Security Strategy & Architecture
Develop target architectures, threat models, baselines and policies as versioned security products.
Orthevs Engineering Lab · SEL
The Security Engineering Lab brings assets, controls, findings, risks, detection, response, recovery and Evidence together in a Security Control Plane, with limited permissions, explicit scope and traceable decisions.
Documented target state · Concept / Architecture Baseline
Domain application · target architecture
The Lab is designed as a complete domain application with a workspace, editors, models and SDK-like interfaces. Its Factories are the specialist tools; Engines handle processing and execution. Shared Contracts connect it with other Labs.
Develop security architectures, controls, policies and validation methods.
Requirements and rules select the domain foundation.
Models, editors and tools address the domain problem.
Specialist tools create artifacts and use suitable execution mechanisms.
Tests, evidence and approvals lead to a versioned outcome.
The workflows and capabilities shown describe the documented target model. Check availability and maturity for each release and capability.
Mission and ambition
Security tools generate signals, but not yet a robust security model. SEL links targets and assets with expected controls, assessments, findings, risks, cases, incidents, remediation and Evidence. This makes visible what has been checked, what remains unknown and which decision follows from a result.
SEL is not a monolithic reimplementation of SIEM, EDR, IAM, PKI or scanners. Existing products are integrated through adapters and complemented with versioned security-as-code and security-as-a-product capabilities. Provider dependency remains contained behind open schemas and export contracts.
Read-only is the safe starting point. Mutating or offensive actions require a target, scope, time window, time-limited credentials, impact report, approval, kill switch and recovery path. A technical scan replaces neither a risk decision nor a legal compliance assessment.
Capability map
The domains organize responsibility and lifecycles. Within them, Factories deliver clearly bounded, versionable capabilities.
Develop target architectures, threat models, baselines and policies as versioned security products.
Capture assets and attack surfaces, prioritize findings and track remediation through to re-test.
Control identities, permissions, secrets, keys, PKI and trust relationships.
Secure code, applications, dependencies, SBOM, provenance and release gates.
Assess hosts, cloud, Kubernetes and containers against baselines and exposure models.
Bring together segmentation, endpoint controls, Zero Trust, and mail and web protection.
Operate telemetry, versioned detection rules, threat intelligence and hunting traceably.
Coordinate alerts, cases, response, safe automation and forensics in one incident lifecycle.
Use authorized assessments, emulation and breach simulation to verify control effectiveness.
Connect risks, control mapping, data protection and audit-ready Evidence with decisions.
Prepare and test cyber recovery, ransomware resilience, exercises and crisis coordination.
Address AI, OT/IoT, cryptography, PQC and new threats in clearly scoped engineering profiles.
Use cases
The scenarios combine several Factories into one dependable flow. They describe the documented target state, not a product function that is already committed.
PEL obtains a signed OS image from OSEL, has SEL assess security profiles and preflight, and registers the finished cluster as a target again. Baseline and exposure assessments deliver findings and a traceable gate result.
Asset discovery and vulnerability management produce a contextualized finding. Risk and ownership determine the remediation plan; PEL or OSEL execute the change, and SEL closes the finding only after an independent re-test.
Permitted telemetry feeds tested detection rules. Case management prioritizes alerts, incident response documents decisions, forensics preserves Evidence, and cyber recovery coordinates restart and integrity checks.
Code, application, dependency and supply chain checks produce normalized findings and Evidence. Policies decide on release gates; exceptions have an owner, justification and expiry date.
End-to-end lifecycle
SEL covers preventive, detective and reactive security and feeds insights back into architecture, controls and playbooks.
Capture targets, owners, criticality, exposures and coverage.
Run scope-limited checks with confidence, freshness and Evidence.
Version threat models, baselines, trust boundaries and policies.
Implement controls in a controlled manner through the responsible Labs and systems.
Run security tests, re-tests and simulations against defined expectations.
Continuously maintain coverage, exceptions, risks, findings and control states.
Turn telemetry and tested rules into traceable alerts.
Coordinate triage, containment, actions, communication and forensics.
Return systems, data and identities to a secure state with verification.
Translate findings and incidents into better controls, rules, architecture and exercises.
Control access, data, keys, Evidence and retention during dismantling.
Validation, incidents and recovery improve controls, rules and playbooks. Insights are not merely documented; they flow, versioned, into the next engineering cycle.
Reference architecture
UI/API, Control Plane, isolated execution workers, targets and Evidence storage are separate zones, each with minimal permissions.
SSO, tenancy, IAM, policy, secrets, event bus and central audit context.
Projects, targets, assets, controls, findings, risks, cases, incidents and approvals.
Architecture, assessment, detection, response, recovery, GRC and verification.
Scanners, SIEM, EDR, cloud, K8s, IAM, action runners and a protected Evidence store.
Assessment starts without change permissions; actions require a new, explicit scope.
Cross-tenant or authorization errors stop the process and trigger audit and alert.
Missing coverage, rate limits or unreachable targets are not rated as compliant.
Findings and decisions remain linked to integrity-protected evidence.
Lab Core
The Lab Core bundles the cross-cutting domain services; a Factory adds a capability without rebuilding these foundations in parallel.
Shared SEL function for consistent APIs, lifecycles and verifiable handovers.
Shared SEL function for consistent APIs, lifecycles and verifiable handovers.
Shared SEL function for consistent APIs, lifecycles and verifiable handovers.
Shared SEL function for consistent APIs, lifecycles and verifiable handovers.
Shared SEL function for consistent APIs, lifecycles and verifiable handovers.
Domain model and evidence
SecurityProject, Target and Asset define scope and ownership. Controls and assessments produce findings; risks, RemediationPlans and approvals steer decisions. Alerts, cases and incidents form the reactive path, and Evidence connects both sides.
Evidence requires a hash, custodian, access, retention and, where applicable, legal hold. Highly sensitive findings, topologies and forensic data are protected separately; exports and access are themselves auditable security events.
Authorized scope, identity, owner, criticality and relationships.
Expected behavior, check rule, version and associated policy.
Deviation, severity, confidence, status, Evidence and affected assets.
Business context, treatment, acceptance, owner and expiry date.
Timeline, decisions, actions, participants and recovery status.
Hash, provenance, custodian, retention, legal hold and export log.
Security, governance and operations
SEL must not itself become a privileged attack path through its integrations. Every capability is limited per target, action, environment and time.
MFA, workload identity and JIT tokens protect sensitive operations.
Separate workers and trust zones limit reach and blast radius.
Forensic and compliance data retain integrity and chain of custody.
AI-assisted triage and automation remain bound to bounded permissions and human approval.
Interplay within the Orthevs system
Findings and gate decisions are handed over through contracts; remediation runs in the responsible Lab and returns for independent verification.
Registers platforms and clusters, implements approved remediation and consumes gate decisions.
Delivers host, image, SBOM and hardening Evidence and executes OS changes.
Provides infrastructure assets, topologies and controls and remediates provider and network findings.
Registers AI systems and consumes AI security, governance and supply chain assurance.
Hands over chain, contract, validator and key contexts for threat modeling and validation.
Roadmap target state
Mutating automation and SOC breadth follow only once scope, findings, risk, remediation and verification work traceably. The phases are deliberately described without binding delivery dates.
Manifest, API, event contracts, target registration, Evidence model, permissions and trust boundaries.
Exit Gate: target and assessment are authorized, versioned and auditable.Asset discovery, baseline, vulnerability, infrastructure/Kubernetes security, compliance, remediation and verification.
Exit Gate: a finding is tracked from evidence through to an effective re-test.Secure code, application testing, SBOM, provenance, supply chain and release gates.
Exit Gate: a software artifact carries verifiable security Evidence and a policy result.Telemetry, detection, cases, incident response, safe automation and digital forensics.
Exit Gate: incident lifecycle with chain of custody and recovery handover.Risk/compliance, cyber recovery, identity, Zero Trust, AI, OT/IoT and cryptography profiles.
Exit Gate: governance and resilience scale across multiple target classes.The MVP registers a PEL Kubernetes cluster as an authorized target, runs read-only baseline and vulnerability assessments, prioritizes findings, hands over an approved remediation and closes only after successful security verification.
Deliberate boundaries
Named non-goals protect the Lab from a broad but unintegrated tool catalog and keep technical statements verifiable.
SEL Factory Portfolio
Every Factory has its own detail page covering responsibility, use cases, artifacts and contract. The catalog represents the planned capability map.
DAST, API security, fuzzing, and verification.
Open detail page ↗SCA, SBOM, license notices, and dependency risk.
Open detail page ↗SAST, code rules, and developer feedback.
Open detail page ↗Provenance, signatures, attestations, and release gates.
Open detail page ↗Inventory, ownership, and classification.
Open detail page ↗Attack surfaces, exposures, and deviations.
Open detail page ↗Remediation planning, patch and configuration changes, and retesting.
Open detail page ↗Findings, scans, CVE correlation, and prioritization.
Open detail page ↗Detection as code, correlation, tests, and tuning.
Open detail page ↗Log and event ingestion, normalization, and routing.
Open detail page ↗Hypothesis-driven hunts, queries, and outcomes.
Open detail page ↗IOC and TTP feeds, context, confidence, and lifecycle.
Open detail page ↗RBAC and ABAC, reviews, separation of duties, and just-in-time and just-enough access.
Open detail page ↗Identity risks, federation, and account lifecycle.
Open detail page ↗PKI, certificates, rotation, and revocation.
Open detail page ↗Secret rotation, KMS and HSM, and key lifecycle.
Open detail page ↗Cloud posture, IAM exposures, and guardrails.
Open detail page ↗Image scans, runtime context, and registry policies.
Open detail page ↗Host, hypervisor, and network security assessments.
Open detail page ↗Cluster and workload posture, admission, and Pod Security.
Open detail page ↗Email and web protection and URL and domain risks.
Open detail page ↗EDR integration, host telemetry, and endpoint policies.
Open detail page ↗Segmentation, firewalls, and network controls.
Open detail page ↗Identity-aware access and continuous verification.
Open detail page ↗Authorized ATT&CK-based validation.
Open detail page ↗Controlled simulations and detection effectiveness.
Open detail page ↗Scope-bound assessments and evidence.
Open detail page ↗Regression checks, control testing, and fix validation.
Open detail page ↗Crisis roles and decision logs.
Open detail page ↗Clean-room recovery and restore assurance.
Open detail page ↗Hardening and immutable-backup controls.
Open detail page ↗Tabletop exercises and crisis scenarios.
Open detail page ↗Audit packages, evidence retention, and reporting.
Open detail page ↗Control mapping, continuous compliance, and evidence.
Open detail page ↗Data classification and privacy controls.
Open detail page ↗Risk registers, treatment, and acceptance.
Open detail page ↗Evidence preservation, chain of custody, and timelines.
Open detail page ↗Playbooks, containment, and escalation.
Open detail page ↗SOAR workflows, approvals, and safe actions.
Open detail page ↗Alerts, cases, triage, severity, and evidence.
Open detail page ↗Target architectures, security zones, and architecture reviews.
Open detail page ↗Technical baselines, control profiles, and versioning.
Open detail page ↗Policy as code, rules, exceptions, and enforcement.
Open detail page ↗Threat models, trust boundaries, and attack paths.
Open detail page ↗LLM and ML security and model supply-chain security.
Open detail page ↗Crypto agility and post-quantum cryptography migration planning.
Open detail page ↗OT and IoT inventory and controlled assessments.
Open detail page ↗Defensive research and analysis environments.
Open detail page ↗Shape SEL together
Security posture, vulnerability-to-verification, DevSecOps or incident-to-recovery can be detailed as a clearly authorized pathway with real targets and Evidence.
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