01
AI Security & Readiness Assessments
Inventory AI applications and use cases; evaluate data flows, identities, permissions, integrations, and exposure to prompt injection and data leakage.
AI SECURITY, GOVERNANCE & WORKFLOW AUTOMATION
Secure AI Adoption. Govern AI Risks. Automate Security Workflows.
RadialByte assesses AI applications and integrations, establishes practical AI governance controls, and designs controlled automation for security and compliance workflows—with defined approvals, audit trails, and human oversight.
THE CHALLENGE
AI adoption introduces risks that existing reviews may not fully address.
Enterprise AI tools and AI-enabled applications can expose sensitive information through prompts, retrieval sources, third-party connectors, and overly broad permissions. Unapproved AI usage and poorly controlled automation can also bypass established review and approval processes.
RadialByte examines how AI systems access data, invoke tools, and interact with business processes. We identify control gaps, establish ownership and approval requirements, and define safeguards before AI use cases expand.
OUR AI SERVICES
Security controls, governance processes, and workflow design for enterprise AI
Engagements are scoped to the AI tools, data sources, integrations, and security processes in use or planned for deployment.
02
AI Governance & Policy Development
Define acceptable-use requirements, AI ownership, use-case intake, risk classification, approval criteria, and periodic review procedures.
03
Secure AI Adoption & Data Protection
Review sensitive-data handling, retrieval permissions, vendor data-use settings, connector scopes, and safeguards for enterprise AI deployments.
04
AI Workflow Automation Design
Map manual security workflows and design approval-based automation for triage, routing, evidence collection, exception tracking, and reporting.
05
AI-Assisted Vulnerability Management
Design human-reviewed AI assistance for finding classification, remediation summaries, ticket enrichment, and prioritization using existing scanner and asset data.
06
AI Monitoring & Control Validation
Specify logging, access reviews, exception monitoring, output validation, and control tests for AI applications and automated workflows.
WHAT YOU RECEIVE
AI-specific assessments, control decisions, and implementation plans
Deliverables document where AI is used, what it can access, which risks require treatment, and how approved automation should operate.
- AI application, use-case, data-source, and integration inventory
- AI threat scenarios and security-control gap assessment
- AI acceptable-use policy and use-case approval checklist
- Risk-ranked AI safeguards and remediation roadmap
- Workflow diagrams, approval gates, exception handling, and runbooks
- AI monitoring requirements, control owners, and review cadence
OUR APPROACH
A structured path from AI exposure to governed operation
We assess AI use in context, define enforceable safeguards, and design workflows that preserve accountability for sensitive actions.
01
Discover
Identify AI tools, business use cases, data flows, connected systems, users, and existing approval processes.
02
Assess
Evaluate AI-specific threats, data exposure, access permissions, vendor settings, and governance gaps.
03
Secure & Govern
Define safeguards, ownership, acceptable-use requirements, review gates, and prioritized remediation actions.
04
Automate & Monitor
Design controlled workflow automation with human approvals, audit logs, exception handling, and periodic risk reviews.
AI SECURITY & GOVERNANCE FAQS
Common questions about enterprise AI controls
Answers about AI assessments, governance, deployment reviews, unauthorized usage, and workflow safeguards.
How can RadialByte help secure AI tools already in use?
We review approved AI applications, data handling, access permissions, vendor settings, and integrations. The assessment identifies gaps and produces prioritized safeguards for the tools already deployed.
Do we need to purchase a dedicated AI security platform?
Not necessarily. We first evaluate controls already available through identity management, data protection, logging, and AI platform administration. Additional tooling is considered only when a specific control requirement cannot be met.
Can RadialByte develop AI governance policies and approval procedures?
Yes. We can define AI acceptable-use requirements, use-case registration, risk-based approvals, assigned control owners, exception handling, and periodic reassessment procedures.
Can RadialByte assess AI applications before deployment?
Yes. We examine intended data inputs, retrieval sources, identity and connector permissions, model or vendor dependencies, and threats such as prompt injection and unauthorized data disclosure before production release.
How do you keep AI-powered security workflows under control?
We define permitted data sources and actions, human approval checkpoints, output validation, audit logging, failure handling, and rollback procedures. High-impact decisions remain subject to designated human review.
Can you help identify and manage unauthorized AI usage?
We can review available application, identity, network, and procurement records to identify potential shadow AI use, then recommend discovery, approval, and data-handling controls appropriate to the organization.
DISCUSS YOUR AI ENVIRONMENT
Define the safeguards your AI use cases require.
Share the AI applications, integrations, sensitive data, or security workflows you want to assess. We can discuss assessment scope, governance deliverables, and automation control requirements.