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Beyond the front desk: What happens when AI meets your hotel tech stack?

Could recognise when someone who appears to have legitimate access to your business systems is not who they claim to be?

By Anthony Daniel

Hospitality operators have spent years connecting technology to make operations faster and the guest experience smoother. A reservation can move from a booking engine into the property management system, trigger a payment, update room availability, inform housekeeping and generate guest communications with little manual intervention.

That connectivity has elevated the guest experience, but it has also changed the cybersecurity equation. The question is no longer simply whether someone can break into a property’s network. Increasingly, it is whether an operator can recognise when someone who appears to have legitimate access is not who they claim to be.

AI is making that distinction harder.

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A valid login does not mean a valid user

Phishing and credential theft are hardly new, but AI has dramatically accelerated their speed and scale. Powered by AI, bad actors can instantly analyse public property data, generate hyper-personalised lures, and test thousands of compromised credentials across multiple booking channels in seconds. When cybercriminals possess a valid username and password, they don’t need to exploit a technical vulnerability, they simply log in.

ASD’s latest Annual Cyber Threat Report found that Australian small businesses reported an average loss of $56,600 per incident, with a cybercrime reported every six minutes. However, financial loss is only part of the damage. The average attack inflicts 21 days of operational downtime. For a resort, holiday park, or hotel relying on seasonal trade, three weeks offline during peak holiday periods can derail an entire year’s profitability.

Related AccomNews story: Cyber risk: Protecting your accommodation business

In April this year, Tasmanian hospitality group Goodstone found itself locked out of its own systems following a ransomware attack. A ransomware group had broken in, and published employee passport scans and bank reconciliation records online. As a regional operator, it reflects much of Australia’s accommodation sector and shows why smaller businesses are attractive targets.

For accommodation operators, the consequences extend well beyond the cost of recovery. A compromised booking system can disrupt reservations, expose guest information, delay check-ins and damage customer confidence. In an industry built on trust and reputation, even a short disruption can have consequences long after systems are restored.

The hidden risk inside connected systems

Consider what happens when an employee logs into a PMS. That single login can connect them to reservations, payments, guest profiles and channel managers, creating trusted pathways across multiple parts of the business.

One of the biggest challenges is that accommodation providers don’t always control every system connected to their business. A weakness in a third-party platform or an account belonging to an external supplier can become an entry point into the wider environment. Operators need to understand not just who has access to their systems, but how that access is managed, monitored and removed when no longer required.

Related AccomNews story: The next phase of AI in hospitality: What happens when every hotel system has AI?

WatchGuard’s Cybersecurity Hygiene Report found 76 percent of employees reuse passwords across multiple accounts, 30 percent share passwords, 64 percent use unapproved AI tools at work, and 71 percent receive phishing training once a year at most, or never.

When attackers use AI to exploit these everyday habits, a single valid login grants access to the heart of the tech stack. Once inside, an attacker can move from system to system, reaching guest data, payment terminals and room key encoders, often without setting off any alarms.

For property directors, the lesson is clear: a password alone no longer establishes trust. Operational security now depends on monitoring what an account does after it logs in.

What accommodation operators should do next

Defending an accommodation business against automated AI threats does not require an enterprise IT budget or a complex overhaul. Instead, operators should focus on four pragmatic shifts:

Monitor post-login behavior. A successful login should not automatically be treated as legitimate. Look for activity outside normal patterns, such as a front-desk account accessing financial data late at night or pulling far more data than a normal shift requires. AI-powered monitoring flags these anomalies quickly. Smaller properties can access this capability through an IT or Managed Security Service Provider (MSSP).

Map how guest data moves. Follow the guest journey: when a booking arrives, where does that data travel, which third-party systems touch it, and who holds permissions along the way? Revoking active accounts for past contractors and removing stale API connections immediately shrinks your attack surface.

Strengthen identity controls. Multi-Factor Authentication (MFA) must be enforced across property management systems, booking engines, payment platforms, and administrative accounts. Phase out shared front-desk logins in favor of individual, role-based accounts.

Set clear rules for AI and technology partners. As AI becomes part of everyday hotel operations, operators need visibility into which tools employees are using, what information is being shared and whether those applications have access to sensitive guest or business data. Clearly define which AI tools are approved and prohibit entering guest personal information or confidential business data into unapproved platforms. Apply the same scrutiny to technology partners by regularly reviewing their access and removing permissions that are no longer required.

Make trust visible

AI has not introduced a new category of threat to the accommodation industry, it has simply made existing weaknesses faster to exploit at scale. The priority is no longer simply keeping people out, it is understanding where trust exists across the business, limiting it to what is necessary and recognising when it is being misused.

Accommodation operators have become very good at connecting technology, people and guest journeys. The next security challenge is making sure those connections remain trustworthy. In an AI-enabled threat environment, the most dangerous activity may not look like an intrusion at all. It may look exactly like trusted access behaving just slightly differently.

 
 
Anthony Daniel is Managing Director, Australia, New Zealand and the Pacific Islands at WatchGuard Technologies
 

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