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Releases: pradeep-tnaik/arka-sentinel-distribution

Arka Sentinel v3.1.0

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Arka Sentinel v3.1.0 β€” Production Hardening Release

Release Date: July 2026

Arka Sentinel v3.1.0 is a production hardening release for the local-first Context Memory Engine.

This release focuses on reliability, binary distribution quality, cryptographic safety, context-memory stability, and cleaner public packaging. It strengthens the v3.0.0 Context Memory foundation and prepares Arka Sentinel for broader public binary distribution.

What’s New

Hardened Context Memory Runtime

The local Context Memory Engine has been stabilized across core execution paths.

This release verifies:

  • Local SQLite memory initialization
  • Repository context synchronization
  • Structural memory persistence
  • Historical risk tracking
  • Semantic governance scoring
  • Fatal rule enforcement
  • Advisory warning behavior

The engine continues to run locally using the bundled sentinel-core-v1 model and signed governance memory vault.

Security Improvements

Fail-Closed Webhook Security

The private license automation webhook now enforces strict request validation.

Webhook hardening includes:

  • Mandatory X-Auth-Secret validation
  • Mandatory Razorpay HMAC-SHA256 verification
  • Timing-safe hmac.compare_digest
  • Correct request body parsing order
  • Fail-closed behavior when secrets are missing
  • Safe handling of ignored webhook events

Zero-PII License Storage

License automation now avoids committing plaintext customer license keys into Git history.

Commercial license records are stored using one-way SHA-256 hashes, while issued license files remain cryptographically signed using Ed25519.

Signed Governance Vault Verification

The runtime continues to fail closed if the governance rule vault signature cannot be verified.

The v3.1.0 vault contains:

  • 7 signed governance rules
  • 768-dimensional precomputed rule embeddings
  • fatal blocking policies for privacy, credentials, and critical injection risks
  • advisory routing for lower-severity architectural and operational risks

Governance and Policy Updates

Fatal Rule Enforcement

Zero-tolerance rules now consistently override advisory mode.

Fatal rules include:

  • HEALTH_GDPR_HIPAA_01
  • PCI_DSS_CREDENTIALS_01
  • DATABASE_INJECTION_01

Medium-risk findings, such as command execution risk patterns, are routed as warnings where appropriate.

Build and Packaging Improvements

Clean Binary Distribution Boundary

The public client ZIPs now exclude private engineering and backend files.

The release packages do not include:

  • api/
  • rules.json
  • compile_vault.py
  • rebuild_rules.py
  • requirements.txt
  • .arkasentinel/
  • memory.db
  • __pycache__/
  • .pyc files

Platform-Isolated Packages

The release artifacts are separated by platform:

  • arka-sentinel-windows-x64.zip
  • arka-sentinel-macos-universal.zip

The macOS package no longer contains Windows-native .pyd binaries.

Distribution

Each public package includes:

  • Arka Sentinel runtime
  • Context Memory Engine
  • signed governance vault
  • local model cache
  • dashboard viewer
  • Git hook launchers
  • installer scripts
  • README and license

Upgrade Instructions

Replace your existing Arka Sentinel files with the v3.1.0 release package, then run:

python sentinel.py --init
python sentinel.py --sync-context

πŸ“’ Arka Sentinel v3.0.0

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πŸ“’ Arka Sentinel v3.0.0 β€” The Context Memory Engine

Release Date: July 2026

Arka Sentinel v3.0.0 represents the most significant evolution of the platform to date.

This release introduces the Context Memory Engineβ€”a new architectural foundation that enables repositories to preserve, understand, and continuously evolve their engineering knowledge over time.

Rather than validating code changes in isolation, Arka Sentinel now evaluates every proposed change against the accumulated architectural memory of the repository, helping engineering teams prevent structural drift, preserve design intent, and maintain semantic governance directly within the developer workflow.


🌟 Introducing the Context Memory Engine

Software systems accumulate knowledge faster than teams can document.

Repositories evolve.

Developers move on.

Architectural decisions fade.

Documentation becomes outdated.

The result is not simply technical debtβ€”it is context loss.

The Context Memory Engine addresses this challenge by continuously learning and maintaining the architectural memory of your repository using localized semantic vector embeddings.

Instead of asking:

"Is this code correct?"

Arka Sentinel now asks:

"Is this change consistent with the architectural intent of this repository?"


πŸš€ Major Features

πŸ”’ 100% Local-First & Zero Code Telemetry

Unlike cloud-dependent AI coding assistants, Arka Sentinel executes entirely on the developer's workstation.

Model inference (sentinel-core-v1), semantic vector embeddings, and cosine similarity evaluation all run locally on your CPU.

Highlights

  • 100% local execution
  • Zero source code uploads
  • Zero cloud dependencies
  • Zero telemetry collection
  • Air-gapped operation
  • Offline daily validation

Your proprietary source code never leaves your machine.


πŸ“ Continuous Architectural Drift Detection

Architectural integrity is now continuously protected.

The Context Memory Engine maintains a living semantic understanding of your repository and evaluates every staged change against its historical architectural baseline.

Capabilities

  • Detects gradual architectural drift
  • Identifies implementation inconsistencies
  • Preserves repository boundaries
  • Enforces dependency isolation
  • Protects long-term design integrity

βš–οΈ Repository Memory & Risk-Aware Validation

Not every file deserves the same level of governance.

Arka Sentinel assigns contextual risk based on repository knowledge and historical importance.

Critical areasβ€”including authentication, financial processing, persistence layers, and security boundariesβ€”receive stronger validation than lower-risk components.

Validation is no longer static.

It adapts to the repository itself.


🧠 Predictive Intent Validation

The Context Memory Engine compares a developer's declared intent with the actual implementation.

Commit messages are evaluated alongside staged code changes to identify intent drift before code is committed.

Examples

  • Feature commits that silently introduce breaking behavior
  • Refactoring commits that unintentionally alter business logic
  • Bug fixes that bypass architectural constraints

By validating both what changed and why it changed, Arka Sentinel provides a deeper level of repository awareness.


πŸ”„ Continuous Context Synchronization

Repository memory is no longer static.

The Context Engine continuously refreshes repository knowledge as development progresses.

This enables Arka Sentinel to:

  • Learn from repository evolution
  • Remove stale context
  • Maintain architectural consistency
  • Preserve institutional engineering knowledge
  • Continuously evolve repository memory

Your repository's memory grows together with your repository.


πŸ›‘οΈ Autonomous Licensing & Frictionless Delivery

The commercial infrastructure behind Arka Sentinel has been fully automated.

Following a successful purchase, the platform automatically performs:

  • Secure license generation
  • Ed25519 cryptographic signing
  • Automated email delivery

Simply place your issued:

.arkasentinel.key

into your repository root.

Daily license validation remains:

  • 100% offline
  • Hardware-bound
  • Cryptographically verified

No routine communication with cloud licensing services is required.


πŸ” Hardened Governance Pipeline

Repository governance is protected through multi-layer cryptographic verification.

Every governance package is verified using canonical Ed25519 signatures before execution, ensuring repository policies remain trusted and resistant to local tampering.

Built-in Governance Rules

  • DATABASE_INJECTION_01 β€” SQL Injection Detection
  • HEALTH_GDPR_HIPAA_01 β€” Sensitive PII / PHI Protection
  • PCI_DSS_CREDENTIALS_01 β€” Secrets & Credential Detection

πŸ“¦ Distribution

Arka Sentinel v3.0.0 is distributed as platform-specific, self-contained release packages.

πŸͺŸ Windows

arka-sentinel-windows-x64.zip

🍎 macOS / 🐧 Linux

arka-sentinel-macos-universal.zip

Each package includes:

  • Context Memory Engine
  • Local Semantic Runtime
  • Repository Governance Engine
  • Cryptographically Signed Memory Vault
  • Optimized .safetensors Model Cache
  • Native Platform Launchers
  • Automated Installation Scripts

πŸš€ Upgrade Instructions

This release introduces the Context Memory Engine and requires a one-time repository synchronization.

Step 1 β€” Refresh Repository Hooks

python sentinel.py --init

Step 2 β€” Build Repository Memory

python sentinel.py --sync-context

During synchronization, Arka Sentinel will:

  • Learn repository structure
  • Build semantic vector relationships
  • Initialize repository memory in SQLite
  • Establish the architectural baseline for future validations

🌍 Why This Release Matters

Traditional development tools understand syntax.

Static analysis tools understand patterns.

Security scanners understand vulnerabilities.

Arka Sentinel understands repository context.

It preserves the architectural decisions, implementation boundaries, and engineering knowledge that repositories naturally lose over time.

That accumulated memory becomes the foundation upon which every future code change is evaluated.


πŸ›‘οΈ Arka Sentinel v3.0.0

The Context Memory Engine

Helping repositories remember what engineering teams eventually forget.


Β© 2026 Arka Sentinel. All Rights Reserved.

πŸ“’ Arka Sentinel v2.1.0

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πŸ“’ Arka Sentinel v2.1.0 β€” Production Release

Release Date: June 2026

Arka Sentinel v2.1.0 marks a significant milestone in the platform's evolution, establishing the product as a fully autonomous Context Memory Engine for repository governance.

This release introduces a redesigned licensing architecture, automated provisioning workflows, enhanced integrity verification, and improved runtime consistency while preserving Arka Sentinel's local-first philosophy.


✨ Highlights

🧠 Context Memory Engine

Arka Sentinel now operates as a unified repository context engine.

Rather than relying solely on reactive pattern matching, the platform evaluates repository changes against signed governance policies and contextual validation rules to help preserve architectural intent throughout the software lifecycle.


πŸ” Hybrid Licensing Architecture

A new licensing model has been introduced to prioritize both developer productivity and operational security.

Key Improvements

  • Fully local validation during normal development
  • Grace-period support for uninterrupted workflows
  • Lightweight online license status checks only when required
  • Air-gapped execution for day-to-day repository validation

This approach minimizes operational overhead while maintaining a secure licensing experience.


βš™οΈ Automated License Provisioning

The commercial activation workflow has been fully automated.

Successful purchases now trigger an end-to-end provisioning pipeline that delivers production activation without manual intervention.

Benefits include:

  • Automated fulfillment
  • Faster activation
  • Simplified onboarding
  • Reduced operational overhead

πŸ›‘οΈ Memory Integrity Verification

Arka Sentinel now validates the integrity of its local runtime assets before initialization.

At startup, the engine performs SHA-256 verification of the bundled semantic model resources to ensure runtime consistency and detect unexpected modifications.

Protected assets include:

.model_cache/

This additional integrity layer strengthens the platform against local tampering and accidental corruption.


πŸ”§ Platform Improvements

Git Hook Consistency

Git hook installation has been standardized to use the active Python interpreter associated with the current virtual environment.

Benefits include:

  • Consistent behavior across platforms
  • Reliable virtual environment detection
  • Improved cross-platform compatibility
  • Simplified installation experience

Supported platforms:

  • Windows (x64)
  • macOS
  • Linux

Dashboard Improvements

The terminal dashboard has been refined to improve readability.

Changes

  • Restored rolling display of the most recent 20 validation events
  • Improved historical navigation
  • Clear references to the complete telemetry ledger for detailed auditing

Git Workflow Improvements

Improved repository synchronization during automated Git operations.

This release resolves several path handling issues affecting internal repository updates and ensures reliable tracking of application components without triggering unnecessary governance blocks.


πŸ“¦ Distribution Packages

Arka Sentinel v2.1.0 is distributed as platform-specific release packages.

πŸͺŸ Windows

arka-sentinel-windows-x64.zip

Includes:

  • Validation engine
  • Signed governance rule store
  • Embedded semantic model
  • Native launcher
  • Local runtime assets

🍎 macOS

arka-sentinel-macos-universal.zip

Includes:

  • Universal validation engine
  • POSIX-compliant launcher
  • Embedded semantic model
  • Local runtime assets

πŸ›‘οΈ Validation & Stability

Arka Sentinel v2.1.0 has been validated against the complete production governance rule set.

Validation includes:

  • Rule integrity verification
  • Runtime consistency checks
  • Cross-platform execution testing
  • Repository workflow validation
  • Licensing workflow verification

The platform is considered production-ready for deployment.


πŸš€ Upgrade Notes

Existing users are encouraged to upgrade to v2.1.0 to benefit from:

  • Autonomous license provisioning
  • Improved runtime integrity verification
  • Enhanced Git workflow consistency
  • More resilient virtual environment handling
  • Refined dashboard experience

πŸ” Security Model

Arka Sentinel continues to follow a strict local-first architecture.

Repository Protection

  • No source code uploads
  • No cloud inference services
  • No telemetry collection
  • Offline validation by default

Runtime Characteristics

  • Local CPU execution
  • Lightweight runtime
  • Native Git integration
  • Cross-platform support

πŸ™ Thank You

Thank you to everyone who evaluated, tested, and provided feedback throughout the v2.x release cycle.

Your input continues to shape Arka Sentinel's evolution as a repository context and architectural governance platform.


πŸ›‘οΈ Arka Sentinel v2.1.0

Universal Architectural Context Memory Engine

Preserving repository knowledge before code leaves the workstation.


Β© 2026 Arka Sentinel. All Rights Reserved.

Arka Sentinel v2.0.0

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πŸ“’ Arka Sentinel v2.0.0 β€” Production Release Notes
We are incredibly proud to announce the official release of Arka Sentinel v2.0.0. This milestone release moves code governance entirely past the era of brittle, regex-based parsing tools and establishes a high-performance, 100% local, zero-egress semantic guardrail at the developer pre-commit boundary line.

πŸš€ Core Engineering Improvements
Deterministic Compile-Time Vectorization:
Rather than introducing network roundtrips or heavy runtime model loading to the local developer workflow, the system introduces a frozen rules architecture. The compiler pre-computes dense vector float arrays for the entire 24-rule core governance matrix at build-time. These maps are frozen and cryptographically signed into an optimized binary ledger (release_memory.bin).

Sub-120ms Performance Fast-Path:
By cross-referencing pre-calculated vector slices on local host CPUs instead of executing live runtime embeddings on your entire ruleset, the local pre-commit interceptor hook successfully achieves a sub-120ms footprint, keeping developer commit loops completely frictionless.

Air-Gapped Privacy (Zero Network Egress):
To fit strictly regulated corporate data center and developer environment profiles (such as PCI-DSS and HIPAA domains), the machine-learning pipeline has been completely air-gapped. The required model weights are packaged and isolated natively inside an internal directory (.model_cache/), completely eliminating live outbound API lookups and external telemetry exposures.

Dynamic Staging Context State Integration:
When a semantic risk threshold is breached, the hook halts the transaction stream, maps out the exact code functional layer (e.g., Data Storage Layer, Network API Boundary, or Business Logic Core), and dynamically generates an execution ledger artifact (generated_artifacts/context_state.md) to guide the engineer directly through precise compliance remediation.

Hardened Cryptographic Verification Gates:
Execution pipelines are organized defensively. The local runtime executes fail-fast Ed25519 asymmetric signature verification on the rules engine container first, backed by unique local hardware configuration fingerprints and secure fail-open handlers.

πŸ“¦ Distribution Deliverables Included
Your production packaging workflow produces two distinct target distribution archives optimized natively for your platform infrastructure requirements:

Plaintext

dist/
β”œβ”€β”€ arka-sentinel-windows-x64.zip # Pre-packaged for Windows (Includes native .model_cache)
└── arka-sentinel-macos-universal.zip # Pre-packaged via Git Core (Enforces proper POSIX permissions and LF lines)
Each platform release bundle includes the following core operational architecture files:

engine_v2.py: The core semantic context processing engine.

dashboard_view.py: The management UI view layer for security telemetry visualizations.

release_memory.bin: The production-signed, pre-computed 24-rule semantic matrix vault.

dist_launcher_windows.bat / dist_launcher_unix.sh: Defensive, injection-proof, system environment wrappers designed to launch the local intercept hooks smoothly.

πŸ›‘οΈ Verified Security & Compliance Attestation
Before generating distribution archives, this release was subjected to an adversarial pre-ship validation suite (smoke_test.py), achieving 100% compliance across all automated validation gates:

Plaintext

=== Arka Sentinel pre-ship smoke test ===

βœ“ Present: engine_v2.py
βœ“ Present: dashboard_view.py
βœ“ Present: release_memory.bin
βœ“ engine_v2.py has no internal duplication (1 main block)
βœ“ dashboard_view.py has no internal duplication (1 main block)
βœ“ engine_v2.py compiles cleanly
βœ“ dashboard_view.py compiles cleanly
βœ“ dist_launcher_unix.sh has clean LF line endings
βœ“ dist_launcher_unix.sh shebang line is clean
βœ“ dist_launcher_unix.sh executable attribute mapping verified safely
βœ“ release_memory.bin signature VERIFIES against the public key embedded in engine_v2.py
βœ“ Vault contains 24 rules
βœ“ dist_launcher_windows.bat correctly quotes forwarded arguments
βœ“ End-to-end simulation: launcher correctly detected and blocked the injected violation

============================================================
βœ“ SMOKE TEST PASSED β€” build is clear to zip and ship.
βš™οΈ Post-Deployment Verification Note
To activate the semantic guardrails inside a newly initialized source workspace, developers simply drop the appropriate launcher into their local configuration:

Bash

For macOS / Linux systems, always ensure execution permission mappings are applied:

chmod +x dist_launcher_unix.sh

πŸš€ Arka Sentinel v1.1.1 Release Notes

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πŸš€ Arka Sentinel v1.1.1 Release Notes

Release Date: June 2026

Arka Sentinel v1.1.1 is a critical production-grade release that significantly strengthens the platform's security architecture and runtime resilience.

This update introduces a hardened asymmetric cryptographic trust model, aligns the active enforcement engine with documented compliance controls, improves cross-platform reliability, and adds persistent operational telemetry for audit visibility.


✨ Highlights

πŸ”’ Asymmetric Security Overhaul

Ed25519 Cryptographic Trust Model

Arka Sentinel now utilizes an asymmetric cryptographic architecture based on Ed25519 digital signatures.

This release removes dependency on shared symmetric secrets and introduces a vendor-signed verification model for rule integrity validation.

Rule Ledger Verification

The validation engine now verifies the integrity of the local rules ledger on every execution cycle.

Protected artifact:

release_memory.bin

The engine uses an embedded vendor public key to validate the authenticity of the rules package before allowing execution to continue.

Tamper-Resistant Enforcement

Any unauthorized modification of the local rule definitions triggers an immediate signature verification failure.

When tampering is detected:

πŸ›‘οΈ Signature Verification Failed

Rule Ledger Integrity Compromised

Commit Blocked

The validation engine fails closed to preserve repository boundaries and policy enforcement.


πŸ“‹ Compliance Matrix Alignment

The active enforcement engine now directly maps runtime validations to documented compliance controls.

Supported Rule Matrices

Rule Identifier Domain Description
DATABASE_INJECTION_04 OWASP Detects direct SQL execution paths that bypass sanitization layers
HEALTH_GDPR_HIPAA_02 Compliance Restricts movement of raw PII and PHI across unauthorized boundaries
PCI_DSS_CREDENTIALS_03 Credentials Detects plaintext cardholder data, API keys, and secret assignments
FINANCIAL_COMPLIANCE_01 Finance Flags unauthorized ledger mutations outside approved accounting controls
MULTI_TENANCY_ISOLATION_05 Tenant Isolation Detects tenant access without active isolation context
SRE_RESOURCE_LIMITS_06 Reliability Engineering Identifies excessive resource allocation patterns and service overconsumption

This release establishes direct alignment between enforcement behavior and published compliance documentation.


🍎 Cross-Platform Runtime Hardening

Linux Model Cache Fix

Resolved a case-sensitivity issue affecting Linux and Ubuntu systems.

Previous Behavior

Certain Linux environments could incorrectly resolve the local transformer cache path due to casing inconsistencies:

all-MiniLM-L6-v2

This occasionally resulted in silent fallback behavior.

Current Behavior

Model discovery now resolves consistently across:

  • Ubuntu

  • Debian

  • Fedora

  • CentOS

  • macOS

  • Windows


Multi-Interpreter Launcher Resilience

Enhanced the Unix launcher with an adaptive interpreter fallback chain.

Resolution Order

Active Virtual Environment
        ↓
python3
        ↓
python

This prevents startup failures on minimal shell environments and improves portability across heterogeneous developer workstations.


Secure Subprocess Execution

Removed shell-dependent execution patterns across system identity discovery routines.

Improvements

  • Eliminated shell=True execution paths

  • Reduced shell injection attack surface

  • Removed common SAST scanner warnings

  • Improved platform consistency


πŸ“œ Persistent Telemetry & Audit Logging

Rolling Violation History

Arka Sentinel now maintains a persistent execution ledger.

New Artifact

violation_history.jsonl

Previous Behavior

Validation history was discarded after successful executions.

Current Behavior

The platform now preserves the most recent execution history in a rolling FIFO ledger.

Tracked events include:

  • Validation failures

  • Validation warnings

  • Rule triggers

  • Commit blocks

  • Runtime integrity failures

The ledger automatically retains the latest ten execution cycles.


πŸ“¦ Distributed Artifacts

This release includes two platform-specific deployment packages.


πŸͺŸ Windows Distribution

arka-sentinel-windows-x64.zip

Includes:

  • Validation engine

  • Compliance rule assets

  • Dashboard components

  • Relative resource layouts

  • Native launcher

dist_launcher_windows.bat

🍎 macOS Universal Distribution

arka-sentinel-macos-universal.zip

Includes:

  • Matching validation core

  • Compliance rule assets

  • Dashboard components

  • Multi-interpreter launcher

dist_launcher_unix.sh

Compatible with:

  • Apple Silicon (M1 / M2 / M3)

  • Intel-based macOS systems


πŸ”„ Upgrade Instructions

To upgrade from previous builds to v1.1.1:


Step 1: Remove Legacy State

Windows PowerShell

Remove-Item -Path .\.git\.arkasentinel_lease.dat, .\.arkasentinel.key -Force -ErrorAction SilentlyContinue

This clears:

  • Evaluation state

  • Legacy signatures

  • Previous activation artifacts


Step 2: Deploy Updated Distribution

Extract the appropriate platform package directly into the repository root.

Example:

my-project/
β”œβ”€β”€ engine_v2.py
β”œβ”€β”€ dashboard_view.py
β”œβ”€β”€ release_memory.bin
β”œβ”€β”€ .git/
└── src/

Step 3: Initialize Git Hooks

Windows

python engine_v2.py --init

macOS / Linux

chmod +x ./dist_launcher_unix.sh
./dist_launcher_unix.sh --init

This process:

  • Generates Git hook bindings

  • Initializes runtime validation

  • Activates repository guardrails

  • Establishes context validation boundaries


Step 4: Verify Runtime Integrity

Run a validation sweep:

python engine_v2.py --verify "chore: perform runtime release validation tests"

Successful execution confirms:

  • Signature validation operational

  • Rule ledger integrity verified

  • Runtime configuration healthy

  • Hook installation successful


πŸ” Security Model

Repository Protection

  • No source code uploads

  • No cloud processing

  • No external telemetry

  • No remote inference services

  • No third-party dependencies

Runtime Architecture

  • Local-first execution

  • CPU-based processing

  • Offline operation

  • Repository-native integration

All repository context analysis remains fully contained within the developer workstation.


πŸ“ˆ Looking Ahead

The v1.1.x roadmap includes:

  • Expanded compliance policy packs

  • Advanced repository context intelligence

  • Organizational governance controls

  • Architectural drift analytics

  • Enhanced release assurance capabilities

  • Enterprise reporting integrations


βš–οΈ Licensing

Arka Sentinel operates under standard commercial licensing terms.

License verification is performed locally and does not require internet connectivity.


πŸ™ Thank You

Thank you to our early adopters, evaluators, and engineering partners whose feedback continues to shape Arka Sentinel.

Your input helps advance the mission of preserving repository context and architectural integrity directly within the developer workflow.


πŸ›‘οΈ Arka Sentinel v1.1.1

Repository Context Guardrails for Engineering Teams

Β© 2026 Arka Sentinel. All Rights Reserved. Proprietary Security Systems Infrastructure.

πŸš€ Arka Sentinel v1.1.0

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πŸš€ Arka Sentinel v1.1.0 Release Notes

Release Date: June 2026

Arka Sentinel v1.1.0 introduces critical platform hardening, deployment improvements, runtime validation fixes, and infrastructure updates that strengthen the platform's local-first architecture.

This release focuses on security, portability, repository hygiene, and deployment consistency across supported operating systems.


✨ Highlights

πŸ”’ Cryptographic Key Rotation & Engine Synchronization

Root of Trust Modernization

Upgraded the underlying validation framework to utilize a modern cryptographic signing architecture for local context verification and license enforcement.

Deterministic Signature Validation

Synchronized signature verification behavior across all distributed platform packages to ensure consistent runtime validation regardless of operating system.

The primary validation engine (engine_v2.py) now operates against a unified verification baseline across all release distributions.


πŸ“ True Local-First Asset Isolation

Relative Resource Pathing

Migrated dashboard and front-end asset references from absolute paths to relative resource paths.

Previous:

/logo.png

Current:

logo.png

This change ensures:

  • Reliable offline execution
  • Portable deployment environments
  • Improved archive portability
  • Consistent local dashboard rendering

Hermetic Packaging Improvements

Verified all required runtime assets are fully self-contained within their respective platform distributions.

Included assets:

  • Validation engine
  • Dashboard components
  • Context memory cache
  • Rule definitions
  • Platform launcher scripts
  • Visual assets

No external dependencies are required after extraction.


πŸ›‘οΈ Security & Repository Hygiene

UTF-8 Repository Standardization

Replaced legacy UTF-16 encoded repository artifacts with standardized UTF-8 encoding.

Benefits include:

  • Improved PowerShell compatibility
  • Cleaner Git diffs
  • Cross-platform consistency
  • Reduced character encoding issues

Secret Protection & Ignore Rules

Strengthened repository protection boundaries through updated ignore policies.

The following assets are now explicitly excluded from source control:

.arkasentinel.key
__pycache__/
*.pyc
*.pyo

Additional runtime and evaluation artifacts are also protected from accidental publication.

This helps prevent:

  • License leakage
  • Credential exposure
  • Runtime cache commits
  • Local environment contamination

πŸ“¦ Distributed Artifacts

This release includes fully packaged platform-specific distributions.

πŸͺŸ Windows Package

dist/arka-sentinel-windows-x64.zip

Includes:

  • Validation engine
  • Repository guardrails
  • Context cache
  • Dashboard components
  • Native launcher
dist_launcher_windows.bat

🍎 macOS Universal Package

dist/arka-sentinel-macos-universal.zip

Includes:

  • Identical validation core
  • Cross-platform rule engine
  • Dashboard components
  • Universal shell launcher
dist_launcher_unix.sh

Compatible with:

  • Apple Silicon (M1/M2/M3)
  • Intel-based macOS systems

πŸ”„ Upgrade Instructions

To upgrade from an earlier beta release to v1.1.0:


Step 1: Remove Legacy Evaluation State

Windows PowerShell

Remove-Item -Path .\.git\.arkasentinel_lease.dat -Force -ErrorAction SilentlyContinue

Step 2: Deploy Updated Distribution

Extract the appropriate platform package directly into the repository root.

Example:

my-project/
β”œβ”€β”€ engine_v2.py
β”œβ”€β”€ dashboard_view.py
β”œβ”€β”€ release_memory.bin
β”œβ”€β”€ .git/
└── src/

Step 3: Register License Key

Place your issued license file in the repository root:

my-project/
β”œβ”€β”€ .arkasentinel.key
β”œβ”€β”€ engine_v2.py
└── .git/

Ensure the license file remains excluded from source control.

Recommended .gitignore entry:

.arkasentinel.key

Step 4: Initialize Repository Hooks

Windows

.\dist_launcher_windows.bat --install

macOS / Linux

chmod +x ./dist_launcher_unix.sh
./dist_launcher_unix.sh --install

This process:

  • Builds repository context mappings
  • Installs Git hook automation
  • Initializes local validation state
  • Activates repository guardrails

Step 5: Verify Installation

Run a validation sweep:

python engine_v2.py --verify

Successful execution indicates:

  • Engine integrity verified
  • Repository hooks active
  • Runtime configuration healthy
  • Licensing validated

πŸ” Privacy & Security Model

Arka Sentinel follows a local-first execution model.

Source Code Protection

  • No source code uploads
  • No external telemetry
  • No cloud inference services
  • No remote execution
  • No third-party dependencies

Runtime Characteristics

  • Fully local execution
  • CPU-based processing
  • Offline operation
  • Repository-native integration

All repository context analysis occurs exclusively on the developer workstation.


βš–οΈ Licensing

This release operates under standard Arka Sentinel licensing terms.

License validation is performed locally and does not require cloud connectivity.

For activation assistance or licensing inquiries, contact your authorized distribution channel.


πŸ“ˆ Looking Ahead

The v1.1.x roadmap includes:

  • Enhanced repository context intelligence
  • Expanded policy packs
  • Team governance controls
  • Architectural drift analytics
  • Release assurance integrations
  • Enterprise reporting capabilities

πŸ™ Thank You

Thank you to all early adopters, testers, and contributors helping shape Arka Sentinel.

Your feedback continues to drive the evolution of repository context guardrails and architectural memory preservation.


Arka Sentinel v1.1.0
Repository Context Guardrails for Engineering Teams

Β© 2026 Arka Sentinel. All Rights Reserved.

Arka Sentinel Production Release v1.0.1

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πŸ›‘οΈ Arka Sentinel Production Release v1.0.1 (Patch Build)

We are proud to announce the formal release of Arka Sentinel v1.0.1. This build transitions the platform into a completely isolated, local-first sandbox environment while fundamentally optimizing workspace reference tracking.

🧠 Core Product Capabilities (Verified MVP Status)

  • 100% Offline Processing: Local CPU thread loop execution with absolute processing isolationβ€”fully air-gapped with zero external network leaks, cloud dependencies, or telemetry tracking.
  • Sub-Second Execution Speed: Achieved target compliance gate speeds of 0.2s–0.4s directly at the local git pre-commit hooks lifecycle layer.
  • Cryptographic Licensing Layer: Local signature verification looking exclusively for .arkasentinel.key bound to specific hardware machine fingerprints.

πŸ› οΈ What's New in v1.0.1

  • Native Context Snapshots: Upgraded dashboard_view.py with an automated, zero-dependency snapshotting routine. On every evaluation loop, the tool now compiles a cumulative reference document (context_snapshot_YYYYMMDD_HHMMSS.md) tracking workspace rules and active drift.
  • Isolated Environment Sandboxing: Configured complete workspace execution boundaries within dedicated virtual environments (venv) to cut cords with the host system's global Python packages.
  • Legacy Refactoring & Purge: Completely removed old corporate multi-tenant network routers, Streamlit usage dashboards, and heavy PDF-rendering layout modules from active paths.

πŸ“ Packaged Distribution Assets

The attached arka-sentinel-windows-x64.zip binary archive includes:

  • engine_v2.py (Obfuscated core symbolic/neural execution engine)
  • release_memory.bin (AES-GCM 256-bit encrypted active rule ledger)
  • dashboard_view.py (Pure native terminal analytics console and snapshot generator)
  • database_layer.py / sample_code.py (Local contract reference playground environments)
  • technical spec/ (Comprehensive markdown documentation blueprints)

To initialize Arka Sentinel across your project, unzip the installation archive inside your workspace root directory and reference our updated README.md deployment steps.

Thank you for helping us defeat context decay completely offline!

Arka Sentinel Production Release v1.0.0

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πŸš€ Arka Sentinel v1.0.0 β€” Official Production Release

Welcome to the official production launch of Arka Sentinel v1.0.0.

This release introduces our secure, pre-compiled, local-first context engine designed to guard your codebase's architectural memory directly on your workstation.

🌟 What's Inside

  1. Secure Binary Distribution Architecture

To optimize machine performance and protect core intellectual property boundaries, Arka Sentinel is now completely decoupled from raw Python scripts.

This release introduces a standalone, optimized executable bundle distributed through a stable release package:

arka-sentinel-windows.zip
2. Offline Neuro-Symbolic Engine
Symbolic Validation

Hard deterministic checks utilizing real-time Abstract Syntax Tree (AST) parsing to evaluate structural design policies.

Semantic Memory Cache

Automatically mines local Git repository history during installation to build an offline relational context cache:

.arkasentinel/context_cache.bin

No cloud calls. No external APIs. No source code transmission.

  1. Zero-Friction Pre-Commit Automation

Arka Sentinel integrates directly into your native Git workflow.

Every time a developer executes:

git commit

the engine intercepts the operation and evaluates staged changes against repository context and active policy rules before code reaches shared pipelines.

Typical validation runtime:

0.2s – 0.4s
4. Automated Contextual Root Cause Analysis (RCA)

When a design boundary or repository policy is violated, Arka Sentinel blocks the commit and automatically generates a detailed remediation report:

.arkasentinel/context_state.md

The report includes:

Validation policy category
Architectural context that was violated
Repository-specific guidance
Recommended remediation steps
Suggested implementation path
5. Local Incident Ledger

Arka Sentinel maintains an offline incident history ledger:

.arkasentinel/incident_history.log

The ledger records:

Validation failures
Warning thresholds
System violations
Emergency bypass events
Review and audit history

This provides visibility during peer reviews and post-incident investigations.

πŸ“¦ Installation Artifact
Included Asset
arka-sentinel-windows.zip

Contains the pre-compiled native Arka Sentinel executable.

πŸš€ Getting Started
Step 1

Download the release asset attached below.

Step 2

Extract:

arka-sentinel.exe

into your repository root directory.

Step 3

Initialize the repository context cache:

./arka-sentinel.exe --install

The engine will analyze repository history and build its local context memory model.

Step 4

Continue using Git normally.

Arka Sentinel will automatically participate in future commit operations.

πŸ”’ Privacy & Security
100% local execution
No cloud dependencies
No source code uploads
No telemetry requirements
No external AI services
No recurring inference costs

Your code never leaves your workstation.