Mercurius unites offensive security, AI-driven detection, threat intelligence and cyber governance into one operating model, so your organization detects exposure earlier, responds faster, and reports risk to the board in business terms.
The longer exposure goes unseen, the more a breach costs across regulatory exposure, downtime and recovery. The Mercurius platform is built to compress that window.
Source — IBM Cost of a Data Breach Report 2025 (Ponemon Institute). Figures are industry benchmarks, not Mercurius client results.
Network-level security for your subscriber base.
Automated security operations powered by AI
Control every stage of a fraud chain. One operation and evidence a regulator can accept.
Continuous adversary simulation and penetration testing.
Continuous identification and prioritization of vulnerabilities.
Executive oversight, compliance automation and risk strategy.
Real-time intelligence about cyber threats and digital exposure.
Six enterprise pillars cover the entire lifecycle — from discovery to governance, including fraud prevention. The seventh extends protection to the operators’ subscriber base.
Continuous adversary simulation — penetration testing and Red Team — that finds exploitable paths before attackers do, then feeds findings back into detection.
Outcome — exploitable risk found and closed first
Automated security operations powered by AI. Correlates signals across your existing SIEM, EDR and cloud, cuts alert noise through AI triage, and accelerates response.
Outcome — mean time to detect, hours → minutes
Real-time intelligence on emerging threats and your digital exposure — tuned to the LATAM threat landscape, not generic global feeds.
Outcome — anticipate, don’t react
Continuous discovery and prioritization of vulnerabilities and unknown assets, so nothing exposed becomes a breach vector while you’re looking elsewhere.
Executive oversight, compliance automation and risk strategy. Maps technical findings to LGPD, ISO 27001 and NIST CSF — and to the board’s risk language.
Fraud no longer enters through the system—it enters through the person.
The operator provides the brand and the customer base. We handle the operations.
Start with a external exposure assessment. We map what an attacker would see from outside — no commitment.
Automate detection
Anticipate Threats
Detect vulnerabilities
Respond to incidents
Reduce cyber risk
A traditional SOC waits for an alert. Mercurius starts from the attacker’s side: we continuously simulate how your organization is actually breached, then build detection and governance around what we find. That offensive-first loop is the difference between reacting to incidents and preventing them.
Pentest and Red Team findings drive what the SOC watches for — defense shaped by real adversary behavior.
Operations across Brazil, Chile and the US — regional threat context and regulatory fluency, not a generic global playbook.
Start with one capability — a pentest or assessment — and expand into managed AI SOC and governance as maturity grows.
The AI SOC layers on top of your existing SIEM, EDR and cloud — consolidating signal without ripping out your stack.
AI-driven analysis reduces mean time to detect from hours to minutes, cutting the attacker’s window dramatically.
Why it matters — industry data shows breaches contained faster cost materially less to resolve.
Continuous vulnerability management and attack surface monitoring ensures unknown assets can’t become breach vectors.
Automated playbooks and incident response capabilities minimize business disruption when incidents occur.
Executive dashboards translate technical findings into business risk language for informed strategic decisions.
Security only matters when it changes the numbers leadership cares about: time, exposure, disruption and confidence. Here’s what the platform is built to move.