Cloud Architect

2.3 AI Capability Deployment & Toolchain Integration

• Operationalize Gemini Government and Google Codemenderor equivalent directly inside active workflows, showing security analysts and application developers how to leverage generative AI to automate log parsing, threat hunting, and source-code remediation.
• Engineer automated data pipelines to feed the centralized enterprise platform (incorporating telemetry from Tenable.io, Google Mandiant ASM, Microsoft Azure Arc, Splunk, and Google SecOps) to maintain a single, authoritative pane of glass.
• Ensure all AI-assisted capabilities comply strictly with State privacy, data classification, and logging safeguards, preventing non-public vulnerability metrics from leaking into unvetted environments.

2.4 Governance Safeguards & Escalation Automation

• Build automated low-code workflows to manage the SI-2 time-bound exception lifecycle, ensuring every granted exception maps back to a named owner, specific compensating controls, and an explicit financial tiedown capturing technical debt.
• Configure automated alert thresholds and workflow routing for significant business risks that exceed normal management tolerance, ensuring rapid escalation in line with the SI-2 update.

3. Project Timeline

Project

Description

Target Schedule

1: SI-2 Baseline & Architecture Alignment

Mapping of all automated data feeds (Tenable, Mandiant, Azure Arc) into the single authoritative platform, aligned to track Tier 1, 2, and 3 findings.

Day 30

2: Co-Engineered AI Playbooks

Delivery of production-ready LLM and Frontier Cyber model runbooks and prompt libraries, co-developed with internal staff via hands-on mentoring.

Day 45

3: Automated Exception & Escalation Engine

Implementation of automated workflow paths for time-bound exceptions, financial tiedowns, and high-risk executive escalation paths.

Day 60

4: DevSecOps Clean Deployment Framework

Standardization of approved repository templates and CI/CD security gate controls to enforce clean deployment preferences.

Day 75

5: Knowledge Transfer & Sustainment Hand-off

Final technical transition briefing, configuration documentation, and validation logs proving internal staff autonomy in sustaining the SI-2 operational baseline.

Day 90–365 (Ongoing)

4. Minimum Qualifications and Core Competencies

The designated expert must demonstrate a unique blend of strategic advisory presence and deep, practical engineering capability:

• Executive Advisory: Proven experience serving as a trusted technical advisor to CISOs, CIOs, or senior executive leaders within public sector or heavily federated enterprise environments.
• Teach-by-Doing Expertise: Documented success as a technical mentor, trainer, or engineering lead focused on pair-engineering and technical upskilling of infrastructure and security operations staff.
• Security Control Mastery (SI-2): Comprehensive expertise operationalizing security controls, including tiering models, compensating control validation, and timebound riskgovernance structures.
• Advanced Tooling Fluency: enterprise cyber stackGoogle Threat Intel or VirusTotal, Google SecOps, Mandiant ASM, Tenable.io, Microsoft Azure Arc, GitHub, GitHub Advanced Security, Ansible Tower, and Gemini/Anthropic AI security frameworks.
• Cloud Architecture &DevSecOps Engineering

5. Performance Monitoring & Safeguards

• Knowledge Transfer Auditing: Progress will be measured not only by technical deployment velocity but also by the documented proficiency gains of internal DET staff who assume ownership of the deployed tools.
• Data Isolation Guardrails: The consultant is strictly forbidden from utilizing public or unvetted commercial AI models for analyzing State code, logs, or asset data. All engineering must occur exclusively within authorized, state-managed enterprise security instances.