Choose the evidence sources
Start with local Windows network evidence. Add supported network and IoT collection or a short traffic snapshot when appropriate for the environment.
Understand how risk crosses systems, access boundaries, and business processes. Connect evidence from IT, operational networks, and supported IoT devices with external dependency context to prioritize hardening recommendations and produce reviewed CMMC/NIST policies, SSP support, and POA&Ms.
Explore risk across system boundaries →ViKeLaAi compares compliance evidence with system context, collected information, technical telemetry, and exposed-risk signals for continuous or point-in-time readiness work. Modular AI agents support privacy redaction, threat intelligence, SBOM mapping, ISSO QA, OSCAL generation, and human review workflows for defensible readiness preparation.
Deliver faster, more accurate readiness work at scale with implementation and scope gap assessments, control-mapped policies and procedures, evidence tracking, and machine-readable outputs.
Review documents, network evidence, telemetry, and environment details to identify missing scope, weak implementation, and inconsistent claims. The behavioral-validation pilot adds targeted tests for selected technical findings.
Generate review-ready cybersecurity policy and procedure drafts mapped to CMMC controls, organizational scope, implementation notes, collected evidence, and gap findings.
Generate OSCAL-ready SSP snippets, SARs, and POA&Ms for machine-processing and readiness deliverables.
Prioritize remediation with clear implementation steps, owners, and evidence links. For suitable findings, repeat the same behavioral test after a documented change and compare the evidence. Review results and unresolved gaps before updating readiness deliverables. Explore control testing →
Webhook notifications, downloadable ZIP reports, and API endpoints for automated pipelines.
Browser-based PII redaction before upload, audit logging, and secure key management for sensitive evidence.
Efficient delivery and pay-per-assessment pricing that helps MSPs, RPOs, and consultants scale readiness services.
Modular agents enrich analysis with targeted post-processing for compliance-grade outputs.
Runs in-browser to detect and sanitize PII before upload; users approve sanitization summaries.
Helps align policies, procedures, and remediation guidance to relevant adversary tactics, techniques, and proven mitigations.
Extracts software component inventory and links known vulnerabilities to produce SBOM outputs.
Performs framework detection and QA for artifact-control mapping, completeness checks, and evidence suggestions.
Generates OSCAL-formatted content and validates them against OSCAL schema for automation workflows.
Flexible evidence collection, OSINT enrichment, digital twin modeling, and knowledge graph reasoning designed for CMMC readiness workflows.
Collect uploaded documents, questionnaires, cloud evidence, network hardware and traffic evidence, security artifacts, public records, and partner-provided context.
Evidence IntakeAdd contract context, vendor relationships, public cyber signals, exposed services, domain posture, and compliance risk indicators.
External SignalsRepresent the organization, systems, vendors, controls, evidence, policies, procedures, and readiness gaps in one working model.
Readiness ModelLink CMMC objectives, NIST controls, ATT&CK techniques, D3FEND mitigations, evidence artifacts, and remediation recommendations.
Control IntelligenceUse collected evidence and graph context to draft review-ready policies and procedures while preserving human approval.
Human ReviewedExport SSP support, POA&Ms, OSCAL-ready content, evidence links, and reproducible assessment context for stakeholders.
DeliverablesBring local host observations, network hardware evidence, IoT sensor and camera information, and optional traffic snapshots into a scoped review. Use the evidence to investigate asset inventory, IT/OT boundaries, and expected communications with the people who own the systems and processes.
Start with local Windows network evidence. Add supported network and IoT collection or a short traffic snapshot when appropriate for the environment.
Hardware inspection and packet capture are optional. Review the evidence package before manually uploading it through the assessment survey.
Add owner-declared asset purpose and expected communications. Use these alongside technical observations to guide boundary review and hardening priorities.
Coverage varies with model, firmware, permissions, and available telemetry. Default observe mode sends no endpoint probes or industrial-protocol requests; configured hardware management queries still generate traffic. Collection does not change network configuration.
When a sensor reports readings and collected configuration confirms no sensor alert profile for its network, the collector records the gap and a recommended action with supporting evidence. Connect device observations with owner-supplied purpose and responsibilities to guide follow-up work.
IoT collection is read-only and does not automatically change sensors, cameras, or network equipment. Sensor readings and configured relationships provide assessment context; they do not by themselves verify that a security control is effective.
The collection package includes a readable report, structured network evidence, source artifacts, and integrity hashes. Evidence references and coverage gaps help reviewers understand what supports a finding and what needs further investigation.
Packet captures can contain sensitive content and credentials. Review them before upload; binary packet data is not automatically redacted.
Connect a selected technical finding to a relevant adversary technique, an expected defensive response, and a repeatable test. The behavioral-validation pilot helps your team investigate whether a remediation produced the intended result on the tested endpoint.
Use assessment evidence to identify the affected system and control objective. Network observations help establish context; a traffic snapshot alone does not prove that a control works.
Choose an available test associated with a relevant MITRE ATT&CK technique. Review whether that test actually exercises the behavior behind the finding.
Specify whether the selected control should prevent the action, generate an alert, or record usable telemetry. Set the endpoint, evidence sources, and observation window.
An authorized operator runs the approved test on the selected Windows endpoint. Collect supporting vendor evidence and review execution, prevention, detection, and telemetry separately.
Your team applies the agreed technical change and documents it for the retest. Keep the baseline evidence so reviewers can understand the original gap.
Repeat the same test with the same target, sources, expectation, and observation duration. Export the comparison for review, including inconclusive results and remaining gaps.
Pilot qualification includes representative endpoint execution and evidence-source checks. Prevention, detection, and telemetry are distinct outcomes; a control-to-technique mapping alone does not demonstrate effectiveness.
Our streamlined process keeps gap assessment and document generation connected from intake through delivery.
Enter organizational information, policies, evidence, telemetry exports, scope assumptions, and environment details into the platform.
Our AI analyzes the data, maps it to CMMC requirements, and identifies implementation gaps, scope gaps, and evidence inconsistencies.
Review findings, adjust assumptions, and generate policies, procedures, SSP support, POA&Ms, and evidence summaries from the validated context.
Provide your client with comprehensive gap assessment reports, actionable POA&Ms, policy and procedure drafts, and tailored SSP support.
Born from firsthand experience with federal government programs, ViKeLaAi was created to simplify the complexities of cybersecurity, gap assessment, evidence validation, document generation, and continuous monitoring.
Over years supporting Federal contracts at the intersection of software development, cybersecurity, and risk management, I kept seeing the same challenge: organizations struggled to keep up with compliance requirements while delivering technology at speed.
ViKeLaAi was built to change that.
Our tools were born out of real-world experience implementing enterprise-grade continuous monitoring, rapid ATO, and risk-aware development lifecycles.
We're here to help modern security teams and consultants identify implementation and scope gaps, generate the documentation needed to close them, and focus on protecting what matters.
Cybersecurity Architect & Federal Risk Management Lead
No complex licensing structures or hidden fees.
Unlimited Input Document Count
Use ViKeLaAi to compare paperwork with telemetry and collected evidence, identify implementation and scope gaps, then accelerate policy and procedure generation, evidence mapping, SSP support, and POA&M development. Readiness support does not replace official CMMC certification decisions.
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