Enterprise access control, auditability and governance

Autonomous intelligence. Uncompromising governance.

High-consequence decisions demand more than passive monitoring. JanusKS pairs the computational speed of agentic systems with deterministic access controls, immutable temporal audit logs and mandatory human sign-off on every state-altering commit. Enforce zero-trust principles down to the individual graph node, run complex simulations in total isolation, and preserve an unalterable chain of custody across every human, system and AI interaction.

The knowledge graph sits inside nested identity, policy and audit layers. An agent reaches only the part of the graph it is allowed to, and a request outside that scope is stopped. identity access policy Agent
Every request passes identity and policy checks before it reaches a single node.
Deep ABAC enforcement
Restrict visibility and execution rights down to individual graph nodes, relationship edges and properties.
Non-destructive audit ledger
Every query, human override and agent tool execution is permanently preserved with complete causal context.
Defensible autonomous actions
Clear, deterministic separation between observational AI intelligence and state-altering enterprise commits.

AI autonomy and dynamic workflows break legacy security models.

Traditional enterprise security relies on coarse perimeters: if a user or system integration has access to an application, they generally have access to all database rows inside it. In decision support and agent-driven environments, this approach collapses.

  • The “all-or-nothing” access dilemma

    Basic role-based access control (RBAC) cannot handle complex operational realities, such as letting a project engineer view task schedules and plant logistics while barring them from subcontractor profit margins and executive charge-out rates.

  • The “black box” audit vacuum

    Standard software logs record that a record was modified, but lose the operational rationale. When an unexpected change destabilises a schedule, leadership cannot determine which model inference, human assumption or upstream trigger caused the cascade.

  • Runaway autonomous automation

    Organisations want AI agents to identify bottlenecks and test solutions, but fear unmonitored scripts committing destructive, unreviewed updates directly to core ERP systems.

JanusKS implements a rigorous security framework where access is continuous, contextual and mathematically constrained.

The security and governance stack.

Every request passes through each layer, and every outcome is recorded.

Enterprise identity and authentication

  • SAML 2.0
  • OpenID Connect (OIDC)
  • SCIM user lifecycle

Okta, Microsoft Entra ID / Azure AD, Ping, Google Workspace

Contextual access policy engine

Role-based (RBAC)

Executive, planner, site lead, auditor, agent

Attribute-based (ABAC)

Classification, project, geography, shift, clearance

Knowledge graph data layer

  • Node and edge-level authorisation filters
  • Customer-managed keys (AES-256 / BYOK)
  • Virtual private graph isolation and zero-copy scoping

Immutable temporal audit ledger

Captures actor ID, causal trigger, state delta and timestamp

Continuous export to SIEM: Splunk, Datadog, Microsoft Sentinel

Fine-grained access control: beyond basic RBAC

Move past crude table-level permissions to contextual, relationship-aware data scoping.

Attribute-based access control (ABAC) at graph level

JanusKS applies policy evaluation dynamically at the node and edge level during graph traversal.

  • Entity-level masking

    An operational planner can inspect equipment deployment windows and trade sequencing without viewing associated vendor contract margins, subcontractor charge-out rates or individual wage details.

  • Dynamic contextual policies

    Restrict access based on environmental variables: time of shift, geographic IP or location, project assignment or security clearance level.

  • Cross-organisational partitioning

    Securely collaborate with joint-venture partners, design consultants and subcontractors on the same graph without exposing internal financial benchmarks or unrelated portfolio assets.

Automated user lifecycle management

  • Enterprise SSO

    Native support for SAML 2.0 and OIDC identity providers with mandatory multi-factor authentication (MFA) enforcement.

  • SCIM provisioning

    Automatically provision, reassign and revoke user credentials in real time as staff join, move between projects or leave the enterprise.

The immutable audit ledger: forensic attribution

Complete causal traceability across humans, background systems and AI models.

In high-consequence industries, knowing what happened is only half the battle. You must be able to prove why it was done, who authorised it, and what evidence justified the decision.

# Sample event record: EV-2026-08892
Timestamp         2026-10-14T09:42:18.104Z (UTC)
Actor             Agent_ScheduleOptimizer_v4 (MCP runtime: local vLLM)
Human sponsor     Peter Knowles (VP Capital Delivery, ID: usr_88219)
Action type       SANDBOX_PROMOTION_COMMIT
Causal trigger    Supplier sea freight delay notice (+12 days)
Impact delta      34 nodes modified, 12 edges resequenced
Constraint check  PASSED (zero hard constraint violations)
Cryptographic proof SHA-256: 8f4c...3e1a (append-only block)
  • Non-destructive logging

    Every query, filter adjustment, scenario calculation and data modification is appended to an immutable, write-once temporal log. Prior operational states are never destroyed or overwritten.

  • Full causal graph

    When an intervention is promoted to live production, the ledger links the decision to the sensor alert, supplier notice or executive instruction that started the workflow.

  • Real-time SIEM integration

    Stream audit events continuously via secure syslog or native connectors to your Security Operations Center (SOC) running Splunk, Datadog, Elastic or Microsoft Sentinel.

Governed agentic execution and human-in-the-loop safeguards

Empower autonomous computational reasoning while maintaining absolute human authority.

As enterprises deploy autonomous agents through the Model Context Protocol (MCP) to manage logistics and schedules, JanusKS provides deterministic governance boundaries.

Read and simulate vs state-altering commits

We enforce an architectural boundary between exploratory intelligence and production execution.

  • Observational agents (autonomous)

    Can continuously query graph sub-sets, detect anomalies, evaluate constraint proximities and run what-if simulations inside isolated sandboxes without manual approval.

  • State-altering operations (gatekept)

    Any action that alters live production baselines, modifies purchase orders, releases contractual hold points or dispatches site crews triggers a mandatory human-in-the-loop (HITL) gate requiring cryptographically signed executive sign-off.

Blast radius containment

  • Scoped ephemeral tokens

    AI agents operate using short-lived credentials restricted to explicit sub-graphs. If an agent attempts to traverse outside its assigned operational domain, the session terminates immediately.

  • Rate limits and circuit breakers

    Automated kill switches monitor agent loop frequency, preventing uncontrolled cascading queries or resource exhaustion.

Cryptographic standards and infrastructure hardening

  • Data in transit

    TLS 1.2 or 1.3 across all client-to-server, inter-service, API and webhook transmissions, with Perfect Forward Secrecy (PFS).

  • Data at rest

    All graph datastores, temporal ledgers, cold storage snapshots and configuration databases are encrypted using AES-256.

  • Customer-managed encryption keys (BYOK / CMEK)

    Enterprises can keep root cryptographic keys in their dedicated key management systems (AWS KMS, Azure Key Vault, HashiCorp Vault), retaining the ability to cryptographically revoke database access at any moment.

  • Vulnerability and supply chain management

    Continuous static and dynamic code scanning (SAST/DAST), hardened minimal base containers (distroless), and complete Software Bill of Materials (SBOM) verification for every release artifact.

Compliance frameworks and regulatory alignment

JanusKS architectures are built to support the compliance requirements of highly regulated global enterprises.

Regulatory standards and how JanusKS supports them
Regulatory standardCompliance capability and implementation
SOC 2 Type IIArchitected around Trust Services Criteria for Security, Availability and Confidentiality.
ISO/IEC 27001Systematic information security management systems (ISMS) governing software development, access control and infrastructure operations.
GDPR / UK GDPRNode-level redaction and selective export mechanisms support Right to Erasure requests without breaking historical temporal integrity.
HIPAA readyConfigurable architectural profiles for healthcare and clinical providers handling Protected Health Information (PHI).
Australian Privacy Principles (APPs)Supports Privacy Act 1988 requirements, with onshore deployment for data residency, sovereign processing and strict identity governance.

Enterprise intelligence without compromising enterprise security.

Give your risk officers and security teams the confidence of a hardened zero-trust architecture, while giving your operational leaders the speed of dynamic decision support.