Executive security leadership, on a fractional basis.

RAIC provides fractional CISO leadership supported by capabilities in cloud and identity security, incident response, security testing, authorization, and AI governance. Strategy and technical execution, delivered by a single practice.

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Fractional security leadership Strategy, risk, governance, and reporting
Cloud and identityArchitecture and access Detection and responseSIEM, hunting, IR Testing and assessmentApplications, APIs, models Compliance and frameworksCSF, 800-53, ISO, SOC 2 Security authorizationATO, ATU, FedRAMP review AI governance and riskAI RMF, ISO 42001
Executive leadership establishes direction. Supporting capabilities are engaged as program requirements dictate, or independently.

Fractional CISO

Ongoing executive security leadership for organizations that require accountable program ownership and measurable progress, beyond documentation. Delivered on a monthly retainer in partnership with your leadership and technical staff.

  • Program strategy and roadmap

    Current-state assessment, target-state definition, and a sequenced roadmap aligned to business priorities.

  • Risk management and reporting

    Risk register management and reporting that translates technical risk into business decisions for executive leadership and boards.

  • Policy and standards

    Policies that are operationally practical and mapped to applicable frameworks.

  • Audit and assessment readiness

    Evidence management, control validation, and support through external audits and assessments.

  • Third-party and vendor risk

    Vendor security reviews, contractual security requirements, and ongoing third-party risk monitoring, including AI providers.

  • AI use governance

    Acceptable use policy, enterprise inventory of AI in use, and controls for unsanctioned AI adoption.

Capability areas

Each capability is available within a fractional CISO engagement or as a standalone engagement.

The highlighted statement in each capability area describes its application to AI systems.

Cloud and identity security

Azure and AWS architecture review, identity federation and single sign-on, privileged access review, and Zero Trust roadmaps.

Governance of AI agent and workload identities under the same privileged access controls applied to human accounts.

Detection and incident response

SIEM design and tuning in Microsoft Sentinel and Splunk, KQL threat hunting, incident response plans, tabletop exercises, and regulatory notification workflows.

Incident response procedures for AI-specific events, including prompt injection, model and data poisoning, and agent misuse.

Security testing and assessment

Web application and API penetration testing against the OWASP Top 10, independent validation of scanner findings, and risk assessments following NIST SP 800-30.

Adversarial assessment of deployed language models against the OWASP Top 10 for LLM Applications.

Compliance and frameworks

NIST CSF 2.0 current and target profiles, NIST SP 800-53 Rev. 5, ISO 27001, SOC 2 readiness, and CMMC alignment.

Integration of AI risk management requirements, including the NIST AI RMF, into the existing control framework.

Security authorization

Authorization to operate and authorization to use, including FedRAMP package review, supported by evaluation of security documentation and residual risk.

Authorization boundaries that encompass AI components, including model hosting, data flows, and provider-inherited AI services.

AI governance and risk

NIST AI RMF gap analysis, ISO 42001 readiness, AI risk registers, and AI impact assessments.

Integrated into enterprise risk management, policy, and reporting rather than governed in isolation.

Engagement models

Fractional CISO

Ongoing executive leadership on a monthly retainer, for organizations without a dedicated security executive or those requiring senior support for an existing one.

Typical length
Months, renewable

Fixed-scope project

Defined deliverables within a fixed scope and timeline, such as a penetration test, risk assessment, audit readiness review, or AI governance gap analysis.

Typical length
Days to weeks

Technical advisory

Sustained technical engagement alongside internal teams, such as cloud security architecture, SIEM implementation, or identity modernization.

Typical length
Ongoing, scoped by phase

Engagement process

  1. ConsultationA 30-minute discussion of your environment and objectives, at no cost.
  2. Scoped proposalDefined deliverables, timeline, and fees, agreed before work begins.
  3. DeliveryExecution against the agreed scope, with scheduled progress reviews.
  4. HandoverDocumentation and evidence transferred for your ongoing ownership.

Research and publications

AI risk register: adversarial assessment of a locally deployed LLM

Five findings mapped to the OWASP Top 10 for LLM Applications and NIST AI RMF 1.0, tested before and after hardening.

Read the risk register

When AI says yes to everything: the sycophantic compliance cascade

A documented failure pattern in which a model overclaims capability, fabricates output, and resists correction.

Read the article

Schedule a consultation

A 30-minute consultation to understand your environment and determine fit. No cost and no obligation.

Direct scheduling

Select a time through our calendar. Consultations are held on Google Meet.

Schedule a consultation

Engage through Upwork

For clients who contract through Upwork, engagements can be initiated or continued there.

Go to Upwork