Nexora
Nexora is an AI-driven enterprise endpoint governance and security intelligence system that monitors software usage across machines, applies policy-based risk classification, and generates structured behavioral and security reports.
It is designed for environments where organizations need visibility into application usage, enforce software governance rules, and detect risky or unauthorized tool behavior using deterministic policy rules combined with AI-assisted analysis.
When AI becomes the attacker, Nexora becomes the defense.
Overview
Nexora operates as a lightweight endpoint agent combined with a policy engine and AI reasoning layer. It transforms raw process and application activity into structured security intelligence without giving AI direct enforcement authority.
Core design principles:
- Deterministic policy enforcement (no AI-based risk decisions)
- Transparent telemetry collection
- AI-based explanation and summarization only
- Enterprise governance and auditability by default
Core Features
1. Endpoint Activity Monitoring
- Real-time process execution tracking (start/stop events)
- Application usage duration tracking
- Foreground vs background application detection
- User-session–based activity segmentation
- Device-level telemetry per endpoint
- Timestamped activity reconstruction
- Multi-user enterprise device support
2. Software Identification & Mapping
- Executable identification via process name, path, and signature
- Optional binary hashing for integrity validation
- Application normalization (e.g., chrome.exe → Google Chrome)
- Detection of unknown or unsigned applications
- Version tracking for executed software
- Cross-session application continuity mapping
- Vendor and origin metadata tagging
3. Policy-Based Software Risk Classification
- Enterprise-defined software registry (source of truth)
- Deterministic classification system:
- Approved
- Restricted
- High Risk
- Blocked (optional enforcement mode)
- Tag-based risk labeling:
- remote_access_tool
- unapproved_ai_tool
- data_exfiltration_risk
- external_sync_service
- kernel_level_access_tool
- Department-based policy segmentation (HR, Finance, Engineering)
- Versioned policy history with audit tracking
4. Enterprise Governance Features
Role-Based Access Control (RBAC)
- Employee, Manager, Security Analyst, Administrator, Auditor roles
- Scoped visibility per role
- Context-aware access controls (device, role, risk level)
Policy Approval System
- Multi-stage approval workflows
- Security/compliance sign-off requirements
- Versioned policy changes with rollback support
- Scheduled policy activation
Software Allowlist & Blocklist Management
- Centralized enterprise software registry
- Department-specific allow/deny lists
- Temporary exceptions with expiration
- Emergency overrides for incident response
Policy Simulation Mode
- Dry-run policy testing before enforcement
- AI-assisted impact analysis
- Estimated affected users and workflows
- Risk impact forecasting
Audit & Traceability
- Immutable event logging (optional hash chaining)
- Full lifecycle tracking:
process → policy evaluation → AI interpretation → report
- Administrative action logs
- Exportable audit bundles
Compliance Layer
- SOC 2-ready reporting structure
- ISO 27001-aligned logging format
- GDPR-aware data handling controls
- Data retention and residency configuration
Exception Handling System
- Approval-based overrides
- Time-limited exceptions
- Mandatory justification tracking
- Full audit history of overrides
Transparency Mode
- Employee-facing activity dashboard
- “Why was this flagged?” explanations
- Personal usage visibility
- Optional notifications for restricted activity
5. Security Risk Detection & Flagging
- Detection of restricted/high-risk software usage
- Event-based risk flagging system
- Duration tracking for risky tool usage
- Context-aware logging (user, time, device, app)
- After-hours anomaly detection
- Unknown application escalation pipeline
6. AI Analysis & Summarization Layer
- Daily automated AI-generated reports
- Structured interpretation of policy events
- Natural language security summaries
- Behavioral trend analysis (7/30/90-day views)
- Executive-level reporting outputs
- Multi-day reasoning across historical activity
- Explain-only AI mode (no enforcement authority)
7. Behavioral Analytics & Anomaly Detection
- Baseline behavior modeling per user
- Risk scoring system (0–100 scale)
- Deviation detection from normal usage patterns
- Cross-user behavioral comparison
- Unknown software clustering
- Temporal anomaly detection (off-hours spikes)
8. Incident Correlation Engine
- Event grouping into security incidents
- Multi-step behavioral chain detection
- Cross-process correlation analysis
- Incident timeline reconstruction
- Severity scoring per incident
9. Enterprise Reporting System
- Daily, weekly, monthly reporting
- Per-user, per-device, and department summaries
- Export formats:
- JSON
- Markdown
- PDF (optional)
- Executive dashboards
- Historical report querying
10. AI Safety & Determinism Controls
- Structured JSON-only AI input pipeline
- No AI-based risk classification authority
- Prompt injection-resistant preprocessing
- Versioned prompts and model tracking
- Output validation to prevent hallucinated events
- Explain-only AI execution model
11. Security & Privacy Controls
- Local-first deployment option
- Encrypted telemetry storage
- Configurable data collection levels
- Optional anonymization for analytics
- Role-based data visibility controls
- Secure enterprise sync (optional)
12. Deployment & Architecture
- Cross-platform support:
- Lightweight endpoint agent
- Modular architecture:
- collector layer
- policy engine
- AI reasoning engine
- reporting system
- Offline-capable operation
- Optional enterprise aggregation server
13. Extensibility Layer
- Plugin system for telemetry sources
- Custom risk tag definitions
- SIEM integration hooks
- API access for dashboards
- Identity provider (SSO) integration
- Future AI agent monitoring expansion
Specification Branding License (SBL)
Standard
- Fully AGPL-3.0+ compliant system
- Copyleft enforced for network deployments
- Required attribution:
Optional
- Specification Branding License (SBL)
License & Notice Requirements
Nexora is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).
By contributing to this project, you agree that your contributions will also be released under this license.
Please note the following:
- All contributions must comply with the AGPL-3.0+ terms.
- Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to:
Roxanne Ardary and roxanneardary.com.
- Nexora specificiations are free to use with attribution. A Specification Branding License can be negotiated upon request.
- The project's notice.md file tracks attribution requirements and contributor acknowledgments.
Any update that adds new contributors or modifies attribution should also update notice.md.
- When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
- Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.
For full legal details, see the AGPL-3.0+ license and the notice.md file.
Open Arsenal Hub
https://gitlab.com/Roxanne_Ardary/open-arsenal-specs
roxanne_ardary/nexora
