Powered by Helios AIDR and the Helios Fleet of agents, Mitiga delivers MTTR at the speed attackers move, from event to triage, to actionable response in under 3 minutes.
Mean Time to Respond (MTTR) is the time from an event to an alert an analyst can act on, including vendor delay, collection, and triage. Every result is enriched and AI-triaged before it ever reaches your team.
The time from initial access to lateral movement is measured in seconds. Legacy detection pipelines, with batch scans, daily posture checks, and manual triage, aren’t built to keep pace. By the time a human analyst opens the alert, the attacker has already moved on.
Standard mean time to respond
The goal MTTR for most organizations
MTTR at machine speed
Sources: Mitiga platform data · CrowdStrike 2026 Global Threat Report · Sysdig 2026 Usage Report
For real-time detections, the alerts that make up the majority of day-to-day SOC activity, Mitiga detects, enriches, triages, and delivers to your team in under three minutes, start to finish.
This is a new architecture, built from the ground up for the infrastructure attackers target across cloud, SaaS, identity, and AI. Machine-speed detection for complex, pattern-based detections that need hours of accumulated data will follow.
Mean Time to Respond (MTTR) is the time from an event to an alert an analyst can act on, including vendor delay, collection, and triage.
Cloud, SaaS, identity, AI, third parties. Event-driven pull every minute, or pushed by vendor.
Single-event detectors run on the stream as each event lands, under 3 minutes from data arrival. Behavioral detectors run on hourly windows.
Identity, asset, and history pulled from the forensic data lake. Severity is set, noise is closed, and the incident is stitched as it arrives.
Triaged alert in your SIEM, SOAR, ticket queue, or chat, with a response action attached and auto-run where you allow it.
From event to triaged, actionable alert. One illustrative response, start to finish.
Identity, asset, and history pulled from the forensic data lake.
Severity is set, noise is closed, and the incident is stitched as it arrives.
Triaged before it ever reaches your team, with an auditable verdict.
Response action attached, auto-run where you allow it.
Delivered to your SIEM, SOAR, ticket queue, or chat.
An AI SOC is a collaboration between multiple agents. Helios Fleet is the detection and response specialist in that collaboration, built for the infrastructure attackers target across cloud, SaaS, identity, and AI. Your AI SOC effort gets a foundation to build on.
Every result is enriched and AI-triaged before it ever reaches your team.
Each with an auditable verdict.
Before they ever reach your team.
At machine speed, each with an auditable verdict.
In ~10 minutes on average, up to a board-ready report.
The Hugging Face-style agentic attack simulation replays a real-world AI supply chain intrusion step by step, and shows where Mitiga detects, investigates, and contains it.
Insight Brief
The full step-by-step simulation, modeled against Mitiga
Webcast
Ariel Parnes, Brandon Allen, and Brian Contos walk the attack
Free tabletop exercise
Simulate the same kind of attack against your own environment
Helios Fleet is Mitiga’s system of six specialized AI agents. Each owns one SOC job. All six share one memory and run on one normalized data layer spanning cloud, SaaS, identity, and AI, so every handoff carries full context.
Together they cover the entire threat lifecycle at machine speed, from prepare through detect and analyze, contain and recover, and learn and prevent. Every case feeds back into better detections.
Six agents decide. One acts.
Responder is the only agent that touches production, with no privileged access of its own, working through the SOAR and tools you already run. Reversible actions run on the loop. Irreversible ones wait for your approval.
The time from an event to an alert an analyst can act on, including vendor delay, collection, and triage. Every result is enriched and AI-triaged before it ever reaches your team.
Real-time detections, the alerts that make up the majority of day-to-day SOC activity. Single-event detectors run on the stream as each event lands; behavioral detectors run on hourly windows, not daily batches. Machine-speed detection for complex, pattern-based detections that need hours of accumulated data will follow.
Six agents decide. One acts. Responder is the only agent that touches production, with no privileged access of its own, working through the SOAR and tools you already run. Reversible actions run on the loop. Irreversible ones wait for your approval.
An AI SOC is a collaboration between multiple agents. Helios Fleet is the detection and response specialist in that collaboration, built for the infrastructure attackers target across cloud, SaaS, identity, and AI.
The Hugging Face agentic attack simulation replays a real-world AI supply-chain intrusion step by step, and shows where Mitiga detects, investigates, and contains it.
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