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May 25, 2021

How Autonomous Cyber AI Scaled to Protect Arrow McLaren SP

Darktrace's Cyber AI has seamlessly scaled, extended, and adapted to protect Arrow McLaren's Formula 1 and IndyCar teams from machine-speed cyberattacks.
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
Justin Fier
SVP, Red Team Operations
Written by
Nick Snyder
Performance Director, Arrow McLaren SP
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25
May 2021

It’s been decades since a racing team has had the ambition to compete at the highest level simultaneously in Formula 1 and in the NTT INDYCAR Series. And why would they? With hectic schedules, tight timelines, and the finest margins between victory and defeat, one series alone may seem a daunting enough feat. But to compete across both requires cross-continent collaboration, creativity, and innovation at every turn.

Rather than being daunted by the challenge, McLaren has embraced the unique advantages of racing in both series simultaneously. Arrow McLaren SP, in a strategic partnership with McLaren Racing, communicates on a daily basis with the McLaren Technology Centre in the UK, gathering and sharing data including car telemetry, on-board video and audio files, timing and scoring information, car set-ups, and reporting.

The security of this critical and highly sensitive data is paramount to the performance of AMSP, and after the success of Darktrace’s AI in protecting the cloud, email, and network environments of McLaren F1, AMSP recently announced they would be seamlessly extending the coverage to the US.

How adaptive, scalable AI drives success

Darktrace’s autonomous Cyber AI has protected the McLaren F1 team since early 2020, shielding their workforce and critical systems during a time of fundamental digital change, with conditions arising from COVID-19 forcing many employees to work from home. During this time the organization had a heightened reliance on cloud collaboration platforms, including video conferencing and file sharing.

Cyber AI technology adapted to these unforeseen changes, protecting the McLaren F1 team from novel and advanced attacks targeting their dynamic workforce. While traditional tools bound by set rules and playbooks had to be reconfigured, a self-learning approach allowed continuous protection of McLaren’s email systems, cloud services, and network traffic, with little maintenance required from busy human teams.

Now, the technology is being put to the test again. McLaren has extended Darktrace’s AI technology to protect the large volumes of sensitive data that travels back and forth between Arrow McLaren SP and the MTC.

Responding to machine-speed ransomware with Autonomous Response

As a wave of ransomware attacks brings fresh concerns to the cyber security industry, AMSP is turning to a technology fundamental to stopping these machine-speed attacks. With Autonomous Response, Darktrace not only detects emerging threats, but responds in real time, stopping attackers in their tracks without human teams having to lift a finger.

The response is surgical and proportionate: only the malicious activity is contained, whilst normal operations are allowed to continue. This will be a crucial capability for the AMSP team, as any unnecessary downtime severely undermines their ability to get access to the right data at the right time – ultimately having an impact on performance on race day.

With Darktrace’s autonomous Cyber AI protecting both its F1 and INDYCAR teams, McLaren’s human IT resources are augmented with real-time protection and Autonomous Response working across different time zones and providing that 24/7 overwatch they need.

Indianapolis 500: The toughest test yet

The month of May is a busy and critical period of the season for AMSP, with three races culminating in the 105th Running of the Indianapolis 500, which will be held in front of a reduced crowd of 135,000 spectators. The IT team has been busy preparing a temporary trackside data centre for this event, and the sheer volume of data circulating between that and the MTC is ramping up.

All of this data must be gathered, organized, and transferred securely back and forth between the two hubs. The speed of that transfer is absolutely vital, as speed of analysis and real-time decision-making is critical to race performance. AMSP’s engineering team and McLaren’s engineering team operate as if they’re sitting next to each other, despite being thousands of miles away.

Moreover, some data files can be extremely large, and reliable connectivity is key in ensuring that all files, no matter the size, can be transferred and downloaded as quickly as possible. Lack or loss of any data gathered trackside would prevent AMSP’s abilities to accurately recap on-track sessions.

This clearly represents an incredibly busy time for the security personnel on the ground both at Indianapolis and in the UK. Leaning on AI to facilitate the secure and reliable movement of highly sensitive data empowers AMSP’s IT team to stay proactive, rather than being reactive and playing catch up in the case of a security incident.

Facing the future with Cyber AI

AMSP is in a unique position in the INDYCAR paddock – no other team transmits so much data, so often or over so far of a distance. Darktrace’s Cyber AI technology is helping to protect AMSP’s at-track engineering crews, remote engineering teams, data transfer processes and cloud infrastructure, from an increasingly hostile cyber-threat landscape.

Relying on Darktrace to safeguard and protect its sensitive data and digital assets will become critical in securing AMSP’s overall approach to race weekend activation. As the collaboration between McLaren Racing and Arrow McLaren SP continues to drive success on the track, the targeted actions of Darktrace’s Autonomous Response capability ensures both sides of the technical partnership stay protected across different time zones, around the clock, no matter what threat is waiting round the corner.

Visit the McLaren hub

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
Justin Fier
SVP, Red Team Operations
Written by
Nick Snyder
Performance Director, Arrow McLaren SP

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April 28, 2026

State of AI Cybersecurity 2026: 87% of security professionals are seeing more AI-driven threats, but few feel ready to stop them

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The findings in this blog are taken from Darktrace’s annual State of AI Cybersecurity Report 2026.

In part 1 of this blog series, we explored how AI is remaking the attack surface, with new tools, models, agents — and vulnerabilities — popping up just about everywhere. Now embedded in workflows across the enterprise, and often with far-reaching access to sensitive data, AI systems are quickly becoming a favorite target of cyber threat actors.

Among bad actors, though, AI is more often used as a tool than a target. Nearly 62% of organizations  experienced a social engineering attack involving a deepfake, or an incident in which bad actors used AI-generated video or audio to try to trick a biometric authentication system, compared to 32% that reported an AI prompt injection attack.

In the hands of attackers, AI can do many things. It’s being used across the entire kill chain: to supercharge reconnaissance, personalize phishing, accelerate lateral movement, and automate data exfiltration. Evidence from Anthropic demonstrates that threat actors have harnessed AI to orchestrate an entire cyber espionage campaign from end to end, allegedly running it with minimal human involvement.

CISOs inhabit a world where these increasingly sophisticated attacks are ubiquitous. Naturally, combatting AI-powered threats is top of mind among security professionals, but many worry about whether their capabilities are up to the challenge.

AI-powered threats at scale: no longer hypothetical

AI-driven threats share signature characteristics. They operate at speed and scale. Automated tools can probe multiple attack paths, search for multiple vulnerabilities and send out a barrage of phishing emails, all within seconds. The ability to attack everywhere at once, at a pace that no human operator could sustain, is the hallmark of an AI-powered threat. AI-powered threats are also dynamic. They can adapt their behavior to spread across a network more efficiently or rewrite their own code to evade detection.

Security teams are seeing the signs that they’re fighting AI-powered threats at every stage of the kill chain, and the sophistication of these threats is testing their resolve and their resources.

  • 73% say that AI-powered cyber threats are having a significant impact on their organization
  • 92% agree that these threats are forcing them to upgrade their defenses
  • 87% agree that AI is significantly increasing the sophistication and success rate of malware
  • 87% say AI is significantly increasing the workload of their security operations team

These teams now confront a challenge unlike anything they’ve seen before in their careers, and the risks are compounding across workflows, tools, data, and identities. It’s no surprise that 66% of security professionals say their role is more stressful today than it was five years ago, or that 47% report feeling overwhelmed at work.

Up all night: Security professionals’ worry list is long

Traditional security methods were never built to handle the complexity and subtlety of AI-driven behavior. Working in the trenches, defenders have deep firsthand experience of how difficult it can be to detect and stop AI-assisted threats.

Increasingly effective social engineering attacks are among their top concerns. 50% of security leaders mentioned hyper-personalized phishing campaigns as one of their biggest worries, while 40% voiced apprehension about deepfake voice fraud. These concerns are legitimate: AI-generated phishing emails are increasingly tailored to individual organizations, business activities, or individuals. Gone are the telltale signs – like grammar or spelling mistakes – that once distinguished malicious communications. Notably, 33% of the malicious emails Darktrace observed in 2025 contained over 1,000 characters, indicating probable LLM usage.

Security leaders also worry about how bad actors can leverage AI to make attacks even faster and more dynamic. 45% listed automated vulnerability scanning and exploit chaining among their biggest concerns, while 40% mentioned adaptive malware.

Confidence is lacking

Protecting against AI demands capabilities that many organizations have not yet built. It requires interpreting new indicators, uncovering the subtle intent within interactions, and recognizing when AI behavior – human or machine – could be suspicious. Leaders know that their current tools aren’t prepared for this. Nearly half don’t feel confident in their ability to defend against AI-powered attacks.

We’ve asked participants in our survey about their confidence for the last three years now. In 2024, 60% said their organizations were not adequately prepared to defend against AI-driven threats. Last year, that percentage shrunk to 45%, a possible indicator that security programs were making progress. Since then, however, the progress has apparently stalled. 46% of security leaders now feel inadequately prepared to protect their organizations amidst the current threat landscape.

Some of these differences are accentuated across different cultures. Respondents in Japan are far less confident (77% say they are not adequately prepared) than respondents in Brazil (where only 21% don’t feel prepared).

Where security programs are falling short

It’s no longer the case that cybersecurity is overlooked or underfunded by executive leadership. Across industries, management recognizes that AI-powered threats are a growing problem, and insufficient budget is near the bottom of most CISO’s list of reasons that they struggle to defend against AI-powered threats.  

It’s the things that money can’t buy – experience, knowledge, and confidence – that are holding programs back. Near the top of the list of inhibitors that survey participants mention is “insufficient knowledge or use of AI-driven countermeasures.” As bad actors embrace AI technologies en masse, this challenge is coming into clearer focus: attack-centric security tools, which rely on static rules, signatures, and historical attack patterns, were never designed to handle the complexity and subtlety of AI-driven attacks. These challenges feel new to security teams, but they are the core problems Darktrace was built to solve.  

Our Self-Learning AI develops a deep understanding of what “normal” looks like for your organization –including unique traffic patterns, end user habits, application and device profiles – so that it can detect and stop novel, dynamic threats at the first encounter. By focusing on learning the business, rather than the attack, our AI can keep pace with AI-powered threats as they evolve.

Explore the full State of AI Cybersecurity 2026 report for deeper insights into how security leaders are responding to AI-driven risks.

Learn more about securing AI in your enterprise.

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Email

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April 24, 2026

Email-Borne Cyber Risk: A Core Challenge for the CISO in the Age of Volume and Sophistication

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The challenge for CISOs

Despite continuous advances in security technologies, humans continue to be exploited by attackers. Credential abuse and social actions like phishing are major factors, accounting for around 60% of all breaches. These attacks rely less on technical vulnerabilities and more on exploiting human behavior and organizational processes. 

From my perspective as a former CISO, protecting humans concentrates three of today’s most pressing challenges: the sheer volume of email-based threats, their increasing sophistication, and the limitations of traditional employee awareness programs in moving the needle on risk. 

My personal experience of security awareness training as a CISO

With over 20 years’ experience as an ICT and Cybersecurity leader across various international organizations, I’ve seen security awareness training (SAT) in many guises. And while the cyber landscape is evolving in every direction, the effectiveness of SAT is reaching a plateau.  

Most programs I’ve seen follow a familiar pattern. Training is delivered through a combination of eLearning modules and internal sessions designed to reinforce IT policies. Employees are typically required to complete a slide deck or video, followed by a multiple-choice quiz. Occasional phishing simulations are distributed throughout the year.

The content is often static and unpersonalized, based on known threats that may already be outdated. Every employee regardless of role or risk exposure receives the same training and the same simulated phishing templates, from front-desk staff to the CEO.

The problem with traditional SAT programs

The issue with the approach to SAT outlined above is that the distribution of power is imbalanced. Humans will always be fallible, particularly when faced with increasingly sophisticated attacks. Providing generic, low-context training risks creating false confidence rather than genuine resilience. Let’s look at some of the problems in detail.

Timing and delivery

Employees today operate under constant cognitive load, making lots of rapid decisions every day to reduce their email volumes. Yet if employees are completing training annually, or on an ad hoc basis, it becomes a standalone occurrence rather than a continuous habit.  

As a result, retention is low. Employees often forget the lessons within weeks, a phenomenon known as the ‘Ebbinghaus Forgetting Curve.’

The graph illustrates that when you first learn something, the information disappears at an exponential rate without retention. In fact, according to the curve, you forget 50% of all new information within a day, and 90% of all new information within a week.  

Simultaneously, most training is conducted within a separate interface. Because it takes place away from the actual moment of decision-making, the "teachable moment" is lost. There is a cognitive disconnect between the action (clicking a link in Outlook) and the education (watching a video in a browser). 

People

In the context of professional risk management, the risks faced by different users are different. Static learning such as everyone receiving the same ‘Password Reset’ email doesn’t help users prepare for the specific threats they are likely to face. It also contributes to user fatigue, driven by repetitive training. And if users receive tests at the same time, news spreads among colleagues, hurting the efficacy of the test.  

Staff turnover introduces further risk. In many organizations, new employees gain access to systems before receiving meaningful training, reducing onboarding to little more than policy acknowledgment.

Measuring success

In my experience, solutions are standalone, without any correlation to other tools in the security stack. In some cases, the programs are delivered by HR rather than the security team, creating a complete silo.  

As a result, SAT is often perceived as a compliance exercise rather than a capability building function. The result is that poor-quality training does little to reduce the likelihood of compromise, regardless of completion rates or quiz performance.

What a modern SAT solution should look like

For today’s CISO, email represents the convergence point of high-volume, high-impact, and human-centric threats. Despite significant security investments, it remains one of the most difficult channels to secure effectively. Given these constraints, CISOs must evolve their approach to SAT.

Success lies in a balanced strategy one that combines advanced technology, attack surface reduction, and pragmatic user enablement, without over-relying on human vigilance as the final line of defense.

This means moving beyond traditional SAT toward continuous, contextual awareness, realistic simulations, and tight integration with security outcomes.

Three requirements for a modern SAT solution

  • Invisible protection: The optimum security solution is one that assists users without impeding their experience. The objective is to enhance human capabilities, rather than simply delivering a lecture. 
  • Real-time feedback: Rather than a monthly quiz, the ideal system would provide a prompt or warning when a user is about to engage with something suspicious. 
  • Positive culture: Shifting the focus away from a "gotcha" culture, which is a contributing factor to a resentment, and instead empowers employees to serve as "sensors" for the company. 

Discover how personalized security coaching can strengthen your human layer and make your email defenses more resilient. Explore Darktrace / Adaptive Human Defense.

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About the author
Karim Benslimane
VP, Field CISO
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