AI-Native Cyber Operations

AI-native cyber operations.
Deepened by every analyst who uses it.

Most platforms give you a detection library and call it done. Orden Cyber gives you a knowledge fabric: a living intelligence layer your SOC team builds, extends, and owns. Every pipeline your analysts create, every constraint they give during wargaming, every prediction that fires draws on that accumulated context.

Knowledge Fabric
Built by your analysts. Deepens with every use.
Predict + Wargame
See attacks before they execute. Shape the response in plain English.
Cross-Domain
Cyber, physical, HR, and financial signals in one detection pipeline.
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Why this is possible

AI and human judgment as first-class architectural peers.

A platform that deepens with use requires AI and human judgment to be designed together, not AI bolted onto a detection engine with human approval bolted onto that. Orden Cyber was built from the ground up on agentic pipeline infrastructure where analyst-built detection logic, operator wargaming constraints, and predictive modeling all operate in a single unified runtime. The knowledge your team encodes today shapes every response decision tomorrow.

Start with pre-built detection models from leading vendors, layer your analysts' expertise on top, or build entirely from scratch. Whatever path you take, the result is a permanent organizational asset, not a vendor dependency.

Differentiator 01: Operators Own the Detection Architecture

Operator-built AI detection and countermeasure pipelines

Analysts describe a detection goal in plain language and receive a working pipeline draft. Every pipeline they build (detection logic, countermeasure wiring, approval checkpoints) becomes a versioned, portable organizational asset that deepens with use.

Plain-language pipeline generation

Analysts describe what they want to detect and how to respond. Orden Cyber drafts a working pipeline they can refine, version, and share.

Versioned, portable, exportable

Pipelines, detections, countermeasures, and approval workflows are all first-class artifacts. Move them across environments and classification boundaries.

Lowers the barrier from detection engineer to analyst

The skilled analyst becomes the detection author. The knowledge your SOC builds stays with the SOC.

Compared to others

Every competitor ships a detection library they maintain. Your analysts are consumers of someone else's model of your threat environment.

Operator-authored detection and countermeasure pipeline
Differentiator 02: Wargaming Inside the Decision Loop

Countermeasure wargaming with plain-language feedback

Orden Cyber generates ranked countermeasures, simulates 2nd- and 3rd-order operational effects, and presents the top three. The operator rejects in natural language (for example, "avoid blocking that subnet, it's production"), and the AI regenerates with those constraints incorporated.

Top-three ranked countermeasures

Each option is scored with downstream operational impact, not just primary effect on the threat.

Natural-language constraints, mid-decision

"Don't touch production." "Skip the IdP step until 0600." Constraints are absorbed by the AI and reflected in the regenerated options.

The decision emerges from context

Not a pre-authored playbook. The response fits the situation, not the template.

Compared to others

Every other SOAR platform executes a pre-authored playbook. None simulate downstream effects or accept natural-language constraints mid-decision.

Countermeasure wargaming with ranked options and 2nd/3rd-order effects
Differentiator 03: See It Before It Lands

Predictive threat modeling before execution

Orden Cyber predicts attack type, target, and objective before the attack executes, drawing on behavioral signals, UEBA data, and cross-domain telemetry. Confidence is expressed as Monte Carlo simulation intervals, not single-point estimates.

Predicted attack type, target, and objective

Behavioral indicators are projected forward into the likely attacker objective, not just the next observed step.

Monte Carlo confidence intervals

Probabilistic ranges, not binary alerts. Analysts see the distribution of likely outcomes, not just a single label.

Cross-domain behavioral fusion

UEBA, asset state, identity behavior, and OSINT all feed the same predictive layer.

Compared to others

Legacy SIEM platforms fire alerts after thresholds are crossed. Orden surfaces the threat before the attacker reaches their objective.

Predictive threats with Monte Carlo confidence intervals
Differentiator 04: Approval as Architecture

Human-in-the-loop as architecture, not a toggle

Approval checkpoints are pipeline nodes: role-based, with configurable expiry, evidence presentation, and plain-language feedback loops. The AI cannot take a network-level action without passing through a checkpoint if the pipeline requires one. Enforced by the pipeline architecture itself.

Checkpoints are first-class pipeline nodes

Role-based assignment, expiry timers, evidence presentation, and feedback loops are configured per checkpoint.

Three execution modes per pipeline

Auto-execute, queue-for-operator, or documentation-only, chosen per pipeline and per response action.

Cannot be disabled by configuration drift

Approval is encoded in the pipeline graph, not in an admin setting. Compliance posture survives staff turnover.

Compared to others

Darktrace Antigena takes autonomous response actions by design. In a DAF enclave or any environment with strict rules of engagement, that is a liability, not a feature.

Role-based approval checkpoint embedded in the response pipeline
Differentiator 05: Capability, Not Vendor

Swap vendors without rewriting pipelines

Every response action is expressed against a capability (firewall, EDR, IdP, DNS, patch, SOAR) rather than a vendor. Switching from CrowdStrike to SentinelOne or Palo Alto to Fortinet means reconfiguring one credential profile. Every pipeline, countermeasure, and approval workflow keeps working unchanged.

Pipelines bind to capabilities

"Block IP" is a capability call; the firewall vendor is a credential profile underneath. Pipelines do not change when the vendor does.

Encrypted credential vault

AES-256-GCM with rotating master key. Per-environment credential profiles, swappable without touching pipeline logic.

AI-suggested routing

Lab IPs are routed to the lab firewall, production to production, automatically selected by environment context.

Compared to others

SOAR competitors hard-code vendor SDK calls into playbooks. Vendor migration becomes a multi-month rewrite. Orden makes it a credential update.

Integrations bound by capability — EDR, Firewall, IdP, DNS, Patch, SOAR
Differentiator 06: Evidence, Not Intent

Standards artifacts as evidence, not intent

CACAO playbooks, OpenC2 commands, and OSCAL evidence describe what actually happened. They are generated after the vendor API fires, with execution timestamp and outcome embedded. Orden is also a CACAO 2.0 runtime, not just an emitter.

CACAO 2.0 native runtime

Walks and executes playbook workflow steps as part of any pipeline, not just emits a JSON document at approval time.

OpenC2 v2.0 live execution

SLPF, ER, and standard OpenC2 profiles executed against live integrations, with audit-grade response records.

OSCAL evidence with execution timestamps

Artifacts describe what fired, when, and with what outcome, not just what was approved.

Compared to others

Competitors emit artifacts at approval time: intent only. FedRAMP, CMMC, and SOC 2 evaluators can tell the difference. Auditors need execution records, not approval records.

CACAO, OpenC2, and OSCAL artifacts generated with execution timestamps and outcomes
Differentiator 07: Beyond a Fixed Data Model

Cross-domain data aggregation in a single detection pipeline

Physical access logs, HR systems, financial data, geospatial feeds, and OSINT are treated as first-class pipeline inputs alongside SIEM telemetry and EDR feeds. Correlation patterns that span cyber and non-cyber domains are simply not expressible in platforms built on a fixed data model.

First-class non-cyber inputs

Badge logs, HRIS records, financial transactions, and geospatial feeds, all joined to SIEM and EDR data within a single pipeline.

Universal log ingestion

Syslog, CEF, LEEF, PCAP, NetFlow ingested and normalized to OCSF across every source.

Correlations that no SIEM can express

The insider who badged into the server room before the exfiltration event becomes a detectable pattern.

Compared to others

Every competing SIEM defines a fixed data model. The correlations that matter most, such as the insider who badged into the server room before the exfiltration event, are invisible to them.

Cross-domain pipeline joining physical, HR, financial, geospatial, and OSINT data with SIEM and EDR
Platform Capabilities

Built for the operating environment of a modern SOC

Classification
IL2 through IL6
Same codebase, same AI, fully air-gapped at every classification level.
Deployment
Kubernetes / Helm
Self-contained Helm chart with KEDA autoscaling, laptop to classified enclave.
Authentication
CAC / PIV native
CAC and PIV via SAML 2.0 through Keycloak, ready out of the box.
Detection & Intelligence
  • MITRE ATT&CK mapping and full kill chain visualization
  • YARA, Sigma, and Suricata rules run natively alongside ML detection
  • Universal log ingestion: Syslog, CEF, LEEF, PCAP, NetFlow
  • OCSF normalization across all ingested data sources
  • STIX 2.1 / TAXII threat intelligence ingestion
  • GeoIP, ASN, and DNS enrichment with no internet lookup required
  • Rule-level connection trace: which pipelines and CMs fire per rule
  • Auto-response coverage map from live graph state, never drifts
  • Composable ML model selection: fast triage layered with deep-analysis models
Response & Workflow
  • Three execution modes: auto-execute, queue-for-operator, documentation-only
  • AI-derived escalation chains: soft, hard, and reverse variants in one click
  • Forkable approval workflow: Slack, ServiceNow, or webhooks per org
  • AI-contextualized runbooks with IoC-specific step rewrites
  • Multi-trigger operations: manual, detection auto-invoke, REST hook
  • Encrypted credential vault: AES-256-GCM with rotating master key
  • OpenC2 v2.0 live execution across SLPF, ER, and standard profiles
  • Detection-as-code portability across classification boundaries
  • CACAO playbook reuse surfaced at approval time, no duplicate sprawl
  • One execution primitive across all trigger paths, unified audit trail
Integrations & Connectors
  • EDR: CrowdStrike Falcon, SentinelOne, Defender, Carbon Black
  • Firewall: Palo Alto Networks, Fortinet, pfSense
  • IdP: Entra ID, Okta  ·  DNS: Infoblox  ·  Patch: WSUS / SCCM
  • SOAR: Splunk SOAR, Tines, Ansible AAP; generic webhook fallback
  • AI quick-setup wizard: paste connection details in plain English
  • Test-connection health probes on every integration card
  • AI-suggested routing: lab IPs to lab firewall, prod to prod, auto-selected
Visibility, Compliance & Reporting
  • AI-generated dashboards from natural-language queries, rendered inline
  • 10 pre-built SOC dashboards: Command Center, ATT&CK Coverage, UEBA, and more
  • Dedicated views: Kill Chain, Predictive Threats, Asset Inventory, Vuln Mgmt
  • Health Score and Posture Leaderboard for org-wide risk visibility
  • NIST 800-53, CMMC 2.0, RMF, DISA STIG continuous compliance monitoring
  • Automated POAM generation on compliance gap detection
  • Automated SITREP, post-mortem, executive briefing, and gap report generation
  • Incident lifecycle management with SLA tracking and evidence linking
  • Compliance-grade audit log with SQL-queryable execution records
  • Standards artifact provenance: evidence vs intent badges on every record
  • Role-based access control enforced at the platform level
Platform & Infrastructure
  • Fully air-gapped at IL2 through IL6 with the same AI at every level
  • Kubernetes / Helm self-contained deployment with KEDA autoscaling
  • CAC / PIV authentication via SAML 2.0 through Keycloak
  • Context-aware operational AI assistant with real tool use

A knowledge fabric your SOC owns.

Built on Orden Core's agentic pipeline runtime, deployable from a laptop to an air-gapped enclave. See how Orden Cyber compounds with every analyst, incident, and decision.

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