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  • AI SOC - BY RADIANT

Your team ins't missing threats. They're drowning in alerts.

Mercurius AI SOC pairs Radiant Security’s AI-driven triage with offensive-led human analysts — investigating every alert automatically and cutting detection-to-response from days to minutes. Operating 24/7 across Brazil, Chile, and the U.S.

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· Operations in Brazil  ·  Chile  ·  USA  ·  MITRE ATT&CK aligned

· 24/7 monitoring

SOC // live triage ACTIVE
EDR · endpoint scannoise
auth · failed login ×3noise
identity · impossible travelSIGNAL
cloud · config driftnoise
lateral · SMB enumerationSIGNAL
dns · routine lookupnoise
9,214 alerts today 2 escalated

<2 min

Average automated triage per alert

95%

Alerts auto-investigated before reaching an analyst

24/7

Continuous coverage across three countries

3×

Faster mean-time-to-respond vs. traditional SOC
  • THE PROBLEM WE SOLVE

Detection was never the hard part. Triage is.

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 sit in a queue for hours or days.

An AI SOC inverts the model: machines do the triage, humans do the judgment.

SIEM
SOAR
EDR / XDR
MITRE ATT&CK
MTTD
MTTR
Alert fatigue

What is an AI SOC?

An AI SOC (AI-driven Security Operations Center) is a managed service that uses artificial intelligence to automatically 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 scaling analyst headcount linearly with alert volume.

  • CAPABILITIES

Four jobs, done before your analysts wake up

Each capability is built on the same principle: automate the volume, escalate the judgment, and feed every incident back into a hardening loop.

  • 01 / AI SOC as a Service

Every alert investigated. Automatically.

No alert goes untouched — and your analysts stop chasing ghosts.

Continuous monitoring and autonomous investigation, powered by Radiant Security. The AI works every alert end-to-end, so your team only sees confirmed, contextualized threats.

  • 24/7 monitoring with no triage backlog
  • Full investigation narrative per incident
  • Analyst time redirected to confirmed threats
  • 02 / Threat Detection

Correlated across your entire stack.

The breach isn’t in one log. It’s the pattern across all of them.

AI correlates signals across endpoint, network, cloud, and identity — surfacing the multi-step attacks that single-tool alerts miss, mapped directly to MITRE ATT&CK techniques.

  • Cross-domain signal correlation
  • Behavioral and anomaly-based detection
  • Attack chains mapped to ATT&CK
  • 03 / Incident Response

Contained before it spreads.

Stopping lateral movement is the whole game.

Rapid containment and remediation driven by offensive-led playbooks. We move at attacker speed — isolating compromised assets before a foothold becomes a full breach.

  • Guided and automated containment actions
  • Offensive-led response playbooks
  • Clear remediation steps, not just alerts
  • 04 / Digital Forensics

Evidence that holds up.

After the incident, the questions get harder — be ready for them.

Investigation and reconstruction of security incidents with chain-of-custody integrity — built to satisfy legal, regulatory, and board-level scrutiny.

  • Timeline reconstruction and root-cause analysis
  • Evidentiary integrity preserved
  • Reporting for regulators, insurers, and the board
  • HOW IT WORKS

An offensive feedback loop, not a ticket queue

What makes Mercurius different is the last step: every incident sharpens your defenses through an offensive-led hardening cycle.

01

Detect

Telemetry flows in from SIEM, EDR, cloud and identity — 24/7, no gaps.

02

Investigate

AI works every alert end-to-end, building a full investigation in under two minutes.

03

Validate

Human analysts confirm escalations and apply context machines can’t.

04

Respond

Containment and remediation at attacker speed, before lateral movement.

05

Harden

Offensive insight feeds back — closing the gap the attacker tried to use.

 
  • Step 05 feeds back into detection — the loop that turns every incident into a stronger posture.
  • THE ECOSYSTEM

A Radiant engine, wired into the tools you already run

We don’t ask you to rip and replace. Mercurius AI SOC layers intelligence on top of your existing security investment.

  • CORE AI ENGINE

Radiant Security is the AI engine at the heart of our SOC — autonomously investigating, triaging and responding to alerts at machine speed. Mercurius operates it as a managed service, backed by offensive-led analysts who validate every escalation.

Radiant Security partnership
AI-driven detection, investigation and response

Integrated with your stack

AI SOC ingests and correlates signal from across your environment — no central console required.

[ SIEM ]
Log & event mgmt
[ EDR ]
Endpoint / XDR
[ IAM ]
Identity
[ CLOUD ]
AWS · Azure · GCP
[ NDR ]
Network
[ EASM ]
Cactus surface mgmt

COVERAGE

24 / 7 / 365

Always-on monitoring and response

APPROACH

BR · CL · US

Operations across three countries

LANGUAGES

PT · EN · ES

Native analyst support

APPROACH

Offensive-led

Defense informed by how attackers think

  • QUESTIONS

Frequently asked questions

How is an AI SOC different from a traditional MSSP?

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.

Will it integrate with the SIEM and EDR we already use?

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.

How does it reduce alert fatigue and analyst burnout?

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.

What does "offensive-led" actually change for me?

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.

What are your response times and SLAs?

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.

How does AI SOC support compliance and reporting?

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.

  • START HERE

See what your SOC is missing.

Request a no-cost SOC assessment. We’ll review your current detection and response posture and show you, concretely, where alerts are slipping through — and what an AI SOC would change.

  • A review of your current alert volume and triage gaps
  • Where your real MTTD / MTTR stands today
  • A clear picture of coverage across your stack
  • No obligation, no rip-and-replace pitch
Transparent Shooting Stars

Ecosystem

A Unified Cybersecurity Ecosystem

Mercurius integrates best-in-class cybersecurity platforms to deliver automated and intelligence-driven security operations.

Strengthen Your Cyber Resilience Today

Our team helps organizations detect threats earlier, respond faster, and reduce cyber risk through intelligence-driven security operations.

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