ブログ
/
AI
/
December 3, 2025

Protecting the Experience: How a Global Hospitality Brand Stays Resilient

A global hospitality brand uses Darktrace AI for autonomous, preventative cybersecurity – protecting guest experience, reducing risk, and enabling secure, scalable venue expansion worldwide.
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
The Darktrace Community
Default blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog image
03
Dec 2025

For the Global Chief Technology Officer (CTO) of a leading experiential leisure provider, security is mission critical to protecting a business built on reputation, digital innovation, and guest experience. The company operates large-scale immersive venues across the UK and US, blending activity-driven hospitality with premium dining and vibrant spaces designed for hundreds of guests. With a lean, centrally managed IT team responsible for securing locations worldwide, the challenge is balancing robust cybersecurity with operational efficiency and customer experience.

Brand buzz attracts attention – and attacks

Mid-sized, fast-growing hospitality organizations face a unique risk profile. When systems go down in a venue, the impact is immediate: hundreds of disrupted guest experiences, lost revenue during peak hours, and potential long-term reputation damage. Each time the organization opened a new venue, the surge of marketing buzz attracted attention in local markets and waves of sophisticated cyberattacks, including:

Phishing campaigns leveraging brand momentum to lure employees into clicking on malicious links.

AI-enhanced impersonation using advanced techniques to create AI-generated video calls and deep-researched, contextualized emails  

Fake domains targeting leadership with AI-generated messages that contained insider context gleaned from public information.

“Our endpoint security and antivirus tools were powerless against these sophisticated AI-powered campaigns. We didn’t want to manage incidents anymore. We wanted to prevent them from ever happening.”  - Global CTO

Proactive, preventative security with Darktrace AI

The company’s cybersecurity vision was clear: “Proactive, preventative – that was our mandate,” said the CTO. With a lean and busy IT group, the business evaluated several security solutions using deep-dive workshops. Darktrace proved the best fit for supporting the organization’s proactive mindset, offering:

  • Autonomy without added headcount: Darktrace provided powerful AI-driven detection and autonomous response functions with minimal manual oversight required.
  • Modular adoption: The company could start with core email and network protection and expand into cloud and endpoint coverage, aligning spend with growth.
  • Partnership and responsiveness: “We wanted people we trust, respect, and know will show up when we need them. Darktrace did just that,” said the CTO.
  • Affordability at scale: Darktrace offered reasonable upfront costs plus predictable, sustainable economics as the company and IT infrastructure expanded.  

“The combination of AI capabilities, a scalable model, and a strong engagement team tipped the balance in Darktrace’s favor, and we have not been disappointed,” said the CTO.

Phased deployment builds trust

To minimize disruption to critical hospitality systems like global Point of Sales (POS) terminals and Audio-Visual (AV) infrastructure, deployment was phased:

  1. Observation and human-led response: Initially, Darktrace was deployed in detection-only mode. Alerts were manually reviewed.
  2. Incremental autonomous response: Darktrace Autonomous Response was enabled on select models, taking action on low-risk scenarios. Higher-risk subnets and devices remained under human control.
  3. Full autonomous coverage: With tuning and reinforcement, autonomous response was expanded across domains, trusted to take decisive action in real time. Analysts retained the ability to review and contextualize incidents.

“Darktrace managed the rollout through detailed, professional, and responsive project management – ensuring a smooth, successful adoption and creating a standardized cybersecurity playbook for future venue launches,” said the CTO.  

AI delivers the outcomes that matter  

Measurable efficiency replaces endless alerts

Darktrace autonomous response significantly decreased false alerts and noise. “If it’s quiet, we’re confident there isn’t a problem,” said the CTO. Within six months, Darktrace conducted 3,599 total investigations, detected and contained 320 incidents indicative of an attack, resolved 91% of those events autonomously, and escalated only 9% to human analysts. The efficiency gains were enormous, saving analysts 740 hours on investigations within a single month.  

Precision AI turns inbox chaos into calm

Darktrace Self-Learning AI modeled sender/recipient norms, content/linguistic baselines, and communication patterns unique to the organization’s launch cadence, resulting in:

  • Automated holds and neutralizations of anomalous executive-style messages
  • Rapid detection of novel templates and tone shifts that deviated from the organization’s lived email graph, even when indicators were not yet on any feed
  • Downstream reduction in help-desk escalations tied to suspicious email

Full visibility fuels real-time response

Darktrace gives IT direct visibility without extra licensing, and it surfaces ground truth across every venue, including:

  • Device geolocation and placement drift: Darktrace exposed devices and users operating outside approved zones, prompting new segmentation and access-control policies.
  • Guest Wi-Fi realities: Darktrace AI uncovered high-risk activity on guest networks, like crypto-mining and dark-web traffic, driving stricter VLAN separation and access hygiene.
  • Lateral-movement containment: Autonomous response fenced suspicious activity in real time, buying time for human investigation while keeping POS and AV systems unaffected.

Smarter endpoints for a smarter network

Endpoints once relied on static agents effective only against known signatures. Darktrace’s behavioral models now detect subtle anomalies at the endpoint process level that EDRs often miss, such as misuse of legitimate applications (commonly used in living-off-the-land attacks), unapproved application usage and policy violations. This increases the accuracy and fidelity of network-based investigations by adding endpoint process context alongside existing EDR alerts.

Autonomous response for continuous compliance

Across PCI, GDPR, and cross-border privacy obligations, Darktrace’s native evidencing is helping the team demonstrate control rather than merely assert it:

  • Asset and flow awareness: Knowing “what is where” and “who talks to what” underpins PCI scoping and data-flow diagrams.
  • Layered safeguards: Showing autonomous prevention, network segmentation, and rapid containment supports risk registers and control attestations.
  • Audit-ready artifacts: Investigations and autonomous actions produce artifacts that “tick the box” without additional tooling.  

Defining the next era of resilience with AI

With rapid global expansion underway, the company is using its cybersecurity playbook to streamline and secure future venue launches. In the near term, IT is focused on strengthening prevention, using Darktrace insights to guide new policy updates and infrastructure changes like imposing stricter guest-network posture and refining venue device baselines.

For tech leaders charting their path to proactive cyber defense, the CTO stresses success won’t come from sidestepping AI, but from turning it into a core capability.

“AI isn’t optional – it’s operational. The real risk to your business is trying to out-scale automated adversaries with human speed alone. When applied to the right use case, AI becomes a catalyst for efficiency, resilience, and business growth.” - Global CTO
Inside the SOC
Darktrace cyber analysts are world-class experts in threat intelligence, threat hunting and incident response, and provide 24/7 SOC support to thousands of Darktrace customers around the globe. Inside the SOC is exclusively authored by these experts, providing analysis of cyber incidents and threat trends, based on real-world experience in the field.
Written by
The Darktrace Community

More in this series

No items found.

Blog

/

Network

/

April 2, 2026

How Chinese-Nexus Cyber Operations Have Evolved – And What It Means For Cyber Risk and Resilience 

Default blog imageDefault blog image

Cybersecurity has traditionally organized risk around incidents, breaches, campaigns, and threat groups. Those elements still matter—but if we fixate on individual incidents, we risk missing the shaping of the entire ecosystem. Nation‑state–aligned operators are increasingly using cyber operations to establish long-term strategic leverage, not just to execute isolated attacks or short‑term objectives.  

Our latest research, Crimson Echo, shifts the lens accordingly. Instead of dissecting campaigns, malware families, or actor labels as discrete events, the threat research team analyzed Chinese‑nexus activity as a continuum of behaviors over time. That broader view reveals how these operators position themselves within environments: quietly, patiently, and persistently—often preparing the ground long before any recognizable “incident” occurs.  

How Chinese-nexus cyber threats have changed over time

Chinese-nexus cyber activity has evolved in four phases over the past two decades. This ranges from early, high-volume operations in the 1990s and early 2000s to more structured, strategically-aligned activity in the 2010s, and now toward highly adaptive, identity-centric intrusions.  

Today’s phase is defined by scale, operational restraint, and persistence. Attackers are establishing access, evaluating its strategic value, and maintaining it over time. This reflects a broader shift: cyber operations are increasingly integrated into long-term economic and geopolitical strategies. Access to digital environments, specifically those tied to critical national infrastructure, supply chains, and advanced technology, has become a form of strategic leverage for the long-term.  

How Darktrace analysts took a behavioral approach to a complex problem

One of the challenges in analyzing nation-state cyber activity is attribution. Traditional approaches often rely on tracking specific threat groups, malware families, or infrastructure. But these change constantly, and in the case of Chinese-nexus operations, they often overlap.

Crimson Echo is the result of a retrospective analysis of three years of anomalous activity observed across the Darktrace fleet between July 2022 and September 2025. Using behavioral detection, threat hunting, open-source intelligence, and a structured attribution framework (the Darktrace Cybersecurity Attribution Framework), the team identified dozens of medium- to high-confidence cases and analyzed them for recurring operational patterns.  

This long-horizon, behavior-centric approach allows Darktrace to identify consistent patterns in how intrusions unfold, reinforcing that behavioral patterns that matter.  

What the data shows

Several clear trends emerged from the analysis:

  • Targeting is concentrated in strategically important sectors. Across the dataset, 88% of intrusions occurred in organizations classified as critical infrastructure, including transportation, critical manufacturing, telecommunications, government, healthcare, and Information Technology (IT) services.  
  • Strategically important Western economies are a primary focus. The US alone accounted for 22.5% of observed cases, and when combined with major European economies including Germany, Italy, Spain and the UK, over half of all intrusions (55%) were concentrated in these regions.  
  • Nearly 63% of intrusions of intrusions began with the exploitation of internet-facing systems, reinforcing the continued risk posed by externally exposed infrastructure.  

Two models of cyber operations

Across the dataset, Chinese-nexus activity followed two operational models.  

The first is best described as “smash and grab.” These are short-horizon intrusions optimized for speed. Attackers move quickly – often exfiltrating data within 48 hours – and prioritize scale over stealth. The median duration of these compromises is around 10 days. It’s clear they are willing to risk detection for short-term gain.  

The second is “low and slow.” These operations were less prevalent in the dataset, but potentially more consequential. Here, attackers prioritize persistence, establishing durable access through identity systems and legitimate administrative tools, so they can maintain access undetected for months or even years. In one notable case, the actor had fully compromised the environment and established persistence, only to resurface in the environment more than 600 days after. The operational pause underscores both the depth of the intrusion and the actor’s long‑term strategic intent. This suggests that cyber access is a strategic asset to preserve and leverage over time, and we observed these attacks most often inin sectors of the high strategic importance.  

It’s important to note that the same operational ecosystem can employ both models concurrently, selecting the appropriate model based on target value, urgency, intended access. The observation of a “smash and grab” model should not be solely interpreted as a failure of tradecraft, but instead an operational choice likely aligned with objectives. Where “low and slow” operations are optimized for patience, smash and grab is optimized for speed; both seemingly are deliberate operational choices, not necessarily indicators of capability.  

Rethinking cyber risk

For many organizations, cyber risk is still framed as a series of discrete events. Something happens, it is detected and contained, and the organization moves on. But persistent access, particularly in deeply interconnected environments that span cloud, identity-based SaaS and agentic systems, and complex supply chain networks, creates a major ongoing exposure risk. Even in the absence of disruption or data theft, that access can provide insight into operations, dependencies, and strategic decision-making. Cyber risk increasingly resembles long-term competitive intelligence.  

This has impact beyond the Security Operations Center. Organizations need to shift how they think about governance, visibility, and resilience, and treat cyber exposure as a structural business risk instead of an incident response challenge.  

What comes next

The goal of this research is to provide a clearer understanding of how these operations work, so defenders can recognize them earlier and respond more effectively. That includes shifting from tracking indicators to understanding behaviors, treating identity providers as critical infrastructure risks, expanding supplier oversight, investing in rapid containment capabilities, and more.  

Learn more about the findings of Darktrace’s latest research, Crimson Echo: Understanding Chinese-nexus Cyber Operations Through Behavioral Analysis, by downloading the full report and summaries for business leaders, CISOs, and SOC analysts here.  

Continue reading
About the author
Nathaniel Jones
VP, Security & AI Strategy, Field CISO

Blog

/

Proactive Security

/

April 1, 2026

AI-powered security for a rapidly growing grocery enterprise

Default blog imageDefault blog image

Protecting a complex, fast-growing retail organization

For this multi-banner grocery holding organization, cybersecurity is considered an essential business enabler, protecting operations, growth, and customer trust. The organization’s lean IT team manages a highly distributed environment spanning corporate offices, 100+ stores, distribution centers and  thousands of endpoints, users, and third-party connections.

Mergers and acquisitions fueled rapid growth, but they also introduced escalating complexity that constrained visibility into users, endpoints, and security risks inherited across acquired environments.

Closing critical visibility gaps with limited resources

Enterprise-wide visibility is a top priority for the organization, says the  Vice President of Information Technology. “We needed insights beyond the perimeter into how users and devices were behaving across the organization.”

A security breach that occurred before the current IT leadership joined the company reinforced the urgency and elevated cybersecurity to an executive-level priority with a focus on protecting customer trust. The goal was to build a multi-layered security model that could deliver autonomous, enterprise-wide protection without adding headcount.

Managing cyber risk in M&A

Mergers and acquisitions are central to the grocery holding company’s growth strategy. But each transaction introduces new cyber risk, including inherited network architectures, inconsistent tooling, excessive privileges, and remnants of prior security incidents that were never fully remediated.

“Our M&A targets range from small chains with a single IT person and limited cyber tools to large chains with more developed IT teams, toolsets and instrumentation,” explains the VP of IT. “We needed a fast, repeatable, and reliable way to assess cyber risk before transactions closed.”

AI-driven security built for scale, speed, and resilience

Rather than layering additional point tools onto an already complex environment, the retailer adopted the Darktrace ActiveAI Security Platform™ in 2020 as part of a broader modernization effort to improve resilience, close visibility gaps, and establish a security foundation that could scale with growth.

“Darktrace’s AI-driven approach provided the ideal solution to these challenges,” shares the VP of IT. “It has empowered our organization to maintain a robust security strategy, ensuring the protection of our network and the smooth operation of our business.”

Enterprise-wide visibility into traffic  

By monitoring both north-south and east-west traffic and applying Self-Learning AI, Darktrace develops a dynamic understanding of how users and devices normally behave across locations, roles, and systems.

“Modeling normal behavior across the environment enables us to quickly spot behavior that doesn’t fit. Even subtle changes that could signal a threat but appear legitimate at first glance,” explains the VP of IT.

Real-time threat containment, 24/7

Adopting autonomous response has created operational breathing room for the security team, says the company’s Cybersecurity  Engineer.

“Early on, we enabled full Darktrace autonomous mode and we continue to do so today,” shares the IT Security Architect. “Allowing the technology to act first gives us the time we need to investigate incidents during business hours without putting the business at risk.”

Unified, actionable view of security ecosystem

The grocery retailer integrated Darktrace with its existing security ecosystem of firewalls, vulnerability management tools, and endpoint detection and response, and the VP of IT described the adoption process as “exceptionally smooth.”

The team can correlate enterprise-wide security data for a unified and actionable picture of all activity and risk. Using this “single pane of glass” approach, the retailer trains Level 1 and Level 2 operations staff to assist with investigations and user follow-ups, effectively extending the reach of the security function without expanding headcount.

From reactive defense to security at scale

With Darktrace delivering continuous visibility, autonomous containment, and integrated security workflows, the organization has strengthened its cybersecurity posture while improving operational efficiency. The result is a security model that not only reduces risk, but also supports growth, resilience, and informed decision-making at the business level.

Faster detection, faster resolution

With autonomous detection and response, the retailer can immediately contain risk while analysts investigate and validate activity. With this approach, the company can maintain continuous protection even outside business hours and reduce the chance of lateral spread across systems or locations.

Enterprise-grade protection with a lean team

From cloud environments to clients to SaaS collaboration tools, Darktrace provides holistic autonomous AI defense, processing petabytes of the organization’s network traffic and investigating millions of individual events that could be indicative of a wider incident.

Today, Darktrace autonomously conducts the majority of all investigations on behalf of the IT team, escalating only a tiny fraction for analyst review. The impact has been profound, freeing analysts from endless alerts and hours of triage so they can focus on more valuable, proactive, and gratifying work.

“From an operational perspective, Darktrace gives us time back,” says the Cybersecurity Engineer. More importantly, says the VP of IT, “it gives us peace of mind that we’re protected even if we’re not actively monitoring every alert.”

A strategic input for M&A decision-making

One of the most strategic outcomes has been the role of cybersecurity on M&A. 90 days prior to closing a transaction, the security team uses Darktrace alongside other tools to perform a cyber risk assessment of the potential acquisition. “Our approach with Darktrace has consistently identified gaps and exposed risks,” says the VP of IT, including:

  • Remnants of previous incidents that were never fully remediated
  • Network configurations with direct internet exposure
  • Excessive administrative privileges in Active Directory or on critical hosts

While security findings may not alter deal timelines, the VP of IT says they can have enormous business implications. “With early visibility into these risks, we can reduce exposure to inherited cyber threats, strengthen our position during negotiations, and establish clear remediation requirements.”

A security strategy built to evolve with the business

As the holding group expands its cloud footprint, it will extend Darktrace protections into Azure, applying the same AI-driven visibility and autonomous response to cloud workloads. The VP of IT says Darktrace's evolving capabilities will be instrumental in addressing the organization’s future cybersecurity needs and ability to adapt to the dynamic nature of cloud security.

“With Darktrace’s AI-driven approach, we have moved beyond reactive defense, establishing a resilient security foundation for confident expansion and modernization.”

Continue reading
About the author
あなたのデータ × DarktraceのAI
唯一無二のDarktrace AIで、ネットワークセキュリティを次の次元へ