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Just-in-Time Access To BigQuery

Leverage the integration of BigQuery with Apono to automate the management of access to BigQuery databases. Effortlessly establish dynamic access workflows, provide granular permissions, and obtain a comprehensive audit trail detailing the who, why, and when of BigQuery access.

Note: You can also choose to integrate RDS or Azure SQL

Just-inTime
(JIT)

BigQuery is a fully managed, serverless data warehouse and analytics platform provided by Google Cloud Platform (GCP). It allows users to analyze large datasets in real-time using SQL queries. BigQuery is designed to handle massive volumes of data and provide high-performance analytics without the need for managing infrastructure or worrying about scaling.

Just-in-time (JIT) access involves assigning permissions to users or systems in real-time as needed, rather than maintaining continuous access. This strategy is frequently employed in cybersecurity to reduce the risk of security breaches by restricting unnecessary access. It aligns with the principle of least privilege (POLP), emphasizing that users should only have the minimum access levels required to fulfill their tasks

AWS Use Cases

Developer JIT access

  • Limit access to the minimum required permissions and implement strict controls on when those permissions are granted. JIT access helps enhance overall security. This proactive approach reduces the risk of unauthorized access and potential security breaches.
  • Integrate JIT access with your incident response plan. In the event of a security incident, having the ability to quickly adjust access permissions can be crucial for containing and mitigating the impact.
  • Utilize JIT access with your identity management systems. This integration streamlines the process of aligning access permissions with changes in user roles, making it more efficient and less prone to errors.
When
Developers
requests
READ/WRITE
to
BigQuery
from
BigQuery_Prod
grant access for
4 hours
with
customer
approval

Secure Break-glass Access

  • Manage break-glass access, balancing the need for emergency access with the imperative of maintaining robust security measures.
  • Implement robust logging and monitoring systems to track and record break-glass access events.
  • Dynamically grant only the permissions needed for the task at hand to prevent costly mistakes in production and downtime.
When
Developer_on_duty
requests
READ/WRITE
to
any resource
from
BigQuery
grant access for
1 hour
with
automatic
approval

Automated access

  • Escape the frustration of ticket fatigue and the time-consuming nature of manual provisioning through the implementation of automated access flows.
  • Embrace innovation to revolutionize your workflow, saving time and resources, enhancing efficiency, and ensuring a secure access management system.
  • Automate your access control and witness a transformative shift in permission allocation within your organization.
When
Developer
requests
READ
to
any resource
from
BigQuery
grant access for
2 hours
with
automatic
approval

Benefits

Apono automates access management to BigQuery

Apono empowers you to craft dynamic Access Flows, providing on-demand permissions with meticulous granularity and comprehensive audit capabilities.

01

Comprehensive Audit Log

Enhance BigQuery access and permissions transparency, facilitating comprehensive auditing for incident investigation and the implementation of scheduled reporting mechanisms to meet compliance requirements effectively.

02

Automating Access and Permissions to BigQuery

Automate Self-Serviceable permissions to BigQuery database or schemas directly from Slack, Teams or from your CLI.

03

Granular BigQuery Database Access

Define BigQuery database and schema permissions as fine-grained as necessary.

04

Automated Database Permissions Approval Workflows

Define access approval workflow based on defined organizational permission guardrails.

05

Restricted Third-Party Access

Grant third-party (customer or vendor) time-based access to specific buckets, databases or instances with MFA verification.

06

Self-Serve Permissions

Self-serve permissions to BigQuery database or collections directly from Slack, Teams or from your CLI.

07

Break-Glass Scenarios

Equip first-responders with the capability to access permissions on demand, while concurrently capturing essential incident context, details of granted access, and the chronological timeline of events.

08

Decreased Insider Threats

The implementation of just-in-time privilege escalation serves to mitigate internal threats by ensuring that personnel are granted access to sensitive information or specific operational capabilities only when essential. This precautionary measure helps prevent unauthorized or unintentional data access.

How Apono works in 3 steps

Three easy steps are what it takes to create just-in-time and just enough
permissions for everyone with access to your cloud assets and resources

01

Connect Apono to BigQuery:

Automatically discover all databases managed by BigQuery.

Review Access

View a detailed access audit of who was granted access to which instances with what permission level and why.

15-Minute Deployment

No Secrets Stored

Full Access Visibility