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 workflow 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 workflow.
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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 workflow 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 workflows

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

Plain-language workflow generation

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

Versioned, portable, exportable

Workflows, detections, countermeasures, and approvals 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 workflow
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 workflow 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 workflow requires one. Enforced by the workflow architecture itself.

Checkpoints are first-class workflow nodes

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

Three execution modes per workflow

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

Cannot be disabled by configuration drift

Approval is encoded in the workflow 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 workflow
Differentiator 05: Capability, Not Vendor

Swap vendors without rewriting workflows

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 workflow, countermeasure, and approval keeps working unchanged.

Workflows bind to capabilities

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

Encrypted credential vault

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

Physical access logs, HR systems, financial data, geospatial feeds, and OSINT are treated as first-class workflow 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 workflow.

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 workflow joining physical, HR, financial, geospatial, and OSINT data with SIEM and EDR
Differentiator 08: Coverage You Can Prove

Every workflow maps to ATT&CK. Coverage is a fact, not a claim.

Each detection workflow is automatically tagged to the MITRE ATT&CK techniques and kill-chain stages it covers, and every countermeasure it can trigger is tracked alongside it. The result is a live coverage map derived from what's actually wired, not a spreadsheet someone updates once a quarter.

ATT&CK mapping and kill chain visualization

Every detected event is automatically tagged to its ATT&CK technique and placed on the kill chain, so operators see exactly where an attacker is in their campaign.

Auto-response coverage map

An org-wide table showing which workflows fire which countermeasures, with which parameter bindings, derived from real graph state and filterable by technique for CISO-level review.

Rule-level connection trace

For any Sigma, YARA, or Suricata rule, see exactly which workflows reference it and which countermeasures fire or queue, plus the MITRE-aligned countermeasures not yet wired to it.

Compared to others

Most platforms ship a static ATT&CK matrix as a marketing slide. Ours is generated from your live workflow graph, so a gap in coverage is something you find and close, not something you discover during an incident.

ATT&CK Coverage Map

Every workflow, tagged to the techniques it covers. Every gap, visible before an adversary finds it first.

Differentiator 09: Response That Explains Itself

Escalate, roll back, and hand an analyst a runbook that names names

A countermeasure isn't fire-and-forget. Every approved response carries its own escalation path, its own rollback, and, when it isn't wired for automation, a runbook written for the actual incident, not a template.

Escalation chains, derived in one click

From any approved countermeasure, derive a softer alternative, a compound hard response, or the exact reverse: full response operations, symmetrically linked, so the Roll Back button always finds the right inverse.

Runbooks rewritten for the incident

When a response runs in documentation mode, the generic template is rewritten with this incident's actual IPs, hostnames, and techniques, not placeholders, with the original steps preserved alongside for review.

Credentials, rotated without a rewrite

An encrypted vault with per-capability defaults and per-environment overrides. Rotate a credential and every workflow that references it updates. No workflow rewrites, no separate secrets manager to run.

Compared to others

Most SOAR platforms require hand-authoring every escalation level and hard-code vendor credentials into playbooks. Ours derives the escalation chain automatically and rotates credentials without touching a single workflow.

Escalate. Roll Back. Explain.

Every response links to its softer alternative, its harder escalation, and its exact reverse. No hand-authored playbook variants.

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 workflows 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 Agentic's workflow 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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