AI security & governance

Enable AI safely — before experimentation becomes uncontrolled risk.

Walden Cybersecurity Solutions helps organizations govern GenAI adoption, harden copilots, manage model risk, and prove AI oversight to customers, auditors, and regulators.

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Built for organizations adopting AI tools and needing practical governance, risk controls, and audit-ready evidence — without slowing the business.

NIST AI RMF ISO/IEC 42001 EU AI Act SOC 2 ISO 27001
AI Risk Assessment
Governance Policies
Copilot Hardening
LLM Red Teaming
Regulatory Readiness
What we deliver

Practical AI security, mapped to the controls and evidence your stakeholders expect.

Each engagement is structured around your AI use cases, risk profile, and the frameworks your customers and auditors reference — so the output is usable, not just advisory.

AI Governance & Policy

Structured governance aligned to NIST AI RMF and ISO/IEC 42001 that gives leadership clear ownership, accountability, and audit evidence.

  • Acceptable use and data classification policies
  • Model lifecycle governance framework
  • AI governance committee charter and reporting

Risk & Compliance Readiness

Evidence-driven risk management for AI initiatives, with mappings customers, auditors, and regulators can verify.

  • AI risk register and impact assessment
  • Third-party AI vendor due diligence
  • EU AI Act and SOC 2 alignment support

Secure AI Engineering

Security controls integrated into the development and deployment of AI features, agents, and LLM-powered workflows.

  • LLM threat modeling and attack surface review
  • Prompt injection and data leakage controls
  • AI supply chain and SBOM/MBOM guidance

Copilot Hardening

Targeted enablement controls for M365 Copilot, Google Workspace AI, and enterprise copilot deployments.

  • Access design and least-privilege review
  • DLP alignment and plugin governance
  • Monitoring, alerting, and rollback planning

Red Teaming & Adversarial Testing

Structured testing to expose AI-specific weaknesses before they become incidents, compliance findings, or customer trust issues.

  • Jailbreak and indirect prompt injection testing
  • PII and sensitive data leakage evaluation
  • Eval harnesses and toxicity monitoring

Training & Awareness

Role-based education that helps executives, developers, and analysts use AI tools responsibly and recognize risk.

  • Executive AI risk briefings
  • Developer secure prompt engineering essentials
  • Analyst AI acceptable-use guidance
Engagement model

A structured path from AI inventory to defensible governance.

The work is sequenced so you can start with what you have, close the gaps that matter most, and communicate progress in terms leadership and auditors can verify.

01 Assess

Understand your AI footprint and risk exposure.

Inventory AI tools, models, and third-party services in use. Map against NIST AI RMF and identify gaps in governance, controls, and data handling.

02 Govern

Establish policies and accountability structures.

Build acceptable use policies, risk registers, governance charters, and oversight processes that satisfy internal and external stakeholders.

03 Secure

Harden AI systems and reduce attack surface.

Apply security controls to LLM deployments, copilots, and AI-enabled workflows — including access, DLP, red teaming, and monitoring.

04 Report

Communicate progress to leadership and stakeholders.

Deliver evidence your leadership team, customers, and auditors can use — risk posture updates, control status, and remediation tracking.

Engagement packages

Scoped starting points for the most common AI security needs.

Each package can be extended or combined based on your current AI footprint, regulatory exposure, and risk appetite.

AI Readiness Assessment

2–4 weeks. Inventory your AI use cases, identify governance gaps, and receive a prioritized roadmap aligned to NIST AI RMF.

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Governance Bundle

Policy package, AI risk register, governance committee setup, metrics framework, and leadership reporting cadence.

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Secure GenAI Pilot

Design review, red teaming, guardrail implementation, and a security go-live checklist for your first AI use case or copilot deployment.

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Framework coverage

Guidance mapped to the standards your customers and auditors reference.

NIST AI RMF ISO/IEC 42001 EU AI Act NIST CSF ISO 27001 SOC 2 HIPAA GDPR Vendor Risk AI Red Teaming

Ready to govern AI before it becomes a liability?

Share where your organization is with AI adoption, and WCS will help define the right security and governance path forward.

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