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SOLUTIONS

Security priorities.
Practical next steps.

Explore the questions, evidence, and actions behind cloud, application, identity, data, and AI security. Use these discussion areas to define your requirements.

DEPTH WHERE IT MATTERS

Complex environments.
Connected answers.

Build your security program around the relationships between infrastructure, applications, identities, and the information they protect.

Cloud posture

Understand configuration gaps across accounts, services, and workloads. Connect exposure to the environment it could affect.

  • Asset and configuration visibility
  • Internet-facing service review
  • Misconfiguration prioritization

Application & code

Bring risk conversations back to the source, with context that helps developers understand and resolve findings.

  • Repository and service ownership
  • Dependency risk context
  • Infrastructure-as-code review

AI & data exposure

Explore the models, integrations, and data flows behind AI applications. Know where sensitive information can travel.

  • AI service and model inventory
  • Sensitive data access mapping
  • Agent and tool permission review

Identity & access

Look beyond isolated permissions to understand effective access and the paths that lead to critical resources.

  • Human and workload identities
  • Excessive privilege review
  • Access path investigation
SECURITY DOMAINS IN PRACTICE

Ask a better question.
Find a useful next step.

01

Cloud posture

Which configurations create unnecessary exposure?

Evidence to review

Account inventory, public endpoints, network rules, encryption settings, and configuration history.

Practical next step

Confirm the intended baseline with cloud owners. Review exceptions and validate changes in the running environment.

02

Application & code

Where should the engineering change be made?

Evidence to review

Repository ownership, deployed versions, dependency manifests, and infrastructure-as-code definitions.

Practical next step

Connect the finding to its source. Provide reproduction context, a scoped change, and a validation plan.

03

Identity & access

What can this identity actually reach?

Evidence to review

Role assignments, trust relationships, resource policies, and conditions that affect effective permissions.

Practical next step

Confirm required access with the owner, narrow permissions, and test expected application behavior.

04

Data exposure

Which information could be affected by this path?

Evidence to review

Classification, storage configuration, data ownership, retention requirements, and access records.

Practical next step

Review whether access is necessary. Tighten the relevant policy and verify the sensitive resource is protected.

05

AI security

Which tools and data can this AI service use?

Evidence to review

Model and agent inventory, service identities, tool grants, endpoint exposure, and input/output data flows.

Practical next step

Review access boundaries, apply least privilege, and establish a repeatable review for deployment changes.

PLAN THE CONVERSATION

Coverage with
a clear purpose.

Use this reference matrix to scope your security requirements. These are discussion areas; specific product capabilities and integrations need confirmation.

Security coverage reference — example evidence and team actions
Security areaQuestion to answerEvidence to reviewPractical next step
Cloud postureWhat is exposed or misconfigured?Resource inventory, network rules, configuration snapshotsReview public access and baseline settings with cloud owners.
Application securityWhere should a fix happen?Repository ownership, dependencies, deployment configurationRoute a reproducible finding to the responsible engineering team.
Identity riskWho or what can reach a critical resource?Roles, trust policies, permission grants, access logsValidate access needs and remove unnecessary permissions.
Data exposureWhich sensitive data could be accessed?Data classification, storage policies, access relationshipsConfirm intended access and tighten the relevant controls.
AI securityWhat can an AI service or agent access?Model endpoints, tool permissions, data flows, service identitiesReview tool access boundaries and sensitive data handling.
YOUR NEXT STEP

Put your environment
in perspective.

Discuss your priorities, technical requirements, and the scope that fits your team.

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