Strategy, Technology,
and Security Risk Services

EXECUTIVE CONSULTING AND RISK MANAGEMENT
Strategic Solutions
for Emerging-Tech Risk

DEW Diligence delivers executive consulting and risk management for organizations adopting emerging technologies. We help leaders make clear, defensible decisions across cybersecurity, governance, and Responsible AI; so new capabilities can be deployed responsibly, audited confidently, and scaled without regret.
At the center is data trust and trustworthy systems; privacy, protection, and control. We establish governance that holds up under scrutiny, enhance cryptography practices, tighten identity and access boundaries, and reduce data exposure across cloud, SaaS, and AI workflows. The outcome is a security posture that protects customers, preserves intellectual property, and supports regulatory readiness.
Confidentiality is a core principle. We build strategies and controls that keep sensitive information confidential, secure, provable, and responsibly managed.
STRATEGY THROUGH TO DELIVERY
Strategy and Execution
We help organizations turn cybersecurity into a strategic advantage by pairing executive guidance with proven technology solutions. DEW Diligence assesses risks, defines a treatment strategy, and orchestrates controls, platforms, and services to ensure that security investments are prioritized in line with business outcomes.

Information Security Consulting


Organizations that need executive-level security leadership outside of a full-time hire turn to DEW Diligence for Fractional CISO services. We embed as your strategic security leader, setting direction, managing risk, engaging your team, and building the program your business needs. Whether you need ongoing advisory, project-based leadership, or support through a compliance initiative or incident, we provide the executive presence and hands-on execution that drives results.
DEW Diligence engagements are structured as retained advisory relationships, project-based assessments, or interim executive placements, depending on organizational need.
Fractional CISO
Fractional CISO / vCISO Services
Executive security leadership — retained, project, or interim.
When risk is rising, and execution is uneven, you need security leadership that can translate exposure into priorities, make decisive calls, and deliver measurable outcomes. We serve as your CISO to implement a defensible program aligned to your operating model, customer requirements, and regulatory landscape.
We provide strategic, C-level information security leadership on a flexible basis: hands-on when it matters. Advisory when you need perspective. Operational when you need results.
At a glance:
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Risk-driven strategy & roadmap: a practical 30/60/90 plan, multi-quarter roadmap, and measurable security outcomes.
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Pragmatic policies, standards, and controls alignment: NIST CSF/ PF, NIST 800-53, ISO 27001, SOC 2, PCI-DSS, HIPAA, GDPR, and more.
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CEO-ready reporting: risk translated into money, exposure, and operational impact.
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Program execution: hands-on delivery with teams, closing gaps, enforcing policies/controls, and proving progress.
What you can expect:
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Executive security leadership, on demand: fractional CISO coverage that brings clear priorities, decisive action, and a security program calibrated to your business. Hands-on with your teams: closing gaps, enforcing controls, and demonstrating measurable progress.
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Business-aligned security strategy: establish your current and target security posture, quantify risk in business exposure terms, and build a prioritized plan that reduces your attack surface without sacrificing velocity.
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Risk-driven roadmap and delivery: a practical 30/60/90-day plan and multi-quarter roadmap anchored to measurable outcomes — translating compliance and security pressure into clear, defensible execution.
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Security architecture with resilience: lead secure-by-design delivery and pragmatic zero-trust architecture across infrastructure, cloud, SaaS, and identity, with purpose-built guardrails as you deploy GenAI and agentic systems.
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Vendor selection and third-party risk management: advisory across control and platform selection, configuration, and deployment, all mapped to risk outcomes. Covers due diligence, risk assessments, contract requirements, and ongoing third-party accountability.
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End-to-end operational security: build or strengthen your protection, detection, and response capabilities with a recovery posture designed to hold under ransomware pressure and operational disruption.
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Board and audit readiness: establish repeatable reporting cadences, governance rhythms, and audit-ready evidence so leadership can brief with confidence and demonstrate consistent progress quarter over quarter.
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Incident readiness and response discipline: playbooks, tabletop exercises, and escalation paths, including AI-specific incident scenarios (prompt injection, data leakage, model poisoning).
Responsible AI Governance


Responsible AI is the discipline of designing, deploying, and operating AI systems so they remain trustworthy, safe, and aligned to human and business outcomes. In practice, it means continuously embedding fairness and inclusion, reliability and safety, privacy and security, transparency and explainability, and clear accountability with human oversight across the entire AI lifecycle.
This AI governance program turns those principles into an operational control system you can scale. Your program is aligned to the NIST AI Risk Management Framework (NIST AI RMF) and structured for auditability and continuous improvement using ISO/IEC 42001 (Information Technology — Artificial Intelligence — Management System). The result is a defensible, business-ready governance layer that reduces risk, accelerates adoption, and stands up to regulators, customers, and internal assurance teams.
Turn Responsible AI principles into an operating system your business can run. Measurable, auditable, and scalable.
Schedule a Responsible AI Consultation
Responsible AI
AI Governance & Responsible AI Advisory
Policy, governance frameworks, and compliance for AI adoption.
Most organizations adopt AI faster than they govern it. We help leaders close that gap by aligning IT governance, Responsible AI frameworks, and enterprise security strategy so that emerging technology adoption is controlled, auditable, and built on a foundation the business can trust.
You get advisory and playbook execution, strategic design, and implementation in Responsible AI governance. We can also map practical strategies emphasized by IBM®, Microsoft®, and Cisco®: fairness, reliability/safety, privacy/security, transparency/explainability, and accountability across the full AI lifecycle.
At a glance:
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AI inventory & risk tiering: minimum viable AI system inventory, risk-tiered by impact, with decision gates your teams can actually use.
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Frameworks & standards alignment: NIST AI RMF, ISO/IEC 42001, NIST CSF, and emerging regulatory requirements (EU AI Act, state-level AI laws, and sector-specific guidance).
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CEO-ready reporting: AI risk translated into business exposure, liability, and operational impact with KPI insights that connects AI value to AI risk.
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Program execution: support across governance, controls, and vendor oversight. Standing up your AI governance operating model and driving outcomes.
What you can expect:
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AI governance operating model: to build the decision-making infrastructure your AI program requires, including an AI Governance Council, defined decision rights, RACI, and clear escalation paths, so accountability is set before incidents demand it.
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AI inventory and risk tiering: help build the visibility foundation first. Establish your minimum viable AI system inventory, tier systems by risk, and apply decision gates so every team knows what's approved, what requires review, and what's off-limits.
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Shadow AI discovery and containment: surface unapproved tools and use cases, classify them by risk, remediate or fast-track approval for low-risk instances, and publish an AI Acceptable Use Policy alongside an authorized tool registry.
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Controls across the AI lifecycle: includes threat models, baseline security controls, red-team planning, and incident response addenda for GenAI, RAG, and agentic systems, to ensure your security posture is engineered.
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Identity and data as the AI control plane: govern prompts, retrieval corpora, embeddings, tools, logs, and evaluation results as first-class assets — then enforce authorization, data classification, and least privilege around every layer of the stack.
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Third-party and vendor AI governance: streamline procurement with rigor and a structured due diligence pack. AI/software bill of materials asks, data processing agreements, and contract clauses covering data non-use, retention, change notification, and sub-processor transparency.
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Assurance and audit-ready evidence: per-system evidence packs spanning system, data, model, security, and operations artifacts with full traceability and an ISO/IEC 42001 alignment.
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CEO and board-ready reporting: with a 90-day execution plan. KPIs that connect AI value to AI risk, a board reporting cadence your leadership can own, and a structured roadmap with defined, measurable outcomes.
