The AI your team already uses can’t see the network.
Now it can with Plixer AI.
Scrutinizer MCP opens the actual flow record to the AI your team already runs. Connect Claude, ChatGPT, or your agentic SOC platform.
Built for network and security engineers who would rather point their own tools at the real record than log into another vendor’s console.
Introducing Scrutinizer MCP, plus Plixer AI’s own investigative agents and extended flow history.
- Point your own AI, Claude, an enterprise ChatGPT client, or your agent, at the flow record over MCP
- AI Insights ranks the day’s incidents and traces each to a likely cause; the investigation is already done when you open it
- Direct the Plixer AI Assistant to investigate an alarm and run the response playbook in plain English
- Pull a host’s history back months or years from multi-tier flow storage
Your AI Can See the Network Now
This release opens the investigative engine to whatever AI your team already runs, puts Plixer’s own SOC and NOC agents to work investigating your alarms, and keeps the flow record searchable for months to years. Whatever runs the investigation, your AI or ours, every recommendation comes with the flows behind it.
Bring your own AI. Point it at the network record.
This is the part your NDR can’t ship. The Scrutinizer MCP server exposes the full investigative engine to whatever AI your team already standardized on, Claude, an enterprise ChatGPT client, or your agentic SOC platform, over the open standard Anthropic introduced and the ecosystem adopted. Your agent runs flow reports, resolves plain-language names to the interfaces behind them, pivots to the top talkers, browses and acknowledges alarms, tunes detections, triggers packet captures, and opens Collections, all under your existing Plixer permissions. It answers from the actual flow record, not a guess.
Prefer the platform to run it? Plixer’s own agents do the same work.
Plixer AI is the SOC and NOC agents that investigate your alarms and the assistant that does it on demand, plus the ML that learns what normal looks like on your network. They correlate the flows, build the timeline, name the likely cause, and recommend the next step from your own runbooks, and every recommendation traces back to the flows behind it, so you confirm the call instead of trusting it.
Ranked incidents, with the investigation already run.
AI Insights watches the day’s alarms, events, and traffic and runs the ML that learns what’s normal per host, service, and identity, so the deviation that matters surfaces instead of the noise. It correlates the related flows, builds the attack timeline, names the likely cause, and ranks the incident by observed risk and impact. The NOC agent surfaces the saturated interface and the top-talker anomaly; the SOC agent surfaces the affected hosts and the lateral movement. You open ranked incidents with the evidence attached, not a raw alarm list.
Hand it an alarm. It runs the investigation, not just the report.
The Plixer AI Assistant works inside Plixer One as an investigator you direct in plain English. Point it at an alarm and it correlates the related hosts and interfaces, pulls the historical activity, builds the brief and the timeline, and runs the response playbook, recommending the next step from your runbooks and policies. It holds context across your follow-up questions, and under Plixer’s governance it can take the allowlisted action you approve, never an autonomous one.
The context was already there when the incident started three weeks ago.
Multi-tier flow storage and at least one-year host indexing keep the record searchable long after the flows age out of everyone else’s tools. Trace a performance regression back to the night the route changed. Scope an incident to the hosts involved before the alarm ever fired. Pull a host’s first-and-last-seen and every peer it talked to. No SIEM export required.
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Network performance and security from the same flow data your team has trusted for more than 25 years.