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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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June 2, 2026

Stopping Stealth Attacks with Precision: How Núclea Prevented a Breach Without Disruption

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Núclea is a Brazilian data and technology company that supports the country’s financial system by delivering digital services exclusively to banks and financial institutions. Operating in an environment where trust, availability, and data integrity are critical, the company faces a threat landscape that has evolved rapidly—particularly with the rise of AI-driven cyberattacks.

Brazil has experienced a wave of successful cyber incidents targeting financial institutions, many of them enabled by insiders or compromised credentials. The result was a noticeable shift in attacker strategy: instead of focusing on end customers, threat actors began targeting the institutions and platforms that underpin the financial ecosystem itself.

“Attacks became far more directed and contextual,” explains Guilherme, who leads incident response within Núclea’s security platform engineering team. “They weren’t noisy or obviously malicious—they were precise, patient, and designed to blend into normal operations.”

That precision was on full display in January 2026, when Núclea faced one of the most convincing phishing attacks the team had seen.

A real attack, built on trust and context

The attack began with a seemingly routine email.

It was sent from a real Brazilian government institution, using legitimate infrastructure and valid credentials that were later confirmed to have been compromised. Núclea had an established, ongoing relationship with this organization, and the email’s language, tone, and subject matter aligned perfectly with the type of communication the recipient team handled every day.

Attached to the email was a PDF document containing content that looked entirely legitimate.

The problem? A single URL embedded inside that PDF.

“The message itself was correct. The sender was real. The context was familiar. Even the document content made sense,” Guilherme explains. “There was just one small element that didn’t belong.”

That small detail was enough to initiate a full attack chain.

What the attackers were trying to do

If clicked, the URL would have downloaded a malicious payload designed to:

  • Collect information about the user and device
  • Identify where the system was located within the financial ecosystem
  • Install remote access tools to maintain control
  • Deploy an infostealer to extract sensitive data
  • Execute anti-forensic scripts to erase traces of the intrusion

In other words, it was a carefully engineered operation designed for persistence and stealth, not immediate disruption.

The attack also employed urgency—a classic social engineering technique. When the link didn’t open as expected, employees requested assistance from the security team, insisting the document was important and needed to be accessed quickly.

This is precisely the kind of scenario where traditional security tools struggle: almost everything about the interaction is legitimate.

Where Darktrace made the difference

Instead of blocking the entire message or relying on known indicators of compromise, Darktrace focused on behavioral context.

Darktrace recognized:

  • That the sending organization was normally trusted
  • That the communication pattern matched historical behavior
  • That the PDF content itself was not suspicious

But it also identified that the URL embedded within the document deviated from established behavioral patterns.

Rather than disrupting business operations, Darktrace took precise action: it rewrote the URL, preventing the malicious download while leaving the rest of the email untouched.

“When we analyzed it afterward, it became clear how dangerous the attack would have been,” says Guilherme. “But it never progressed—because Darktrace acted at exactly the right point.”

Subsequent forensic analysis confirmed the payload’s malicious intent. The attack never succeeded.

Precision over disruption

For Núclea, this incident reinforced a critical lesson: modern attacks don’t always look malicious—they hide within normal activity.

“What stands out to me is the precision,” Guilherme says. “Darktrace doesn’t rely on big, obvious signals. It’s effective in situations that fall outside the standard patterns we all know.”

Building resilience in a high trust ecosystem

For Núclea, cybersecurity is not just a defensive measure—it’s a business enabler.

Availability failures or successful breaches in the financial ecosystem can have immediate, large-scale consequences, from financial loss to reputational damage. Preventing those outcomes protects not just Núclea, but its partners and customers as well.

“Cyber resilience means keeping the business running—even under attack,” Guilherme explains. “And that requires people, processes, and technology working together.”

As AI continues to accelerate both attacks and defenses, the role of security is evolving. Precision, behavioral understanding, and intelligent automation are no longer optional—they’re essential.

“The easy days were yesterday,” Guilherme says. “The challenges ahead are bigger. We need to be prepared—internally and with partners that help us build resilience.”

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About the author
Mariana Pereira
VP, Field CISO

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June 1, 2026

Defend What You Trust: Stories from the Front Lines of Modern Cyber Defense

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Modern attacks don’t always announce themselves, follow obvious patterns, or rely on known malware. Often, they move quietly inside trusted systems, authenticated sessions, and everyday behavior.

They don’t break in. They blend in.

That’s why an AI-powered defense is essential. It turns invisible signals into actionable insights at a scale neither analysts nor traditional tools can achieve alone.

Confidence is creating risk

One of the most dangerous assumptions in cybersecurity today is that strong controls equal strong protection.

Multi-factor authentication (MFA), for example, is widely viewed as a foundational safeguard. But as the CISO for a professional sports organization explains, that confidence can be misplaced. “A lot of organizations assume that once you have MFA, those accounts are safe. That’s not true.”

In one instance, his team identified a sophisticated attack where a threat actor bypassed MFA entirely, not by breaking it, but by going around it. A user’s authenticated session was hijacked and re-used, allowing the attacker to impersonate them without triggering traditional controls.

“Darktrace picked up that a session had been re-injected by the hacker, and we were able to block it right away,” he explains.

Attackers anticipate what we miss

Even well-trained users can become entry points.

“An email bypassed our existing security tools,” shares the VP of IT at a U.S.-based risk management services provider.  “The user missed one signal and entered their credentials into a malicious site. That’s what the bad guys count on.”

The organization responded quickly, but not before damage was done. Crucially, this occurred while Darktrace was in “watch mode,” before autonomous response was fully enabled. “Darktrace would have seen that and shut it down immediately,” he notes.

Mistakes and oversights like misconfigurations, forgotten machines, and missed patches can create serious vulnerabilities.

The CIO of a utility services organization shares an instance when Darktrace detected a breach to a client’s network via their ZTNA VPN due to misconfigured MFA. “Darktrace alerted us and autonomously blocked the scanning, preventing what could have been a ransomware-type incident.”  

The most dangerous threats are already inside

The Head of Security at a global business services provider knows firsthand how blind spots can persist inside environments. His team uncovered evidence of dormant ransomware artifacts sitting unnoticed within a company’s environment ¬¬– long before modern detection was in place.

“During a routine file transfer, Darktrace flagged the suspicious activity, identified the ransomware, and immediately quarantined the server,” he recalls.  While the attack was never executed, the implication was significant: the risk existed long before it was finally detected.

Cyber threats are also successful because they take advantage of normal human behavior, exploiting moments of cognitive overload, urgency, and trust.

The Executive Director of IT and Business Applications at a pharmaceutical lab describes the time Darktrace flagged an employee logging into Microsoft 365 from Singapore, despite him being physically located in the U.S. Darktrace immediately cut off his access and within minutes revealed that the employee’s son was using a VPN to play a video game.

While the threat was benign, it demonstrated the strength of AI to use contextual information to detect threats other tools miss. The information also saved security analysts hours of investigation and minimized downtime for the employee. “That level of precision and speed isn’t just convenient, it’s game changing.”

“Unusual” behavior is the new red flag

Detecting modern threats requires an understanding of what “normal” looks like and recognizing when something subtly deviates.

One security leader  at an AI technology enterprise described a scenario in which an employee connected to a proxy service in China. The service itself was legitimate, and although traditional tools didn’t flag it, the behavior was unusual for that user specifically.

“That’s what Darktrace picked up on. The activity turned out to be benign, but without visibility into behavioral deviations, it could just as easily have been something more serious.”

AI shifts defense from reaction to anticipation

These stories point to a fundamental shift by cyber attackers, both tactically and strategically. Because traditional security tools were built to detect what’s already known, modern attacks are often:

  • Credential-based, not malware-based
  • Behavioral, not signature-based
  • Subtle, not overt

They may operate within the boundaries of what appears normal, exploiting what organizations trust, not what they block:

  • Trusted sessions
  • Legitimate services
  • Human error

This is where AI is changing the equation. Rather than relying on predefined rules or known threat signatures, AI can:

  • Establish a baseline of normal behavior
  • Detect subtle anomalies in real time
  • Act autonomously to contain potential threats

Resilience, not perfection, is the new security standard

As these frontline experiences show, the organizations that lead are those that move beyond reactive defense and embrace AI as a core part of their strategy.

It eliminates the blind spots and uncertainty, says the CISO of a professional sports organization. “If you lack visibility, you’re not managing risk, you’re assuming it. AI gives you the actionable insights needed to turn uncertainty into control.”

And it provides the speed and agility that are vital when seconds matter, says the Executive Director of IT and Business Applications. “When Darktrace alerted us at 3:00 am to a ransomware attack, it had already quarantined the affected systems, blocked the attacker’s access, and provided us with the critical details and time needed to investigate. That action likely saved us hundreds of thousands, if not millions, of dollars.”

The modern SOC has become a cornerstone of enterprise resilience, responsible for protecting data and operational continuity while enabling digital growth and innovation. For today’s security professional, that means success is no longer measured by what they keep out, but by what they protect: revenue, reputation, and trust.

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