For crypto exchanges, wallets, and payment fintechs, the cost of a missed on-chain signal is not a remediation ticket — it’s an irreversible transaction.
Cryptojacking, Runtime Abuse & Cloud Workload Protection
THE CHALLENGE
Cryptomining malware in cloud environments is rarely the actual objective — it’s the visible symptom of a breach class that’s far more dangerous than the mining itself. An adversary who can deploy a miner has already achieved code execution and likely has persistence; they’re monetising your compute while deciding what to do next. The mining traffic shows up as a CPU or egress spike, gets labelled a “noisy workload,” and gets snoozed by whoever is on call with no way of knowing it’s the opening move, not the whole attack. Container escapes, unexpected DaemonSets, and anomalous syscall patterns are the signals that actually matter, but without runtime-specific detection they sit buried under generic cloud monitoring noise until someone outside the team finds the real breach, weeks later.
THE RESULT
Cloud Workload Protection Platform (CWPP) controls solve the detection-latency problem directly. Instead of waiting for a downstream symptom: an odd database query, a fund movement, a customer complaint, teams get runtime visibility into what is actually executing inside every container and pod, with behavioural detection tuned to catch escapes and persistence mechanisms at the moment they happen. Runtime protection isn’t a nice-to-have for Web3 and fintech workloads; for many teams, it’s the last control plane standing before customer funds are at risk.
PREVENT
BEFORE EXECUTION
- Image allow-lists & drift prevention block unverified containers before they ever run
- Policy-as-code gates stop privileged pods and host-path mounts at deploy time
- Hardened baseline configuration removes the misconfigurations cryptojacking campaigns target first
DETECT
AT RUNTIME
- Behavioural runtime detection flags anomalous syscalls, container escapes & cgroup manipulation as they happen
- CPU/egress spikes correlated against known mining-pool infrastructure — not treated as generic performance noise
- Anomalous outbound DNS & cloud API calls surfaced and enriched with threat-intel context
CONTAIN
AFTER DETECTION
- Automated quarantine for known malicious behaviour patterns — no manual triage required
- Findings enriched and tied back to the workload owner & deployment pipeline
- Mean-time-to-contain tracked per incident, fed into your existing SIEM / Security Hub
HOW AEROWAVE HELPS
Most cryptojacking incidents don’t get missed because nobody owned a CWPP licence. They get missed because runtime detection rules were left generic, alert thresholds were never tuned to the workload, and nobody owned the “noisy workload” queue. When a payments infrastructure client found a miner running in what their dashboard called a low-risk internal namespace, Aerowave scoped the actual exposure first – host access, lateral-movement paths, what else that pod could reach — before tuning a single detection rule. The miner was removed within hours. The escalation path and tuned ruleset that came out of that engagement are still catching attempts today.
That’s how we work. We bring runtime protection into conversations where the existing alerting has outpaced anyone’s ability to triage it — and we stay in the room until findings don’t just surface, they get contained.
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