01
Cloud
Workloads and exposure
Path touchesCloud workload
Control to review
Public reachability
Secure every path from cloud to code to AI.
Cloud6AI helps teams find the risky paths attackers can use, prioritize what matters, and turn security work into clear engineering action.
Explore your security prioritiesIllustrative architecture
Follow the path. See the control.
Security work becomes clearer when the systems, access paths, and control owners are visible together.
Identity to AI selected. One permission can cross five systems.
Exposure view / Identity to AI
One permission can cross five systems.
Trace a possible route from a cloud workload through service access, an application, an AI tool, and a data store.
02
Identity
People and service access
Path touchesService role
Control to review
Least privilege
03
Code
Applications and delivery
Path touchesApplication API
Control to review
Request validation
04
AI
Tools and agent actions
Path touchesTool permission
Control to review
Tool scope
05
Data
Information and evidence
Path touchesData store
Control to review
Access policy
Engineering outcome
Map the route, then assign a control and an owner at every boundary.
Built for the teams protecting modern digital systems
Security leadersCloud teamsEngineering teamsAI product teamsCompliance owners
A clearer view of risk
See the path. Fix the control. Prove the change.
Security decisions are easier when teams can see how identity, cloud access, software delivery, and data flows connect. Cloud6AI brings those paths into focus and helps turn findings into prioritized work.
Identity paths
Human, service, workload, and agent identities need clear ownership and reviewable access.
Delivery paths
Repositories, runners, dependencies, artifacts, and secrets are production risk paths.
Data paths
Retrieval, prompts, APIs, logs, and model integrations move sensitive context in new ways.
Solutions
Start with the problem you need to solve.
Explore practical approaches to cloud adoption, application security, software delivery, AI systems, and day-to-day security operations.
Featured path
Secure Cloud Adoption
Cloud adoption often moves faster than identity, network, logging, and governance controls.
Read approachSecure Application Modernization
Modernization can introduce new API, identity, dependency, and deployment risks.
Protect CI/CD Pipelines
Repositories, build systems, secrets, dependencies, and release permissions are high-value attack paths.
Reduce Vulnerability Remediation Time
Vulnerability queues become unmanageable when findings lack exposure context, ownership, and remediation routing.
Secure AI Applications and Agents
AI systems can expose sensitive data, execute unsafe actions, or expand access beyond intended boundaries.
Improve Compliance Readiness
Framework requirements can become disconnected from the real systems and teams operating controls.
Capabilities
Security engineering from cloud architecture to agentic AI.
Cloud6AI organizes work around the systems attackers actually move through: cloud, identity, code, applications, data, AI, and operations.
Cloud security
Harden identity, network, workload, data, logging, and governance foundations.
Read capabilityApplication and API security
Review architecture, authorization paths, exposed APIs, and developer-ready fixes.
Read capabilitySoftware supply chain
Secure repositories, runners, secrets, dependencies, artifacts, and release gates.
Read capabilityAI and agent security
Map retrieval, prompts, tools, permissions, logs, evaluations, and abuse paths.
Read capabilityOperating model
A practical lifecycle for security work that survives the assessment.
Explore Capabilities01
Discover
Map assets, identities, APIs, repositories, pipelines, data paths, and cloud exposure before prioritizing work.
02
Prioritize
Separate exploitable risk from noisy findings using architecture context, business impact, and ownership signals.
03
Engineer
Design practical controls, automate repeatable work, and integrate security into cloud and software delivery workflows.
04
Operate
Improve detection, response, remediation, governance, and review cycles so controls keep pace with change.
Field Notes
Practical guidance for the security work ahead.
Explore Cloud6AI checklists and guides alongside public standards and research from their original publishers. Find a starting point for reviews, planning, and remediation.
Cloud security readiness checklist
Review identity, exposure, workload configuration, logging, governance, and ownership.
Read resourceGuide to securing AI agents
Shape tool permissions, retrieval boundaries, prompt attack testing, and runtime oversight.
Read resourceVulnerability remediation playbook
Turn scanner noise into exposure-aware, owner-routed remediation work.
Read resourceRisk is mapped across cloud, identity, code, data, and AI systems.
Findings are prioritized by exploitability, exposure, ownership, and business impact.
Recommendations become practical engineering work, not just assessment notes.
Operating routines include telemetry, evidence, response, and review expectations.