprise-validated concept — now ready to scale into an industry-wide ecosystem.


Who builds it

Built by operators who ran the programs it replaces.

Not designed from the outside in. Every module started as something the team had to build by hand — in production, under audit, with a board waiting on the number.

Two decades on the inside

Twenty-five years in IT, eighteen of them in information and cyber security, and identity and access programs led four separate times at four different organisations. That last detail is the origin of the Golden Image: the same corpus of knowledge assembled from nothing, four times over, before it became obvious that nobody should have to do it a fifth.

Sectors carried into the platform: banking and financial services, insurance, retail, product, telecom, government and defence, consulting, agriculture and manufacturing.

Credentials behind the platform

MS, Information Assurance CISSP CISM CISA CGEIT

Where the experience comes from

AT&TTargetZurich FinancialFarmers Insurance CargillMoneyGramGeneral DynamicsEpson Coldwell BankerMphasis / T-MobileHCL Tech / Boston Scientific
There is nothing more difficult to take in hand, more perilous to conduct, or more uncertain in its success, than to take the lead in the introduction of a new order of things. Niccolò Machiavelli, c. 1500

The industry is primed for disruption. Let's change the trajectory.

Get started

Book a briefing.
Or just go look.

Three industry-specific demonstration organisations are already seeded, so the fastest way to judge CyberOS is to open one and start clicking. If you would rather have it walked through, an executive briefing runs about forty-five minutes and ends on the same question every time: where is your program short-handed, and what would the multiple be there.

Demo organisations — time to first insight, under five minutes

TechCorpTechnology
5,000+ employees
Cloud-native
FinSecureFinancial services
2,000 employees
PCI / SOX
HealthSystemsHealthcare
10,000 employees
HIPAA / HITECH

Request

Tell us what you need.

Requests go straight to the team that builds CyberOS — no gatekeeper, no queue, no qualification call before the real one. A reply usually lands within one business day.

Executive briefing

Forty-five minutes, live against a demonstration organisation, aimed at the pillars your program is weakest on.

Demo-org access

Credentials for TechCorp, FinSecure or HealthSystems — explore before any call.

Design partner

For organisations willing to pilot and shape the roadmap — and for investors, the materials behind this site.

Business contact details only — this form is for scheduling, not for anything confidential.