Our AI-driven SOC investigates every alert, and our analysts decide what matters. Because we are an offensive security company, every technique we know how to use becomes a detection we know how to catch.
· Operations in Brazil · Chile · USA · MITRE ATT&CK aligned
· 24/7 monitoring
A modern enterprise generates tens of thousands of security alerts a day. Most are noise. A handful are the early signal of a breach. Traditional SOCs throw analysts at the volume until they burn out, and the real threats wait in a queue for hours or days.
An AI SOC inverts the model: machines do the triage, people do the judgment.
An SOC AI (AI-driven Security Operations Center) is a managed service that uses artificial intelligence to investigate and triage every security alert across an organization’s tools: SIEM, EDR, cloud and identity. It correlates signals against frameworks like MITRE ATT&CK, dismisses false positives and escalates confirmed threats to human analysts.
The result is a sharp reduction in MTTD and MTTR, without growing analyst headcount at the same pace as alert volume.
The people who know how to break in are the ones who write your detections. Switch the view and compare.
What makes Mercurius different is the last step: every incident sharpens your defenses through an offensive-led hardening cycle.
01 Detect
02 Investigate
03 Validate
04 Respond
05 Harden
The AI SOC is the core. Around it, the controls that close the blind spots attackers use most.
Activation within 2 hours, containment, root-cause analysis and timeline reconstruction with evidentiary integrity for regulators, insurers and the board.
Access by identity and context from network to endpoint, so a stolen credential doesn’t open the whole environment.
Protection against phishing, business email compromise and social engineering in email, WhatsApp and Teams.
Decoys and lures across IT, OT and cloud. Any touch is a high-fidelity signal of an intruder already inside.
Cloud posture plus immutable, air-gapped backup of M365, Entra ID and Google Workspace data.
For your engineers: Context to act, not just alerts.
Investigation narrative per incident: What happened, how it was found, what was done and why, mapped to MITRE ATT&CK.
Clear remediation steps: Specific actions to close the gap, prioritized by risk.
Monthly committee: A standing review with your team to adjust priorities and coverage.
For your auditors: Evidence produced by the operation itself.
Containment evidence: Every action logged with chain-of-custody integrity.
Compliance support: Evidence for ISO 27001, LGPD and sector rules from the Central Bank of Brazil and Chile’s CMF.
Forensic reports: Timeline reconstruction and root cause for regulators and insurers.
For your board: What leadership needs to decide.
Monthly executive report: Risk trends, response performance and hardening actions in business language.
First board report at 90 days: Risk indicators and the plan for the next cycle.
Annual review: A new plan and a review of your acceptable risk level.
A traditional MSSP scales people against alert volume — more alerts, more analysts, more cost, more lag. An AI SOC scales investigation: AI works every alert automatically, so analysts spend their time on confirmed threats instead of triage. You get faster response without your costs growing linearly with your alert count.
Yes. AI SOC is built to layer on top of your existing stack — SIEM, EDR/XDR, cloud and identity providers. There’s no rip-and-replace: we ingest and correlate the telemetry you already produce, and add the investigation and response layer on top.
By removing manual triage entirely. The AI investigates and dismisses false positives before they ever reach a human. Your analysts only see confirmed, contextualized incidents — which means fewer hours lost to noise and a team that stays sharp on what matters.
Mercurius is an offensive security company first. Our analysts know how attackers move because they are attackers, in a controlled sense. That shapes detection logic, response playbooks, and a hardening loop that closes the specific gaps an adversary would exploit next — not just the alert in front of you.
Automated triage completes in under two minutes per alert, around the clock. Validation and containment SLAs are defined per engagement based on your environment and risk profile, and confirmed in your service agreement before onboarding.
Every incident is documented with full investigation context and chain-of-custody integrity. That feeds regulator, insurer and board-level reporting, and supports frameworks your organization is held to — including ISO 27001 controls and LGPD obligations in Brazil.
Request a no-cost SOC assessment. We review your current detection and response and show you, concretely, where alerts are slipping through.