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April 14, 2020

How Changing Online Habits Have Created New Email Attacks

New email behaviors such as increased subscriptions and remote presentation tools have given rise to a new wave of email cyber-attacks. Learn more here.
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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.
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14
Apr 2020

For several weeks now, we’ve seen how cyber-criminals have used the ongoing global health crisis as a ‘fearware’ topic to mount and spread their attacks. But as more and more of the world’s population works from home, and as consumption of digital content subsequently increases, hackers are finding novel ways to exploit the full range of human emotions through sophisticated email attacks.

From attackers creating ‘digital fake’ campaigns that offer ‘advice’ for those self-isolating, to threat-actors masquerading behind trusted websites to launch malware, the last few weeks have demonstrated how quickly cyber-criminals can adapt their techniques in the email realm. This blog presents four ways hackers are changing their tactics in light of current trends and changing behaviors, and how security teams can react to defend against these developments.

Increased subscription

With a marked increase in digital subscription to entertainment sites and news sources, it should come as no surprise that spammers and hackers have doubled down on using fake newsletter subscriptions in their email attacks.

For security tools such as gateways and inboxes that look at the historic mail-flow, a new email subscription to a newsletter can look very much like any other – especially when the email passes all existing security tests and verifications. A brand new campaign or domain may not have been identified as malicious yet, and thus is allowed into the recipient’s inbox.

Analyzing emails within the broader business context gives a full understanding of the circumstances in which it was received. This requires looking beyond the inbox and considering the user’s ‘pattern of life’ across all touchpoints across the digital ecosystem. In the case of benign subscription emails, a user will have recently visited the domain of the sender and requested the email newsletter. There is an action ahead of receiving the email – requesting it.

Drawing insights from both email traffic and the user’s wider ‘pattern of life’ across the digital business, AI can tell the difference between an email newsletter that has and has not been requested. This simple act alone can help security teams understand when a user has voluntarily signed up for a newsletter versus when they have been targeted by a malicious attack, enabling them to respond appropriately.

Rapid adoption of remote presentation sites

As remote working sees a rapid rise, there has been a sharp increase in the number of people using presentation creation sites. Darktrace has recently picked up on a large number of attacks in which these trusted sites have been exploited to openly host malicious links. Malicious payloads are embedded within presentations, which are then shared in emails that go undetected by gateway tools.

Figure 1: Canva and Infogram, two presentation sites leveraged in this latest string of attacks

Several indicators suggest that this activity originates from a single, well-organized threat-actor or group, including the rotational targeting of presentation sites (Canva, Infogram, Axel, Piktochart, and Sway), the highly-focused nature of the attack type (taking place within the space of two weeks), and the consistent nature of these emails. These emails were seen across a large number of deployments, which appeared to utilize a strikingly similar fake eFax notification format.

Worryingly, the emails appear to display none of the typical ‘trademark’ identifiers often seen for phishing emails, such as spoofed or impersonated email addresses or suspicious link strings. For this reason, they go undetected by products such as Microsoft’s spam and phishing tools. As such, they are currently being delivered to recipients’ inboxes without any alteration or addition of safety features.

This activity appears to represent a significant and currently unrecognized external threat. Whilst the novel nature of the activity allowed it to easily bypass legacy tools, a more nuanced understanding of the human behind the email address allowed Darktrace’s AI to uniquely identify this series of emails as highly threatening. The technology recognized that the links and domains were highly unusual, not only in the context of the recipients’ normal behavior, but the ‘pattern of life’ of their peer group and the organization at large.

An unprecedented convergence of personal and professional

While IT and compliance teams are having to find ways to keep digital environments secure in remote working conditions, users are also changing their own behavior – not only in terms of devices and tools accessed, but also in what content and files are consumed and interacted with. This convergence of the personal and the professional, and the resulting expansion in the attack surface, presents a new set of challenges to security teams. Compromised email credentials and hijacked accounts become even harder to spot.

Securing these environments requires technology that can adapt to the new way of working, without having to explicitly reconfigure or re-write the rules. Digital activity has changed overnight, and will only continue to change – security tools that cannot adapt and grow with that change will fast become redundant. By continuously learning and evolving its understanding of every user and device, AI is being relied upon to protect workers, especially as we now shift our behavior to use more cloud-based communication and collaboration tools.

Adaptive AI-powered attacks

A recent Forrester report found that over half of security professionals expect AI-augmented cyber-attacks to be made evident to the public within the next twelve months. One way this is likely to manifest itself is with the automation of well-crafted spear phishing campaigns.

As attackers use AI to better understand the type of content that each user interacts with, along with the prevalent emotions that drive each individual user, malware or malicious links can be masked in content that is highly targeted to specific users. Individuals who are actively seeking information on particular topics, or are more likely to share and forward light-hearted, humorous content may be targeted more frequently or aggressively.

Using AI to study the target, hackers can leverage insights at a speed and scale never seen before. With sophisticated domain spoofing, indiscriminate writing styles, and carefully hidden malicious links, human analysts and traditional security tools alike will stand little chance.

To prepare for this next wave of attacks, security teams themselves are relying on AI that analyzes emails in light of behaviors across email platforms and the organization at large. Rather than analyzing emails in isolation and at a single point in time, Cyber AI correlates insights over time, and continuously revisits emails many thousands of times as new evidence emerges.

While traditional defenses ask whether elements of an email have been observed in historical attacks, Antigena Email is the only solution that can reliably ask whether it would be unusual for a recipient to interact with a given email in the context of their normal ‘pattern of life’, as well as that of their peers and the wider organization. This contextual knowledge allows the AI to make highly accurate decisions and neutralize the full range of email attacks – from ‘clean’ spoofing emails that seek to wire a fraudulent payment to sophisticated spear phishing attempts.

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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.
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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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May 28, 2026

From Efficiency to Exposure: How AI Adoption Is Creating Unseen Vulnerabilities on the Factory Floor

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How AI agents impact the manufacturing industry

Security teams and IT personnel across the manufacturing industry are under constant pressure to protect production, maintain uptime, and safeguard critical assets but the rise of AI is bringing huge new opportunities alongside new cyber risks. Across manufacturing, AI is embedded into workflows, decision-making, and increasingly, autonomous AI agents are acting on behalf of employees and systems.  

Agentic systems are powerful because they can act independently, but that same autonomy also creates cyber and operational risk. Agents have extensive permissions and are capable of carrying out complex tasks, making decisions, and interacting with tools or external systems with little to no human intervention.

Unlike traditional AI models that perform predefined tasks, AI agents use advanced techniques to mimic human decision-making processes, dynamically adapting to new challenges, making decision and taking action based on their own judgement. They look like employees operationally but lack judgment, ethics, or fear of consequences like humans do. This means they can be easily manipulated by cybercriminals, and an AI agent embedded across an OT network creates threats that extend well beyond data exposure. For example, at BMW, AI identifies faults in welding processes as they occur. At its Spartanburg plant, AI monitors the weld of 300-400 metal studs onto every SUV frame to detect misplaced or faulty studs and correct them instantly. Corruption of BMW’s AI system could lead to catastrophic quality control errors.

Adopting agentic AI systems across manufacturing raises some concerns across security teams. New data from our State of AI Cybersecurity survey shows that 78% of manufacturing security professionals are worried about employee use of AI agents – their top concern. That’s followed by employee use of generative AI tools like CoPilot and ChatGPT, a worry for 76% of security professionals at manufacturing organizations. As these tools gain more access to business data and processes, and more autonomy within organizations, security teams, who today have minimal visibility of agent activity in their environments, increasingly have sensitive data exposure (a worry for 60%) and accidental policy and regulatory violations (59%) on their minds.

External AI-powered threats are evolving just as quickly

The same capabilities transforming manufacturing are also reshaping cyberattacks.

AI is enabling attackers to automate reconnaissance, refine targeting, and adapt in real time. What once required time and manual effort can now be executed continuously and at scale. Manufacturers are already seeing the impact. According to manufacturing security professionals we surveyed, 76% are already being impacted by AI-powered threats and 90% see AI increasing the success of social engineering attacks.

And the techniques themselves are evolving. Concerns across the manufacturing sector show growing anxiety about the range of AI-powered attack routes, most pressingly of adaptive malware that evolves in real-time – a prospect half (49%) of manufacturing security professionals we surveyed are worried by, a full 9% more than the average across industries. AI adaptive malware is followed by:

  • Automated vulnerability scanning and exploit chaining (48%) which has become even more pressing as Anthropic’s new Mythos AI Model supercharges vulnerability discovery
  • Hyper-personalized phishing campaigns (46%), which remain a mainstay in hackers’ arsenals, and AI has amplified their effectiveness by making phishing emails more convincing and harder to detect.

This is not just an increase in volume, it is a shift toward threats that evolve as they unfold - often faster than static defenses can respond.

Despite rising awareness, many manufacturers are not yet equipped to manage this shift. More than half (51%) say they are not adequately prepared for AI-driven threats, and only 37% have formal policies governing AI deployment.  

Securing AI through visibility, context, and guardrails

Addressing this challenge does not require manufacturers to slow innovation. It requires a different approach to security, one that can operate at the same speed and scale as AI. Three specific priorities are emerging for manufacturers looking to take advantage of the power of AI.

Visibility is foundational.  

Organizations need to understand where AI is being used, what it can access, and how it behaves across both IT and OT environments. Without that, risk cannot be measured or managed. It is no surprise that Darktrace’s research found that 91% of manufacturing security professionals said that they need to understand how AI makes decisions before trusting it. This is even more critical in operational settings where disruption has safety, environmental, financial, and reputational impacts.

Context is what turns visibility into action.  

In environments shaped by AI, normal behavior is constantly shifting. Detecting threats requires a behavioral approach; understanding patterns of life across the organization and identifying subtle deviations in real time – a step change in organizations’ traditional approach to security and risk management.

Guardrails ensure that agency does not become exposure  

As AI systems take on greater responsibility, organizations need clear boundaries around what they can do and when they can act independently. These controls must be embedded into systems themselves, not applied after the fact.  

Securing AI Agents Across Manufacturing IT and OT

The rise of agentic AI is transforming manufacturing - powering next-generation operations while reshaping the security landscape. This is not just an increase in threats, but a shift to autonomous systems, continuously evolving behaviors, and risks moving at machine speed. For organizations trying to grapple with the challenge of enabling AI while managing the risk, visibility, context and guardrails should be foundational.

Darktrace helps manufacturers build secure AI approaches by making those foundations possible. It provides visibility and real-time detection and response to unusual activity across IT and OT environments and allows organizations to understand AI activity from the prompts employees use and the agents they build to how those agents are behaving across the environment. For manufacturers scaling AI, this delivers a foundation for innovation without sacrificing control.

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About the author
Oakley Cox
Director of Product
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