Modern NOC and SOC environments are driven by automation, integration, and repeatable processes. Ticketing systems, SOAR platforms, SIEMs, and custom internal tools orchestrate end-to-end workflows. Packet analysis, however, has remained largely manual and disconnected.
Packet captures get generated by network taps, sensors, or security tools. Someone notices an alert. Someone else downloads a PCAP. An expert opens it in a desktop tool, finds something interesting, and then takes a screenshot or summarizes the result for the rest of the team.
That model does not scale.
CloudShark Enterprise 5.1 introduces the Deep Packet API. Instead of treating packet analysis as a human-only activity, the platform exposes real analysis functionality via an API endpoint, enabling enterprise systems to trigger, consume, and operationalize packet-level insights programmatically.
Enterprise teams already know why packet data matters. PCAPs provide ground truth. They provide evidence. When dashboards disagree or alerts lack context, packets settle the argument.
The problem is not the value of packet data. The problem is how that data fits into enterprise processes.
As a result, packet analysis is often reserved for escalations only rather than integrated into routine detection, validation, and response workflows.
The Deep Packet API in CloudShark Enterprise turns packet analysis into a callable service.
Instead of retrieving only file metadata, external systems can request analysis actions and receive structured results. That shift enables automation to drive packet workflows the same way it already drives log analysis, endpoint response, and configuration management.
At a high level, the API allows enterprise tools to:
This makes packet analysis something your systems can do, rather than simply providing pcap data to analysts using Wireshark.
The problem: Security alerts often fire based on heuristics, signatures, or statistical anomalies. Analysts then need to confirm whether the alert represents real malicious or faulty behavior.
The automated approach: When an alert triggers, a SOAR or SIEM workflow can automatically invoke the Deep Packet API to analyze the relevant capture window.
Examples include:
The outcome: Alerts arrive to analysts already enriched with packet-level context, reducing false positives and speeding triage.
The problem: During active incidents, teams need rapid feedback on whether containment or remediation steps worked.
The automated approach: After a firewall rule change, ACL update, or endpoint isolation, workflows can re-query packet data through the API to confirm that:
The outcome: Packet analysis becomes part of the feedback loop, rather than a post-incident artifact.
The problem: Network issues escalate from Tier 1 to Tier 3 with incomplete context. Each escalation repeats discovery work.
The automated approach: Monitoring systems can automatically attach packet-level findings to tickets by calling the Deep Packet API when thresholds are exceeded.
This may include:
The outcome: Escalations arrive with evidence, reducing mean time to resolution.
The problem: After network or security changes, teams rely on dashboards and counters that may miss edge-case failures.
The automated approach: Change-management workflows can automatically analyze packet captures before and after changes, validating expected protocol behavior via the API.
The outcome: Packet analysis becomes part of standard change validation rather than an emergency tool.
The Deep Packet API aligns packet analysis with how enterprises already operate:
For NOCs and SOCs, this means packet data finally participates in the same operational maturity curve as logs, metrics, and alerts.
CloudShark Enterprise has always focused on making packet analysis scalable and enterprise-ready. The Deep Packet API extends that philosophy beyond the UI.
Packet analysis no longer needs to sit outside your automation ecosystem. It can become a native capability that your automation, integration, and response platforms can rely on.
