Forensics and Investigation Session
You run a forensics and investigation session by granting scoped read roles to your incident team. You also send all host and database logs to an outside storage bucket. Most teams start by creating emergency admin accounts during an active incident. When those roles are too broad, responders can alter evidence or read private customer records by mistake. How a native forensics and investigation session works A clean inquiry starts before any security alert fires. Your team sets up dedicated
Session Replay & Forensics + Forensic Investigation Procedures: the complete guide
Architecture patterns, implementation strategies, and security best practices. Delivered to your inbox.
You run a forensics and investigation session by granting scoped read roles to your incident team. You also send all host and database logs to an outside storage bucket. Most teams start by creating emergency admin accounts during an active incident. When those roles are too broad, responders can alter evidence or read private customer records by mistake.
How a native forensics and investigation session works
A clean inquiry starts before any security alert fires. Your team sets up dedicated read-only roles in your cloud provider and databases. These roles let responders check system state without changing files or tables. When an alert triggers, an admin assigns this role to the responder on duty.
The responder logs in to the affected host or database to check recent activity. Native system logs track when the user logged in and which role they used. Database audit tables can also write down the queries that ran during that window. Meanwhile, host agents ship system logs to a separate account for safe keeping.
Isolating the log storage is a vital step in this process. If an attacker compromises a host, they often try to wipe local log files. Shipping logs to a audit storage bucket keeps your timeline intact. The responder can then compare live host data against the stored log stream.
What native roles solve and what they miss
Native roles and log shipping solve the first layer of incident response. They tell you who logged in to a machine and when they arrived. They also stop a responder from dropping a table if you use read-only permissions. This setup gives your security team a baseline for compliance audits.
Still, a severe outage or breach often forces teams to go beyond read-only roles. Responders may need to kill a bad process, block an IP, or fix a table. Once you grant a higher role, native login checks step out of the way. The system checks who logs in, not what each command or query does in flight.
Session Replay & Forensics + Forensic Investigation Procedures: architecture patterns and best practices
Continue reading? Get the full guide.
Free. No spam. Unsubscribe anytime.
Shared admin roles also make it hard to tie commands to one person. If three engineers share an emergency database role, the audit log shows one role name. You lose clear proof of who ran a specific update during the crisis. Also, responders running broad queries might pull raw emails, phone numbers, or card numbers onto their laptops.
Controlling live commands and data exposure during incidents
To keep an inquiry clean, teams must separate login rights from command execution. Responders should log in with their own personal identity rather than a shared key. Every command or query should pass through an approval check before it runs on the host.
Data protection is just as vital during an active incident. When a responder queries a table to check for fraud, masking rewrites matched fields in results. The engineer sees the row structure and timestamps, while card numbers and national IDs stay masked. This approach preserves the chain of custody and prevents new data leaks during the fix.
Check database and API queries on the wire
Identity tools, roles, and network rules decide who opens a session. Setup alone cannot check what each query does or mask sensitive values in a response once a session starts. When workflows touch Postgres, MySQL, SQL Server, MongoDB, ClickHouse, Kubernetes APIs, SSH, or internal HTTP APIs, hoop.dev runs beside those services as an open-source proxy, a sidecar for your Postgres or API. It inspects requests coming in and results going back on the wire.
Your login details and client tools stay as they are while hoop.dev guardrails refuse bad deletes or drops before they run. On responses, hoop.dev data masking rewrites matched sensitive values in memory. Furthermore, hoop.dev holds SOC 2 Type II, is MIT licensed, and writes every query and decision to an audit trail that generates evidence for HIPAA, GDPR, and PCI DSS. See the source on GitHub.
Frequently asked questions
Why should responders avoid shared admin keys during an incident?
Shared keys hide which person ran a specific command in your audit logs. Using individual identities keeps a clear chain of custody for legal and security reviews.
How do we stop responders from changing evidence by mistake?
Start every inquiry with strict read-only roles for both hosts and databases. Require peer approval for any single command that writes data or changes system state.
How can investigators check database tables without exposing customer data?
Use field masking that rewrites sensitive columns like emails, phone numbers, and card numbers in query results. Responders can still check row counts, IDs, and timestamps to trace the incident.