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February 25, 2020

Darktrace's AI Analyst: Closing the Cyber Skills Gap

Discover how Darktrace's AI Analyst is bridging the cyber skills gap for OT, enhancing security and efficiency.
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
David Masson
VP, Field CISO
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25
Feb 2020

Security analysts investigate threats by finding patterns, forming hypotheses, reaching conclusions, and sharing their findings with the rest of the business. These are labor-intensive steps that take not only time, but years of training and expertise. And as operational technology (OT) becomes further integrated with the corporate network, and as threat-actors continue to advance their methods of attack, the emergence of a cyber security skills gap in the OT world becomes more and more evident.

The trend towards interconnected IT and OT environments is matched in equal measure by converging security teams. CISOs have assumed responsibility for the security of ICS environments without necessarily possessing specialized OT skills. Similarly, OT engineers are often handed security roles involving IT without sufficient training. As a result, a knowledge gap is emerging, with organizations struggling to find experts with the necessary skills in both operational technology and traditional IT.

However, developments in artificial intelligence are being leveraged to fill this skills shortage, and technology exists today that can stitch together related security events across OT and IT into a single incident — generating a meaningful, natural-language summary of the suspicious activity.

Darktrace’s Cyber AI Analyst for OT combines the skill of human expertise with the speed and scale of AI, empowering it to conduct expert investigations into hundreds of parallel threads simultaneously. This groundbreaking technology is the result of over 3 years of research and development at Darktrace’s R&D Center in Cambridge, UK — harnessing supervised machine learning to replicate the actions of expert OT and IT analysts. Every time a security alert is triggered, Cyber AI Analyst automatically pulls together a full incident report, drawing upon multiple related alerts and useful surrounding context to complete the picture.

Cyber AI Analyst for OT has domain knowledge from both OT and IT “baked in” to ensure that it can do a lot of the interpretation. An IT SOC can receive the specialized and detailed OT information relating to an incident, but also the higher-level abstractions and meaning to help them triage. Equally, OT engineers can, for example, be presented with a complete timeline of a zero-day ransomware infection as it emerges, without needing to know how to investigate file-sharing activity or command and control beaconing. Cyber AI Analyst for OT therefore not only saves security teams crucial time, but bridges the skills gap that increasingly widens as OT and IT environments continue to converge.

Investigating a ‘Triton 2.0’ attack

Cyber AI Analyst presents its findings in Darktrace’s graphical user interface, the Threat Visualizer. We can view an example of this by looking at a Triton-style cyber-attack captured within a customer environment.

Figure 1: Three models are breached by a desktop device

The threat tray above shows three individual alerts pertaining to a particular device — expdev127.scada.local, a desktop belonging to a domain administrator. Working in real time in the background, Cyber AI Analyst for OT now stitches together these multiple alerts into a single security incident, and then surfaces this incident in a high-level narrative, displaying all stages of the attack lifecycle on a single timeline.

Figure 2: The Threat Visualizer surfaces a timeline of the suspicious events

We can see that over the span of three hours, Darktrace identified a suspicious file download, possible command and control traffic, and a chain of administrative connections it deemed worthy of investigation. The Threat Visualizer then surfaced this series of suspicious connections, showing how the malware penetrated from the upper parts of the control system through to a workstation that can interact with PLCs.

Figure 3: A graphical representation of the RDP communication

Since the initial compromise infected a domain administrator’s desktop, the primary ‘hop’ of remote desktop to the local domain controller illustrated here is not unusual at all — the usage of legitimate administrative RDP credentials is commonplace from this device. However, as the incident unfolds, Cyber AI Analyst subsequently recognizes that this is related to more suspicious events, and is able to go back and include these events in a single narrative.

The malware then makes a second hop — also via RDP — to an engineering workstation and finally reprograms a related PLC, all the while retaining the remote access chain. As with the Triton attack that targeted various power plants in 2017, this attack relied on commonplace administration sessions to transfer tools, and for remote command/program execution. The Threat Visualizer shows us the destination port, as well as the application protocol used to deliver the final stage of the attack.

Figure 4: Further details of the reprogramming

Cyber AI Analyst converts the initial alerts into this incident report in real time, and the security team enter the fray armed with a much clearer and broader description of the incident, far sooner than if they had needed to perform these steps themselves. In this case, Cyber AI Analyst eventually includes seven alerts of different suspicious activities within this one incident, as well as multiple details that did not create alerts themselves but are strongly related and could have been omitted by an inexperienced analyst.

The near future of ICS attacks

Cyber-attacks on ICS are continuously evolving, with adversaries using the latest open-source technologies to launch evasive and machine-speed campaigns globally. While many organizations are turning to AI to face the scale, complexity, and speed of the cyber-threats they face in their IT and OT environments, we can also expect that these threat-actors will also start to use AI to achieve their objectives.

The threat-actors behind Triton blended mainstream IT attack techniques with specialized OT payloads and backed both up with strong operational discipline. The future addition of AI into such malware will allow it to achieve more inside a target network without persistent human oversight — and therefore dramatically decrease its chances of detection.

By combining both IT and OT analyst domain knowledge whilst operating at machine speed with a computer’s unwavering attention to detail, Cyber AI Analyst for OT will prove crucial for security teams by saving them vital time and filling in for any gaps in domain knowledge.

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
David Masson
VP, Field CISO

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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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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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