UnITE Industry Day_20241002_Final-Rev_C_Public-Release.pdf

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Ms. Destiny Laski Deputy Project Lead, ETI

PEO STRI

13 Nov 2024

Unified Integration and Transformation Enterprise (UnITE) Industry Day

Controlled by: US Army PEO STRI Controlled by: SFAE-STR-ETI CUI Category: CTI Limited Dissemination Controls: FEDCON POC: destiny.g.laski.civ@army.mil, 407-403-0910 mailto:destiny.g.laski.civ@army.mil

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PEO STRI

Digital Transformation

Establishing a Digital Engineering Strategy to transform acquisition approach

Adopting Modern Software Practices

Building upon and evolving the enterprise architecture Modular Open Systems Approach (MOSA)

Leveraging Unified Data Reference Architecture (UDRA) in a Data Mesh implementation

Embracing Artificial Intelligence/ Machine Learning

Embrace Agile contracting and leverage acquisition pathways to accelerate capabilities

Modern Cybersecurity Practices enabling cATO

Upscaling the workforce to support the Digital Transformation initiatives

UnITE Industry Day

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Introductions

Ms. Destiny Laski

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Agenda

• Opening Remarks

• Introductions

• UnITE Overview

• UnITE’s Role in the Enterprise Portfolio

• PEO STRI Data Initiatives Update

• PEO STRI Artificial Intelligence Update

• Questions and Answers Session/Industry Input

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PL ETI Mission

Enable Army modernization through agile acquisition, innovation, common architecture and Modular Open System Approach

(MOSA), driving synchronization across the Project Management Offices to deliver capability faster to the Warfighter.

PL ETI Vision Provide enterprise tools and services across PEO STRI to enable

Army Modernization

PL ETI

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UnITE Overview Mr. Brice Ott

Mr. Brian Kemper

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Digital Transformation

The Army Modernization Strategy identifies digital transformation as essential to modernize the Army.

The DoD Software Modernization Strategy and Implementation Plan, calls for delivering resilient software capabilities at the speed of relevance and targets the following outcomes – (1) Shift of secure software delivery left through modern infrastructure and platforms and (2) enablement of this shift through true process transformation and people development

Digital transformation represents a shift in operations and culture that fundamentally changes how the Army delivers value through investments in transformative digital technologies and builds the workforce into one with the training and experience needed to execute the full range of Army missions.

Policy and guidance continues to become more targeted and specific for how organizations are expected to operate their Digital Environments

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Current Policy

Software Bill of Materials Policy

(Aug 2024)

Army Unified Data Reference

Architecture (Mar 2024)

Software Metrics and Management

Policy (Apr 2024)

Digital Engineering Directive

(May 2024)

Digital Transformation

Strategy (Sep 2021)

Army Modernization Strategy

(Sep 2019)

Digital Engineering Policy

(Dec 2023)

Software Modernization

Directive (Mar 2024)

Data, Analytics, and AI Adoption Strategy

(Jun 2023)

Emerging Policies

Source Code and Software Artifacts

Storage Policy

Project Linchpin Policy

Data BOM Policy

Core Documents Shaping PEO STRI Digital Transformation

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Core Documents Shaping PEO STRI Digital Transformation

Software Bill of Materials Policy

(Aug 2024)

Army Unified Data Reference

Architecture (Mar 2024)

Software Metrics and Management

Policy (Apr 2024)

Digital Engineering Directive

(May 2024)

Digital Transformation

Strategy (Sep 2021)

Army Modernization Strategy

(Sep 2019)

Digital Engineering Policy

(Dec 2023)

Software Modernization

Directive (Mar 2024)

Data, Analytics, and AI Adoption Strategy

(Jun 2023)

Acquisition Reform

Modernized Pipeline

AI/ML

Analytics

Enterprise Architecture

Common Data Models

Data Mesh

DevSecOps

VAULTIS

Data

Data Transport

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The PEO STRI Digital Transformation Journey

Current Challenges Path Forward

Inefficient means of sharing and utilization of data resulting in suboptimal decision-making increasing the time to deliver and risk to successful program performance

Disparate and siloed data

Non-standard siloed business environments

Non-digital artifacts with manual processes

Lack of digital transformation awareness

Ability to rapidly share, analyze, and make enterprise decisions by linking environments, communities, and data resulting in informed, rapid and confident decisions reducing time to delivering and risk to program success

Ability to follow workflow from operational capability, to requirements, acquisition programs and test, while staying integrated across the entire lifecycle.

Integrating, not synchronizing (with paper, meetings or email), what we do today in separate communities through digital threads.

DEVELOPING

MODEL-BASED

ACQUISITION

ENABLING

ARCHITECTURE

ADOPTION

AUTOMATING

BUSINESS &

TECHNICAL

PROCESSES

REDUCING RISK

& REDUNDANCY

IMPLEMENTING

LARGE SCALE

DATA ANALYTICS

Lines of Effort

1. Enterprise Architecture

2. Digital Environment (UNITE)

3. Enterprise Data

4. Industry Engagement

5. Workforce

We will explore, share lessons learned, and build momentum across the enterprise in adoption of digital transformation focused along five lines of effort.

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UnITE Construct Concept UNITE is:

• One Stop Shop for Vendor Engagement

• Implementing and Scaling Modern Software Practices

• Evolving an enterprise open architecture towards a Modular Open Systems Approach

(MOSA)

• Developing a Digital Engineering Strategy with DevSecOps Platform and Continuous Integration & Continuous Delivery (CI/CD)

• Implementing Data Mesh underpinning a Unified Data Reference Architecture (UDRA)

• Enterprise GovernanceSTRI Transport Network

NOSC

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UnITE Construct Concept UNITE is:

• One Stop Shop for Vendor Engagement

• Implementing and Scaling Modern Software Practices

• Evolving an enterprise open architecture towards a Modular Open Systems Approach

(MOSA)

• Developing a Digital Engineering Strategy with DevSecOps Platform and Continuous Integration & Continuous Delivery (CI/CD)

• Implementing Data Mesh underpinning a Unified Data Reference Architecture (UDRA)

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UnITE Construct Concept UNITE is:

• One Stop Shop for Vendor Engagement

• Implementing and Scaling Modern Software Practices

• Evolving an enterprise open architecture towards a Modular Open Systems Approach

(MOSA)

• Developing a Digital Engineering Strategy with DevSecOps Platform and Continuous Integration & Continuous Delivery (CI/CD)

• Implementing Data Mesh underpinning a Unified Data Reference Architecture (UDRA)

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UnITE Construct Concept UNITE is:

• One Stop Shop for Vendor Engagement

• Implementing and Scaling Modern Software Practices

• Evolving an enterprise open architecture towards a Modular Open Systems Approach

(MOSA)

• Developing a Digital Engineering Strategy with DevSecOps Platform and Continuous Integration & Continuous Delivery (CI/CD)

• Implementing Data Mesh underpinning a Unified Data Reference Architecture (UDRA)

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UnITE Construct Concept UNITE is:

• One Stop Shop for Vendor Engagement

• Implementing and Scaling Modern Software Practices

• Evolving an enterprise open architecture towards a Modular Open Systems Approach

(MOSA)

• Developing a Digital Engineering Strategy with DevSecOps Platform and Continuous Integration & Continuous Delivery (CI/CD)

• Implementing Data Mesh underpinning a Unified Data Reference Architecture (UDRA)

• Enterprise GovernanceSTRI Transport Network

STRI Transport Network

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UnITE’s Role in the Enterprise Mr. Chad Thomas

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UnITE Construct - Big Picture

DO

M

AI

N S

Live

STIA

CTIA

Synthetic

STE-SW

OneSAF

JLCCTC

Intel

IEWTPT

Test

XLCC

Threats

TBCF

Cyber

PCTE

U nI

TE

C

O N

ST

RU

CT

Enterprise Architecture Governance Model

Enterprise Core Asset

• Interoperability

• Shared Requirements

Common Data Model

• Common Languages

• Data Standardization

• Data Reuse

Reference Architecture

• Documented Relationships

• Managed ICDs

• Data Structure

U nI

TE

P or ta l

UnITE Integrated Development Environment Consolidated Traditional

Pipelines DevSecOps Platforms (DSOP)

SW Modernization

Deploy Modernized Toolset Pipeline

Integration & Test Network Digital Integration Lab (DIL) Program I&T Labs

ST

R

I T ra ns po rt N et w or k

(S

TN

N et w or k

O pe ra tio ns a nd S ec ur ity C en te r ( N

O

SC

CI/CD

Critical System Updates

Operational Sites

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UnITE Construct - Portal

Forward-facing portal for all STRI programs

Program defined Collaboration Areas

Role-base Access Control (RBAC)

Available to a broad community

Multifactor Authentication

CAC not required

UnITE Enterprise Core Asset Support

Capable for hosting CUI

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UnITE Construct – Enterprise Architecture

Digital Engineering Approach to Program Modernization:

• Product Line Management

• Governance

• Enterprise Architecture

• Shared Data Model

• Multi-Lingual Approach

Enterprise Core Asset Library:

• Commonality

• Reusability

• Sustainability

Establish a Governance Model to effectively manage shared requirements

Common Design Principles:

• High Composability

• Modular Open Systems Architecture

(MOSA)

• Enable Enterprise Data Strategy

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PEO Enterprise Portfolio Evolution

Intel

STE Live

STE Synthetic (Constructive)

Live Instrumentation

Threats

MDOE

STE Synthetic (Virtual)

CTC

Rotations

WFXTest & Evaluation

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UnITE Construct – Integrated Development Environment (IDE)

Single, Government-owned Development Environment

Available to developers from .mil and non-.mil

Enables access to all necessary pipelines and repos

Enables integration between pipelines and code bases

Traditional and Modern DSO Toolsets

Integrates with I&T Labs

Setup to ensure data segregation where needed, using RBAC

Infrastructure as a Service model

Enables Cybersecurity functions to be provided by the enterprise, as a service

Enables an enterprise-approach to an ATO for the Development network

Reduces Cyber burden to programs

CONTROLLED UNCLASSIFIED INFORMATION

CONTROLLED UNCLASSIFIED INFORMATION

Advancing Today’s Training Defeating Tomorrow’s Threats

UnITE DevSecOps

Evolving for Support for DevSecOps and Infrastructure as Code

Test Tools Traceability

Vulnerability Scan

Infrastructure as CodeSchema

Migration

Issue Tracking/ Planning

IDEs

Requirements

MBSE

CM

Peer Review Code

Image Repo

PLE

Build

Project Build

Static Code Analysis

Container Orchestration

Service Framework

O/SContainer

API

Gateway

Static Content Delivery

Messaging

Database Dashboards/ Metrics

M etrics

Vulnerability Scan

Collaboration LT2 Portal

C++ C#

CONTROLLED UNCLASSIFIED INFORMATION

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UnITE-IDE Program Onboarding

UnITE-IDE Infrastructure

Integration and Test Labs

DS

O

Pl at fo rm s/ Se rv ic es Existing UnITE Toolset

• Jira/Confluence

• BitBucket

• Jenkins

• Nexus

• Maven

• Mattermost

• Kubernetes

• Rancher

• Docker

• Springboot

• Istio

• Elastic stack

• Ansible

Big Bang Modernization Toolset

• Jira/Confluence

• GitLab

• Harbor

• Istio

• Grafana

• Prometheus

• Trivy

• Argo

DevSecOps Toolset

• SAST

• Sonarqube (SAST)

• SonarLint extensions (Eclipse, Visual Studio, VSCode)

• DAST

• Acunetix

• SCA/SBOM/Continuous CVE checking

• Dependency Check

• Dependency Track

• Container Security

• Prisma Cloud

Managed Internet Access Point (M-IAP) Single CSSP

Pr od uc t

Pi pe lin es

Modernized Pipeline

Deploy Dev Environment in Kubernetes

Deploy Modernized Toolset Pipeline

Traditional Pipeline Integrate DSO Toolset

Merge back w/ Main Branch in DE

Deploy Traditional Toolset Pipeline

Integrate Legacy Build Environment into UnITE-IDE

UnITE Portal (GUI) Virtual Desktop Interface (VDI) Zero-Trust Contractor Development Box

Government Furnished Equipment (GFE)

Management Plane

• Microsoft Infrastructure Services • Virtualization Layer • Containers • Security Services

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UnITE Construct – I&T Lab Network

Interconnected Integration and Test Labs

Enables improved integration testing between programs/products

Enables automated integration and regression testing

Enables remote access to all necessary labs for admins/engineers

Enables integration testing with virtualized Mission Command

Provides an authorized, managed internet access point for all labs to attain necessary updates

Enables an enterprise-approach to an ATO for the lab network

Reduces Cyber burden to program’s

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UnITE Construct – STRI Transport Network (STN)

Network Tailored to STRI Portfolio Requirements and CRNs

Centralized Network Operations and Security Center

Remote Delivery of Updates to sites

Remote Troubleshooting

Remote Exercise Support

Remote Incident Response

Remote FISMA/Validation

Remote Verification of Updates and Security Configuration

Enterprise Security Operations Capabilities (eSOC)

Enabling Training as a Service Architecture

Enabling Faster Deployments

Reducing Maintenance Footprint

CONTROLLED UNCLASSIFIED INFORMATION

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STN CAPSET 1 - OV-1

EXISTING TRANSPORT NETWORKS

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STN and DSOP - Capability Sets STRI Training Network (STN)

DevSecOps Platform (DSOP) Capability Set 3: RESILIENCE & SURVIVABILITY

• CI/CD Pipeline Integration

• Faster Delivery/Deployment

• Test Driven Development (TDD)

• Faster Identification of Bugs

• Test Domain Mirrors Production

• Automated Testing

• Automated Microservice Recovery

• High Resilience & Survivability

• Rapid Deployments (IaC/Orchestration)

• Reduced maintenance timelines

Capability Set 2: SERVICES & UTILITIES

• Consolidated Tools & Services

• Interconnectivity from DEV to Integration & Test Labs

• Managed Internet Access Point (M-IAP)

• DevSecOps (SW Assurance & DAST Automation)

• Trusted Download Repo

• Centralized Knowledge Base

• Remote Developer Access to Test Environments

Capability Set 1: Development Environment/Pipeline

• Common Integrated Development Environment (UnITE-IDE)

• Better Buying Power through common Infrastructure

• DSO Pipelines available under Pilot

• Remote Developer Access to DSO Platform

• Internet Access to Development Environment

• High speed access to Developed Products

• Consolidated Cybersecurity/RMF

Capability Set 3: RESILIENCE & SURVIVABILITY

• Training as a Service (TaaS) Architecture

• Centralized Exercise Control

• Rapid Deployments (IaC/Orchestration)

• Virtual Redundancy/Continuity

• Fault Tolerance/High Availability

• “Blue/Green” Deployments

Capability Set 2: SERVICES & UTILITIES

• Interconnected Integration & Test Labs

• Managed Internet Access Point (M-IAP)

• Shared Cybersecurity Services Provider (CSSP)

• Trusted Download Repo

• Enterprise Security Operations Center (E-SOC)

• Centralized Security Configuration Management

Capability Set 1: CONNECTIVITY

• Centralized Network Operations and Security Center

• Remote Delivery of Updates (STIGs, patches, SW updates)

• Remote Troubleshooting

• Remote Exercise Support

• Remote Incident Response

• Remote FISMA/Validation

• Remote Verification of Updates and Security Configuration

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Continual Commitment

Ease insertion of new and emerging technology

Establish and standardize a governance process for the enterprise

Reduce development, deployment, & sustainment costs

Reduce barriers of entry for small business

Maximize transition from S&T programs

& other partners

Enable data driven decisions across system acquisition lifecycle

Efficiently execute cyber mandates & monitoring risk management

Reuse

Support the Army vision to enable MDO

Partnering with industry to deliver enterprise efficiencies that align to Army modernization priorities

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PEO STRI Data Initiatives Update Mr. Amit Kapadia

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PEO STRI Layered Data Strategy:

Capitalizing Pilots to Advance Digital Transformation

Data-Centricity Scene Setter1

STRATEGIC GUIDANCE

EXECUTION LEVEL POLICIES

PEO STRI TAILORED APPROACH

2021 Data Centric Enterprise

2022 Army Data Plan

2024 SW Modern.

Directive

2024 Unified Data Ref Arch (UDRA) v1 Spec

2024 SW Bill of Material (SBOM) Policy

2024 STRI Data Execution Strategy

2024 STRI

Implementation Plan

FY23 Data Blueprint Pilot2

End-to-End Data Mission Thread Definition (e.g. Force Structure)

Sub-Threads Overlaid on

Architecture, APIs, Datastores, Schemas, Exchanges, Translations

Dynamic, Composable Views Linked to APIs, Software Factory Steps thru Data Lifecycle

VAULTIS Rubric & Assessment of Data Thread

FY24 UDRA Informing Pilot3

Rapidly orient to UDRA concepts (producer, consumer, mesh, catalog, etc)

Partnered with DASA(DES) & C5ISR to pilot OWT products into UDRI catalog with associated metadata for round-trip consumption for

Training Data Domain

OWT 3D Tile dataset product meta-data tagged, produced, cataloged and consumed end-to-end with UDRI services

Lessons Learned / Next Steps

• Employ bi-directional, iterative feedback to tailor PEO STRI data strategy through advanced pilots

• Data-centricity requires Talent Upskilling, Governance & Cultural Adoption (knowledge portals, cross-PEO linkages)

• Advance STRI portfolio across HW, SW, Data

• Incorporate with ASA(ALT) and PEO EIS data infra (Vantage, UDRA) as pillars to advance Dig Transformation & AI efforts being executed in FY25

Future STRI Opportunities will fold these Data Principles in!

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PEO STRI Artificial Intelligence Update Mr. Marwane Bahbaz

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PEO STRI AI Implementation Strategy

Vision Deliver superior AI capabilities to support Testing, Cyber and Training Programs and validate decision advantage outcomes to ensure readiness

Policies 100/500 ASA ALT AI Implementation Plan Implementation of the Army’s Artificial

Intelligence Operations and Services (AIOps+) through Project Linchpin

Unified Data Reference Architecture

Partners

Objectives Accelerate development of AI to support on going modernization initiatives Serve as the Army acquisition authority for

Intelligent M&S enablers Build enduring/productive partnership with

Linchpin & Shape Army AI implementation plan

Deploy first AI enabling system by FY26

Approach Identify AI categories and impactful use cases

Increase Investments by pursuing deliberate AI capabilities to enable mission requirements starting with STE programs

Shape S&T AI efforts and aggressively pull tech where appropriate Innovation cell

Pursue Joint RFIs with Linchpin Insert AI tech into STP tempo (Quick Win)

Output AI core assets to enable our systems Data Implementation Reference

Architecture Governance to develop enduring and effective pipeline between Linchpin AIOps and STRI DSOPs

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STRI AI Focus Areas

Synthetic Observer Controller

Combat Realism

AI Model Driven Simulation

Network

Provides real time high fidelity observations and feedback of warfighting performance at every echelon Measure effectiveness of doctrine and its implementation in the LVC environment Enable intelligent and objective tutoring

Simulates BLUFOR collective Kinetic and non Kinetic warfighting functions in MDO using GenAI models/algorithms to increase unpredictability and complexity

Simulates OPFOR pear adversaries in MDO using Intel trained GenAI models/algorithms to increase unpredictability, realism and complexity

Produce combat environment verse using GenAI to increase realism and cognatic stress in synthetic environment

Leverage computer vision for target recognition to replicate BCT weapons/kinetic engagements Replicate large causality in LVC collective training environment to exercise First responder and

Combat Medics Leverage Intelligent Autonomous algorithms training by real combat maneuver scheme in FoF for robotic targets to enable more complex and realistic precision (Live Fire) training.

Terrain Modeling

Produces Intelligent models to enable distributed computing suited for each simulation applications in real time

Predict RF network performance based on the terrain condition, range instrumentation and exercise load

Enable Intelligent and Automated frequency/band changes within the approved spectrum in real time to accommodate performance degradation and EW controlled attack (Jamming)

Establish rapid 3D terrain pipeline from multisource geospatial datasets Employ innovative data collection technique from the live involvement to enhance terrain picture and train the predictive models.

Infer accurately location, type and material structures of objects

In planning

In progress

Not started

In planning

In progress

AI enabled Acquisition Implement intelligent system that produces acquisition documentation, including requirements package and more.

Leverage model-based learning to facilitate MBSE process.

In progress

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AI Acquisition Approach & Initiative

Centralized AI/ML Infrastructure and Services

AI Acquisition Playbook

Counter AI Capabilities

Army AI Ecosystem-MLOPSSTRI AI Tech Development/Prototyping

STRI DevSecOps Integration/Test/Release/Deployment

AI proficiency Program AI Layer Defense

Farmwork AI Reference Arch

AI Core Asset

Data insertion

AI Model Development

AI enabled systems

STRI Intelligent System Sustainment Ecosystem (Enduring Modernization Pipeline)

Partner Request For Information

Release Date ~10 OCT Responses ~ 10 NOV

Seeking AI models and frameworks you use for M&S Training and Testing domains

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What’s on Your Mind?

Thanks for your pre-sent questions – we’ll lead off with those

• Additional questions – use the cards on your chairs and send to the aisle ends; we’ll collect and hit those next