01AWS / IAM / STS
AWS cross-account access
Scoped trust relationships and permissions for approved AWS-to-AWS workflows.
Curated and validation-backed
AI security · identity trust control plane
Identity trust, compiled for cross-organizational access.
Aegis compiles cross-organizational access intent into least-privilege, reviewable trust artifacts. AI helps interpret the request; deterministic policy logic, tenant guardrails, and human approval control what ships.
Trust compilation / active
Request 7F2AAWS → Snowflake
“Allow finance analytics to read curated S3 exports for 30 days.”
Intent normalized
scope + lifetime captured
Dependencies resolved
S3 · STS · KMS
Tenant policy applied
finance-data boundary
Risk clarification
confirm KMS key scope
Output after approval
Signed access package
Trust compilation
3 checks complete · 1 review required
01Intent scoped
02Dependencies resolved
03Policy validated
04Evidence signed
The translation gap
Access requests arrive as intent. Infrastructure expects exact trust.
Security teams are asked to turn business needs into permissions, trust policies, resource boundaries, and deployment steps. Aegis makes that translation explicit, reviewable, and bounded.
01
Understand the request
Capture who needs access, to what, for which workflow, and for how long.
02
Interrogate the risk
Resolve modeled dependencies and ask for missing encryption, network, and scope decisions.
03
Compile the trust package
Produce deterministic artifacts constrained by customer policy and validation rules.
Control model
AI interprets. Policy controls. People approve.
The workflow is cyclical by design. When Aegis encounters ambiguity, it returns to clarification instead of guessing its way into broader access.
01
Capture intent
Describe the connection, resources, scope, and lifetime in operational language.
02
Resolve dependencies
Map the supported workflow to curated permissions, trust objects, and setup requirements.
03
Clarify risk
Pause on missing scope, encryption, network boundaries, or unresolved blast radius.
04
Compile and validate
Apply tenant guardrails and deterministically compile a least-privilege access package.
05
Review and hand off
Present signed artifacts and evidence for human approval and customer-controlled deployment.
Curated workflow support
Narrow enough to defend. Deep enough to deploy.
Aegis models a focused set of high-value workflows. Unsupported requests do not silently expand into guessed permissions.
02AWS / Splunk
AWS to Splunk ingestion
Curated source access and connector setup for supported Splunk ingestion paths.
Curated and validation-backed
03AWS / Wiz
AWS to Wiz visibility
Reviewable access packages for narrowly modeled Wiz security visibility workflows.
Curated and validation-backed
04AWS / Snowflake
AWS to Snowflake storage
Guided trust and SQL artifacts for supported S3 storage integration workflows.
Curated and validation-backed
Assurance architecture
Security claims should be inspectable.
Aegis separates probabilistic language understanding from the controls that decide what can be generated, approved, and handed to a customer environment.
Deterministic output
AI interprets intent. Validated models and deterministic templates produce the final artifacts.
Tenant-specific boundaries
Approved patterns, banned actions, required tags, and execution limits stay organization-specific.
Fail-closed decisions
Unknown dependencies and unresolved risk stop compilation or route the request to guided review.
Verifiable evidence
Signed artifacts and a tamper-evident chain connect intent, clarification, approval, and handoff.
Evidence chain
verified01
Intent submittedSHA-256 · linked
02
Knowledge resolvedworkflow evidence
03
Clarification recordedscope confirmed
04
Policy package compileddeterministic
05
Approval capturedidentity bound
06
Artifact handoffEd25519 signed
A different operating model
Control, not autonomy.
The goal is not to let an agent operate freely. The goal is to give security teams a stronger way to define and prove trust.
ControlManual IAM workflowAegis control plane
InputTickets, scripts, and tribal knowledgePlain-language intent plus explicit scope
Policy modelOne-off permissions assembled by handCurated workflow and tenant policy overlay
UnknownsAssumptions often pass into configurationMissing evidence pauses or fails closed
ApprovalReview happens across fragmented toolsOne reviewable package with decision context
EvidenceLogs are incomplete or difficult to connectSigned artifacts and linked lifecycle events
Start with one workflow
Bring us the access path you cannot afford to get wrong.
We will review the identity boundary, approval model, and evidence requirements with your security team.