CLOUD SECURITY VALIDATION

Validate cloud exposure, IAM risk, workload reachability, and control drift .

Hayrok validates whether cloud identities, resources, workloads, storage, network controls, and logging systems operate securely under realistic attack conditions across AWS, Azure, and GCP.

EVIDENCE-BACKED FINDINGSGOVERNED EXECUTIONSAFE VALIDATION SCENARIOSCONTINUOUS REVALIDATION
3.1×
IAM combinations vs. policy count
toxic paths discovered
49%
CSPM findings not reachable
noise removed via validation
Multi-cloud
AWS · Azure · GCP · OCI
validated in one graph
THE CHALLENGE

Cloud environments change faster than static posture reviews can reflect.

New workloads, roles, storage resources, security groups, and services are created continuously. Configuration tools can identify deviations, but teams still need to understand whether those conditions are exploitable and connected to critical resources.

Security teams still need to know:
  • ?Are exposed storage or workloads actually reachable?
  • ?Do IAM combinations create escalation paths?
  • ?Does the network permit unintended east-west or ingress?
  • ?Are cloud detections actually firing?
  • ?Has previously-effective control drifted?
  • ?Which paths reach a crown-jewel asset?
Hayrok validates cloud risk in the context of reachability and business impact.
SCANNERS vs. VALIDATION
Scanner
  • Config & CVE lists
  • Theoretical severity
  • No runtime attribution
  • No control response
Hayrok VALIDATION
  • Exploitability proof
  • Reachability path
  • Control & detection response
  • Business impact
EVIDENCE CONTRACT
Request/responsecaptured
Control responsecorrelated
Detection eventmeasured
Reachabilitygraphed
Business impactmapped
VALIDATION COVERAGE

Validate the conditions that create real cloud security risk.

Eight validation capabilities. Every one produces evidence, control response, and reachable impact.

01
Cloud IAM
Assess permissions, role assumptions, trust policies, service identities, and privilege paths.
IAM
02
Public storage
Validate whether storage resources expose sensitive data or permit unintended access.
S3Blob
03
Network reachability
Determine whether internet, workload, and service paths allow access to sensitive resources.
VPCVNet
04
Runtime workloads
Confirm whether affected cloud workloads and vulnerable components are active.
Runtime
05
Security group exposure
Validate whether network rules create unintended access paths.
SGNSG
06
Cloud logging coverage
Confirm whether suspicious cloud activity generates logs and alerts.
CloudTrail
07
Control drift
Identify whether previously effective controls have weakened as the environment changed.
Drift
08
Cloud attack paths
Map progression from exposed resources or identities to critical cloud assets.
Graph
PRODUCT · MULTI-CLOUD VALIDATION

AWS, Azure, and GCP — one graph, one evidence contract.

See it live
app.hayrok.io / cloud / posture
LIVE
AWS · production accounts
3 accounts · 214 IAM findings · 42 reachable · 4 crown-jewel paths
DRIFT DETECTED
IAM findings
214
reachable 42
Public storage
7
1 exposed
Reachable workloads
1,124
98 flagged
Crown-jewel paths
4
+1 · 7d
TOP IAM ESCALATION
iam:PassRole → ec2:RunInstances
admin
EXPLOITABLE
sts:AssumeRole * cross-acct
prod-writer
REACHABLE
lambda:UpdateFunctionCode
deploy-svc
EXPLOITABLE
s3:PutObjectAcl (public)
ci-runner
REACHABLE
CROWN-JEWEL REACHABILITY
rds/customers-prod4 paths
s3/exports-eu2 paths
kms/prod-master1 path
eks/payments0 paths
Azure · production subscriptions
5 subscriptions · 168 RBAC findings · 31 reachable · 2 crown-jewel paths
POLICY DRIFT
RBAC findings
168
reachable 31
Public storage
4
0 exposed
Reachable workloads
842
64 flagged
Crown-jewel paths
2
0 · 7d
TOP IAM ESCALATION
Owner role · scope=/mgmt
platform-eng
EXPLOITABLE
Contributor · KeyVault
ci-app
REACHABLE
Managed identity · SP write
func-etl
EXPLOITABLE
Storage Blob Data Owner
backup-svc
REACHABLE
CROWN-JEWEL REACHABILITY
sql/customers-eu3 paths
kv/prod-secrets2 paths
aks/checkout1 path
cosmos/orders0 paths
GCP · production projects
4 projects · 132 IAM findings · 22 reachable · 3 crown-jewel paths
NEW BINDINGS
IAM findings
132
reachable 22
Public storage
2
1 exposed
Reachable workloads
604
41 flagged
Crown-jewel paths
3
+1 · 7d
TOP IAM ESCALATION
roles/iam.serviceAccountUser
cloudbuild
EXPLOITABLE
roles/storage.admin
data-etl-sa
REACHABLE
roles/compute.instanceAdmin
deploy-sa
EXPLOITABLE
roles/secretmanager.admin
runtime-sa
REACHABLE
CROWN-JEWEL REACHABILITY
bq/customers3 paths
gcs/exports2 paths
kms/prod-key1 path
gke/payments0 paths
OCI · production compartments
2 compartments · 46 policy findings · 8 reachable · 1 crown-jewel path
CLEAN
Policy findings
46
reachable 8
Public buckets
1
0 exposed
Reachable workloads
218
12 flagged
Crown-jewel paths
1
0 · 7d
TOP IAM ESCALATION
manage all-resources
admins
EXPLOITABLE
use object-family
backup-grp
REACHABLE
manage instance-family
deploy-grp
REACHABLE
read secret-family
runtime-grp
OK
CROWN-JEWEL REACHABILITY
adb/customers1 path
obj/exports0 paths
vault/master0 paths
oke/prod0 paths
EVIDENCE AND PROOF

Every result is supported by validation evidence.

Not a screenshot. A machine-verifiable evidence pack per finding.

E-01
IAM policy and trust evidence
Full effective-policy analysis with the request that provoked it.
E-02
Public storage access evidence
Signed and anonymous request outcomes with object metadata.
E-03
Network path evidence
Route, SG, and NACL chain with allow/deny attribution.
E-04
Runtime workload evidence
Vulnerable component presence in a live workload.
E-05
Cloud logging and detection evidence
Which activity landed in trails, SIEMs, or CSPMs — and which didn't.
E-06
Cloud attack path evidence
Multi-service progression from exposure to crown jewel.
SCENARIO EXAMPLES

Run scenarios aligned with realistic attacker behavior.

Recommended by objective, asset scope, telemetry, and safety requirements.

IAM
Cloud IAM Privilege Validation
Chain policy, role, and trust combinations to find escalation.
AWS
OutcomeExploitable
STORAGE
Public Storage Exposure Validation
Test object and container ACLs against realistic external access.
S3
OutcomeReachable
NET
Internet-to-Workload Reachability
Chain SG, load balancer, and route paths from public to workload.
VPC
OutcomeReachable
SG
Security Group Control Validation
Assess whether east-west rules reflect intended isolation.
SG
OutcomePartial
LOGS
Cloud Logging Coverage Validation
Fire cloud-native techniques and confirm log delivery and alerting.
Trails
OutcomeDetected
DRIFT
Cloud Control Drift Validation
Rerun prior scenarios to prove whether posture has quietly regressed.
Drift
OutcomeRegressed
HOW IT WORKS

From objective to verified remediation.

Five steps. Every one governed, observable, and evidenced.

01
Select the objective
Choose the outcome and define assets, environments, and business services in scope.
02
Review scenarios
Hayrok maps the objective to relevant scenario packs, telemetry, and safety controls.
03
Run governed validation
Genesis coordinates recon, planning, approvals, execution, and evidence collection.
04
Review findings
See confirmed risk, control responses, detection responses, and remediation guidance.
05
Revalidate remediation
Rerun the relevant scenarios and confirm whether the issue is resolved.
BUSINESS VALUE

Turn validation into measurable security improvement.

01
Reduce cloud breach risk
Close only the cloud paths that reach real business impact.
02
Cut CSPM noise
Suppress findings that are not reachable in your environment.
03
Validate controls continuously
Detect regression as accounts and workloads change.
04
Prove crown-jewel isolation
Show, with evidence, that critical cloud assets remain unreachable.
FAQ

Frequently asked questions

What is Cloud Security Validation?+
Cloud Security Validation is Hayrok's continuous, governed process for proving — with evidence — which cloud security risks are actually exploitable, and which controls, detections, and paths respond as intended.
How is it different from scanning or assessment?+
Scanners describe what might be wrong. Assessments describe what should be true. Hayrok executes governed validation scenarios and produces evidence-backed findings — with control response, detection response, reachability, and business impact.
What does Hayrok validate?+
Assets, exposure, identities, controls, telemetry, detections, and end-to-end attack paths — from external entry point to critical business asset — under policy and safety gates.
What evidence does Hayrok produce?+
Request and response artifacts, control responses, detection events, telemetry attribution, reachability paths, and business-impact mapping — all recorded in Evidence Fabric and tied to the run.
Is validation safe for production environments?+
Yes. Every scenario runs under Genesis with policy gates: authorized scope, safe-mode defaults, maintenance windows, blast-radius constraints, human approvals for exploit steps, and interruption controls.
Does Hayrok replace existing security tools?+
No. Hayrok validates them. It correlates scanner findings, control policies, and detection intent against reality — reducing noise and surfacing actual exploitable risk.
How often should validation be performed?+
Continuously for high-priority objectives. On-demand after significant environment changes. On schedule for board and audit assurance. Genesis runs and revalidates on any cadence.
Can teams revalidate completed remediation?+
Yes. Rerun the original scenario and Hayrok classifies the outcome as resolved, partially resolved, regressed, or still exploitable — with the same evidence contract as the initial finding.

Ready to validate cloud security risk?

See how Hayrok helps your team move from theoretical risk to evidence-backed validation.