TL;DR: Online attacks rose 121% from Q1 to Q2 2023 as holiday traffic, automated abuse, phishing, and ransomware intensified across retail, travel, and financial services, according to Arkose Labs. The real lesson is that resilience now depends on treating bot pressure, compliance, and threat intelligence as connected governance problems, not separate controls.
Editorial analysis by NHI Mgmt Group, based on content published by Arkose Labs: “Are Holiday Cyberattacks Actually Helping Your Business?”.
By the numbers:
- Online attacks have surged by 121% from Q1 to Q2 2023.
Key questions
Q: What breaks when holiday traffic is mistaken for legitimate user demand?
A: Static thresholds, basic IP reputation checks, and simple rate limits become unreliable because attackers can hide inside normal seasonal volume.
Q: Why do bot surges increase fraud and ransomware risk at the same time?
A: Because automated abuse often serves as the first stage of broader compromise.
Q: What are the signs that bot management is failing during peak season?
A: Look for unusual signup velocity, repeated failed logins from distributed sources, suspicious session patterns, and spikes in support abuse or checkout anomalies.
Practitioner guidance
- Instrument behavioural bot detection Measure login, signup, checkout, and support interactions for patterns that distinguish human behaviour from scripted automation during seasonal spikes.
- Link fraud telemetry to identity controls Feed account takeover, credential stuffing, and scraping signals into IAM and fraud queues so suspicious sessions can be reviewed together.
- Tighten compliance mapping for peak-season data flows Review which personal and payment data paths expand during holiday periods and ensure the relevant regulatory controls are still operating at peak volume.
Bottom line: Holiday surges amplify automated abuse because attackers can hide inside normal customer traffic and exploit weak identity signals at scale.
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Holiday bot surges are not a web traffic problem first. They are a trust-assurance problem. When seasonal volume rises, organisations lose the luxury of assuming that high-frequency activity is benign. That shifts the control question from blocking volume to distinguishing legitimate identity behaviour from coordinated automation. For IAM, fraud, and customer security teams, the practical conclusion is that trust signals must be evaluated under noisy peak conditions, not only in calm periods.
A question worth separating out:
A: They should run them as one operational loop. Fraud teams need live abuse signals, compliance teams need evidence that controls still cover personal and payment data, and security teams need to adjust detections as tactics shift. The important part is shared escalation criteria, so a new bot pattern changes policy before it becomes a business incident.
👉 Read our full editorial: Holiday bot surges expose the limits of traditional cyber controls