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How a Digital Asset Firm Closed an Attack Chain in Two Days — After Living With It for Days

See how a fintech firm used Secure.com to detect a week-long breach, collapse attack paths, and harden cloud infrastructure in just two days.

Executive Summary

A fintech and blockchain firm operating in the digital asset custody and transaction services space. Their production environment runs in the cloud and supports live exchange operations, custody wallets, and transaction signing infrastructure. Their customers trust them with high-value digital assets — which means their infrastructure is a high-value target.

The Challenge: A Security Stack Without an Operating Layer

Before Secure.com, the company ran security the way most mid-market fintechs do — a patchwork of tools with gaps in between. The tools worked. The connections between them did not.

That fragmentation created structural weaknesses that made them a soft target:

  • No unified observability. Cloud, identity, and workload signals lived in separate tools. Nothing correlated them in one place.
  • Production compute exposed directly to the internet. EC2 instances ran outside firewall boundaries. The team had no current inventory of which assets were publicly reachable.
  • Object storage left public. Sensitive data stores had open access policies. There was no way to know what was exposed, or who was reading it.
  • No attack path visibility. If an attacker landed anywhere in the environment, there was no map of where they could go next — or what they could reach.
  • Implicit trust in whitelisted infrastructure. Once a machine was approved, it was assumed safe. No continuous verification of what was actually running on it.

The root cause was not a single missing control. It was the absence of a system that could see all of it together.

The Impact: A Breach That Lived Inside For Weeks

The predictable happened. A compromised component in the deployment pipeline led to a backdoor on a whitelisted production machine. From that foothold, the attacker moved laterally through the environment, eavesdropped on exposed storage, and eventually used acquired credentials to execute unauthorized transactions on the company's exchange.

The activity was not detected for weeks. By the time the team discovered it, the attacker had:

Established persistence inside trusted infrastructure

Pulled data from publicly exposed storage

Executed transactions through compromised paths

Forced the company to take core infrastructure offline to investigate and contain

The financial and reputational stakes were significant. More importantly, the team realized the same structural gaps would allow it to happen again — unless the way they ran security fundamentally changed.

How Secure.com Solved the Challenge

The company did not need another tool. They needed to regain operational visibility and decision-making speed — immediately. Secure.com was deployed during an active incident response.

Here is what the first 48 hours looked like.

Hours 0–4: Integrated and Observable

Secure.com's Integration Platform connected to the company's cloud environment, identity provider, and existing security tooling without ripping anything out.

Within hours, the Asset Register had built a live map of the environment — every asset, every identity, every relationship between them — with business context and CIA classification applied. That map is not an inventory spreadsheet. It is the context graph that every downstream decision in Secure.com runs against.

For the first time, the team could see what they actually owned.

Hours 4–24: The Hidden Attack Surface Surfaced

With the context graph in place, the team ran a single query through the Cloud Security Teammate:

Show me every EC2 instance that is publicly exposed and sitting outside the firewall.

The answer came back instantly — with owners, severity, and blast radius. The same happened for object storage. Every public bucket was flagged, along with what it contained and which identities had accessed it recently.

In parallel, the SOC Teammate began Threat Signal Correlation across the environment — identity events, cloud control-plane activity, and workload telemetry — all joined through the shared context graph and mapped to MITRE ATT&CK. Anomalous behavior that had previously been invisible now had a name, an owner, a path, and a timeline.

This is what the platform is built to do: turn a fragmented set of signals into one coherent picture, fast. In practice, that translates into 70% faster detection and 75% faster triage — not as abstract benchmarks, but as the reason three weeks of invisibility became a few hours of clarity.

Day 1: Three Critical Cases, Fully Scoped

The platform did not produce a list of ten thousand findings. That would have been another version of the same problem.

Instead, the Risk Register correlated vulnerabilities, misconfigurations, identity risks, and asset criticality into three prioritized cases — each tied to real business impact:

  1. Publicly exposed production infrastructure creating direct ingress paths to sensitive workloads.
  2. Lateral movement paths from exposed compute to custody-adjacent data stores.
  3. Compromised credential and identity patterns tied to the unauthorized transaction activity.

The Attack Path Visualization module showed, visually, how a single foothold could traverse the environment to a crown jewel. Risk stopped being a score in isolation and became a chain the team could see — and break.

Day 2: Hardened and Live Again

With cases prioritized, Workflow Automation and Orchestration executed remediation under governed execution — approval gates on high-impact changes, audit trails on every action, and a named authorizer for every decision.

Within two days:

  • Publicly exposed compute was inventoried and placed behind appropriate network controls.
  • Public storage buckets were remediated and access patterns logged.
  • Compromised identities were rotated. Suspicious access was revoked.
  • The environment was rebuilt on a hardened baseline, with continuous drift detection now in place.
  • No unresolved attack paths to critical assets remained.

The company went live on a materially stronger posture than the one they had been breached on.

What Changed Structurally

The breach was contained. That matters. But the more important outcome is what changed about how this company runs security now.

From tools to an operating layer. Security signals, asset context, risk, and remediation now live in one system instead of five disconnected consoles.

From reaction to prevention. The Risk Register continuously correlates new findings against business impact. Attack paths close before attackers can use them.

From point-in-time scans to continuous hardening. The Cloud Security Teammate watches for configuration drift in real time. Misconfigurations get caught and fixed — not discovered in post-mortems.

From ungoverned automation to auditable action. Every action the platform takes is logged, approved where required, and traceable to a named authorizer. The company can answer for what ran, who authorized it, and why.

From opaque infrastructure to a queryable environment. The team can ask the platform questions in plain language — which assets are publicly exposed, who owns them, what do they connect to — and get grounded answers tied to real entities, not guesses.

Why This Mattered

Most security stacks would have buried this team in findings. They did not need more findings. They needed to know the three things that would close the attack chain — and act on them fast, without creating new risk in the process.

That is the difference between a collection of tools and an operating layer. Secure.com gave the team the decision-making speed they were missing when the breach happened, and the governed execution to act on those decisions safely.

The breach was the catalyst. The platform is what made sure the next one never gets that far.

At a Glance

Metric
Before Secure.com
With Secure.com
Time to detect the attack
Weeks
Minutes
View of the attack surface
Fragmented across tools
Single, queryable context graph
Risk prioritization
Manual and reactive
3 correlated, business-aware cases
Time to harden the environment
Project-length effort
Two days
Remediation governance
Ad hoc
Approval gates, audit trails, named authorizers
Posture over time
Drifted silently
Continuously monitored, auto-flagged

See how Secure.com can close attack chains in days, not weeks with one operating layer for cloud, identity, and risk

Disclaimer:
Client identity and sensitive details have been anonymized for confidentiality and security reasons.