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Constraints

Constraints represent when and for how long access is granted in the Alien Giraffe access control model. This component manages temporal restrictions, session durations, approval timeouts, and just-in-time access patterns. Policies reference constraints in their constraints: field to specify time windows and duration limits.

Constraints are one of the five core components that policies coordinate. When you define a policy, the constraints: field specifies temporal boundaries—business hours, maximum session durations, approval timeouts, and access schedules. This component provides the infrastructure for enforcing those time-based controls.

Just-In-Time (JIT) access is the primary implementation of constraints, providing temporary permissions that are granted only when needed and automatically revoked when no longer required. This eliminates standing privileges and reduces the attack surface.

Traditional access management grants users permanent permissions to data sources. Even if they only need access occasionally, they maintain these privileges indefinitely. This creates security risks—compromised credentials can be abused, and unused permissions accumulate over time.

JIT access flips this model: users request access when needed, receive temporary credentials, and have access automatically revoked when the session expires or their task is complete.

Core Benefits:

  • Reduced Attack Surface - No standing privileges to compromise
  • Least Privilege - Access granted only for specific purposes
  • Automatic Expiration - No manual cleanup required
  • Full Audit Trail - Every access request and session logged
  • Compliance - Meets regulatory requirements for access control

The complete JIT access workflow:

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1. Request

  • User requests access through web portal, CLI, or API
  • Specifies: data source, datasets, purpose, duration
  • Example: “I need read access to production-db for customer support for 2 hours”

2. Validate

  • Alien Giraffe checks user identity and active policies
  • Verifies request matches policy constraints
  • Validates requested duration is within policy limits

3. Approve (if required)

  • Some policies require explicit approval
  • Manager or data owner notified
  • Approver reviews purpose and scope
  • Approval expires if not acted upon

4. Grant

  • Temporary credentials generated
  • Scoped to specific datasets only
  • Set to expire at requested duration

5. Access

  • User connects with temporary credentials
  • All queries and operations logged
  • Session monitored for anomalies

6. Audit

  • Complete record of access created
  • Includes: who, what, when, why, which queries executed
  • Logs sent to SIEM or security monitoring

7. Revoke

  • Credentials automatically expire
  • Immediate revocation if session is terminated early
  • Access removed from all active connections

Sessions have configurable time limits:

Short Sessions (15m - 1h):

  • Sensitive data access
  • Production write operations
  • Emergency break-glass access
  • Compliance-restricted data

Medium Sessions (2h - 4h):

  • Customer support tasks
  • Incident investigation
  • Development work on staging
  • Standard data analysis

Long Sessions (8h - 24h):

  • Analytics and reporting
  • Data science experiments
  • Long-running ETL jobs
  • Batch processing tasks

Users can request specific durations within policy limits. Policies can set minimum and maximum bounds.

Enable JIT access for customer support team:

apiVersion: v1
kind: Policy
metadata:
name: jit-customer-support
namespace: production
spec:
subjects:
- team: customer-support
resources:
- source: production-db
datasets: [customers, orders, support_tickets]
constraints:
- timeframe: business-hours
- duration:
min: 30m
max: 4h
default: 2h
channels:
- name: sql
operation: rw
context:
- customer-support
jit:
enabled: true
approval: not-required

Require manager approval for production database access:

apiVersion: v1
kind: Policy
metadata:
name: jit-production-with-approval
namespace: production
spec:
subjects:
- team: engineering
resources:
- source: production-db
datasets: ["*"]
constraints:
- duration:
max: 2h
channels:
- name: sql
operation: rw
jit:
enabled: true
approval:
required: true
approvers:
- role: manager
- role: tech-lead
timeout: 1h # Approval request expires
escalation:
after: 30m
to: [senior-manager]
notification:
channels: [slack, email]
message: "Production database access requested"

Fast-track emergency access with strict auditing:

apiVersion: v1
kind: Policy
metadata:
name: jit-emergency-access
namespace: production
spec:
subjects:
- team: on-call-engineers
resources:
- source: production-db
datasets: ["*"]
constraints:
- timeframe: "*"
- duration:
max: 1h # Short emergency sessions
channels:
- name: sql
operation: rw
context:
- incident-response
- outage
jit:
enabled: true
approval: not-required # Skip approval for emergencies
breakGlass: true
mfa:
required: true # Still require MFA
audit:
level: verbose
notify:
immediate:
- slack: "#security-alerts"
- email: security@company.com
- pagerduty: security-oncall

Allow users to request access themselves:

apiVersion: v1
kind: Policy
metadata:
name: jit-analytics-self-service
namespace: production
spec:
subjects:
- team: data-analysts
- team: data-scientists
resources:
- source: analytics-replica # Read replica only
datasets: ["*"]
permissions: [SELECT] # Read-only
constraints:
- timeframe: business-hours
- duration:
min: 1h
max: 8h
default: 4h
channels:
- name: sql
operation: r
jit:
enabled: true
approval: not-required
selfService: true
requestForm:
fields:
- name: purpose
type: text
required: true
- name: ticket
type: url
label: "Jira ticket"
required: true

Self-service portal for access requests:

Features:

  • Visual interface for selecting sources and datasets
  • Pre-populated forms based on user’s team memberships
  • Real-time policy validation
  • Purpose documentation
  • Access history and active sessions

User Experience:

  1. Navigate to Alien Giraffe portal
  2. Click “Request Access”
  3. Select data source from dropdown
  4. Choose datasets (or all)
  5. Specify purpose and duration
  6. Submit request
  7. Receive credentials or await approval

Command-line interface for developers:

Terminal window
# Request access
a10e access request \
--source production-db \
--datasets customers,orders \
--purpose "customer-support" \
--duration 2h
# Output:
# ✓ Access granted
# Session ID: sess-abc123
# Expires: 2025-11-18 16:30:00 UTC
# Credentials: [saved to ~/.a10e/credentials]
Terminal window
# List active sessions
a10e access list
# Revoke session early
a10e access revoke sess-abc123
# Extend session (if policy allows)
a10e access extend sess-abc123 --duration 1h

Programmatic access for automation:

Terminal window
# Request access via API
curl -X POST https://a10e.company.com/api/v1/access/request \
-H "Authorization: Bearer $TOKEN" \
-d '{
"source": "production-db",
"datasets": ["customers"],
"purpose": "customer-support",
"duration": "2h"
}'
{
"sessionId": "sess-abc123",
"credentials": {
"host": "db.production.internal",
"port": 5432,
"database": "app_production",
"username": "temp_alice_abc123",
"password": "generated-secure-password",
"expiresAt": "2025-11-18T16:30:00Z"
}
}

Request access directly from Slack:

/a10e access production-db for customer-support

Alien Giraffe bot responds with approval workflow or credentials.

Request routed to user’s manager:

Approval Flow:

  1. User submits access request
  2. Manager notified via email/Slack
  3. Manager reviews purpose and scope
  4. Manager approves or denies
  5. User receives credentials or denial notification

Approval UI:

Access Request from Alice Chen
─────────────────────────────
Source: production-db
Datasets: customers, orders, payment_info
Duration: 2 hours
Purpose: Investigate payment issue for ticket SUPPORT-1234
Risk Level: Medium (contains PII and financial data)
[Approve] [Deny] [Request More Info]

Require approval from multiple parties:

jit:
approval:
required: true
approvers:
- role: manager # Requires manager AND data owner
- role: data-owner
strategy: all-must-approve # Not just any one approver

Automatically approve some requests, require approval for others:

jit:
approval:
rules:
- condition: datasets contains pii
required: true
approvers: [manager, data-privacy-officer]
- condition: duration > 4h
required: true
approvers: [manager]
- condition: time outside business-hours
required: true
approvers: [tech-lead, on-call-manager]

Create short-lived database users:

PostgreSQL Example:

-- Created when access granted
CREATE USER temp_alice_abc123 WITH PASSWORD 'generated-password';
GRANT CONNECT ON DATABASE app_production TO temp_alice_abc123;
GRANT SELECT ON customers, orders TO temp_alice_abc123;
-- Revoked when session expires
REVOKE ALL PRIVILEGES ON ALL TABLES IN SCHEMA public FROM temp_alice_abc123;
DROP USER temp_alice_abc123;

Credential Properties:

  • Unique username per session
  • Strong random password
  • Permissions scoped to approved datasets only
  • Automatic cleanup on expiration

Generate temporary API tokens:

credentials:
type: token
format: jwt
scopes: [data:read]
claims:
user: alice@company.com
session: sess-abc123
source: production-db
datasets: [customers, orders]
expires: 2025-11-18T16:30:00Z

Generate temporary cloud credentials:

AWS Example (STS Assume Role):

{
"AccessKeyId": "ASIATEMP...",
"SecretAccessKey": "...",
"SessionToken": "...",
"Expiration": "2025-11-18T16:30:00Z"
}

Scoped IAM Policy:

{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["s3:GetObject", "s3:ListBucket"],
"Resource": [
"arn:aws:s3:::data-lake/customers/*",
"arn:aws:s3:::data-lake"
],
"Condition": {
"DateLessThan": {"aws:CurrentTime": "2025-11-18T16:30:00Z"}
}
}]
}

Match session length to task:

  • Customer support inquiries: 2-4 hours
  • Incident response: 1-2 hours
  • Data analysis: 4-8 hours
  • Emergency access: 30 minutes - 1 hour

Avoid excessively long sessions. If users regularly need full-day access, consider whether the data should be replicated to a less-sensitive environment.

Always require users to specify why:

  • Links justification to access
  • Aids compliance audits
  • Helps security investigations
  • Provides context for approvers

Good purpose examples:

  • “Investigating payment issue for customer ticket SUPPORT-5678”
  • “Analyzing user churn for Q4 report”
  • “Debugging production outage INCIDENT-1234”

Bad purpose examples:

  • “Testing”
  • “Work stuff”
  • “Need access”

Allow extending sessions without re-requesting:

  • User can extend active session
  • Extension subject to same policy limits
  • Requires re-authentication or approval
  • All extensions logged
Terminal window
# Extend current session by 1 hour
a10e access extend --duration 1h

Track JIT usage to identify:

  • Frequently requested access (candidate for permanent read replica)
  • Unused approvals (policy too permissive)
  • Denied requests (policy too restrictive)
  • Anomalous patterns (potential security issues)

Revoke sessions that are idle:

jit:
session:
maxDuration: 4h
idleTimeout: 30m # Revoke if no activity for 30 minutes
idleWarning: 5m # Warn user 5 minutes before idle revoke

Regularly verify break-glass access works:

  • Conduct fire drills for incident response
  • Ensure on-call engineers can access production quickly
  • Verify approval workflows don’t block emergencies
  • Test revocation procedures

Allow engineers to access production with approval:

spec:
subjects:
- team: backend-engineers
resources:
- source: production-db
datasets: ["*"]
permissions: [SELECT] # Read-only
channels:
- name: sql
operation: r
jit:
enabled: true
approval:
required: true
approvers: [tech-lead]
maxDuration: 2h

Enable data teams to access analytics databases:

spec:
subjects:
- team: data-analysts
resources:
- source: analytics-warehouse
datasets: ["*"]
channels:
- name: sql
operation: r
jit:
enabled: true
approval: not-required # Self-service
maxDuration: 8h
requestForm:
requirePurpose: true
requireTicket: true

Grant temporary access to contractors:

spec:
subjects:
- user: contractor@external.com
resources:
- source: staging-db
datasets: [project_data]
constraints:
- timeframe:
start: 2025-11-01
end: 2025-12-31 # Contract period
- duration: 4h
channels:
- name: sql
operation: rw
jit:
enabled: true
approval:
required: true
approvers: [hiring-manager, security-team]
  • Policies - Centralize constraint definitions with other access control components
  • Subjects - Define who receives time-limited access
  • Resources - Specify what data is accessed temporarily
  • Channels - Control how temporary access is granted
  • Context - Provide purpose and justification for time-limited access