Security + AI Due Diligence
Security, data, AI, architecture and continuity risks before signing, investing, buying or integrating.
View serviceKronixial helps B2B teams review technical risk before signing, selling to enterprise customers, deploying AI or automating processes with internal data. Focused work, sufficient evidence and practical next steps.
Kronixial steps in when a decision around security, vendors, AI, compliance, automation or incidents needs careful review.
A large customer asks for evidence, controls, policies, questionnaires, SOC 2, ISO or AI posture.
You are about to sign, buy, invest or integrate technology and need to understand material risks before committing.
Your team uses LLMs, RAG, agents or copilots with documents, CRM, tickets, records or internal data.
You need to organize evidence, responsible teams, minimum policies and gaps before audit or procurement.
Leadership needs to know who decides, what gets shut down, what gets communicated and what evidence is preserved.
Reports, evidence, tickets, approvals or integrations consume time and need a controlled workflow.
Security, data, AI, architecture and continuity risks before signing, investing, buying or integrating.
View serviceReview of data, permissions, tools, logging, retention and minimum controls.
View serviceImplementation of concrete AI, integration or data workflows after defining process, permissions and acceptance criteria.
View serviceScope, evidence tracker, control matrix, gaps, responsible teams and work plan.
View serviceResponse plan, RACI, playbooks, simulation, after-action report and backlog.
View serviceShort review to organize an uncertain situation and decide what to review first.
View serviceOngoing guidance after an initial review, with defined hours and responsibilities.
View serviceEach review starts with a concrete question and ends with findings, limits and prioritized actions.
We validate decision, deadline, assets, exclusions, point of contact and authorization.
We request documents, diagrams, limited access, policies, logs, questionnaires or AI flows.
We separate aspirational documentation from operational reality through technical review and interviews.
We present material risks, severity, evidence, confidence levels and executive recommendations.
We close with priorities, responsible teams, initial actions, residual risk and next steps.
The work ends with findings, limits and next steps. If implementation follows, it is defined as a separate phase with acceptance criteria.
Share the context, deadline and what you already have. If it makes sense, we define a focused review.