Blog
/
Email
/
April 17, 2023

Boosting Security Posture with Email Integration

Protect your organization from cyber-attacks with a strong security strategy. Learn how to safeguard against threats targeting email, cloud apps, and beyond.
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
Dan Fein
VP, Product
Written by
Carlos Gray
Senior Product Marketing Manager, Email
Default blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog imageDefault blog image
17
Apr 2023

On its own, Darktrace/Email™ stops attacks before they reach an employee’s inbox and considers both security teams and the employees themselves. But its value extends beyond email security, increased by its ability to integrate with the wider security ecosystem, including both Darktrace products and external tools. 

Darktrace’s understanding of you and your organization can be applied anywhere your company has data. This unifying approach to cyber security feeds AI outputs into each other, from threat prevention to detection and response, in order to harden the entire security posture autonomously and continuously. The AI also enriches other security solutions an organization has in place by both ingesting and sharing data. This degree of integration transforms a security stack so that it is greater than the sum of its parts. 

Integrating Beyond Email to Enhance Detection and Response 

Integrating email security with other areas of the digital estate bolsters defenses, while reducing required resources. With more data, security teams gain a better understanding of the security stack and how attacks move through the system.

Traditional security solutions do this by either manually aggregating inputs from various tools or using a SIEM without native integrations to collate data. In contrast, Darktrace’s integration provides real-time intelligence communications between products to inform security teams. 

For example, context of network activity can provide more holistic email security. There’s a strong correlation between the websites users visit and the people that they email, which means information like web traffic provides insight into email threats, and vice versa. 

If an organization receives an email from a strange new sender, that happens to be have been sent from a domain nobody has ever visited, that added context could influence the aggression levels of actions taken. Integrations with endpoint security extends this type of informed decision-making to remote environments. These examples highlight the patented power of Darktrace/Network™ and Darktrace/Endpoint™ when paired with email coverage. 

Diagram depicting the flow of email activity generated by Darktrace Email Security tool.
Figure 2. Darktrace/Email works with Darktrace/Network and Darktrace/Endpoint to generate email insights from web traffic and vice versa. 

Email activity is tied to cloud/SaaS application account activity in an even more direct way. In the case of an account takeover, a suspicious Microsoft 365 login becomes even more suspicious if it is followed by highly unusual email activity, like new inbox rules being created. Too many email security solutions focus on the inbox alone, but viewing these areas in a single scope is critical for security teams wanting to understand the full timeline of an incident. 

To this end, Darktrace creates a 360-degree view of each user and their behavior. This comprehensive view goes beyond native security monitoring tools, allowing security teams to identify instances of data exfiltration, human error, misdirected emails, inappropriate link sharing, unusual log activity, and more. 

In one real-life example, the security team saw an attack from both an email and a SaaS perspective to quickly understand the whole picture, thanks to Darktrace/Email and Darktrace/Apps™. 

Darktrace customers are getting significant value from this integrated security stack. “The whole suite of products has given us 100% visibility across our whole ecosystem, which is fantastic. A lot of times we need to use many products to do that, and with the Darktrace products, I have that all in one,” commented a vice president of enterprise security and fraud management at a major credit union. 

Siloed solutions are a massive pain point in the cyber industry. Most companies have several, layered tools in their security stacks. When there is little to no communication between them, the security team must contend with an inflated workload and misses out on value. They must learn how to navigate several different dashboards, translate between languages and terms, and manually correlate data, in addition to monitoring all the solutions daily. This process makes maintaining security more difficult for the team, especially in a threat landscape with increasingly complex and fast-paced attacks. 

By sending and collecting information to and from other tools that the security team already uses, whether they are a part of Darktrace’s product stack or not, Darktrace/Email optimizes workflows so security teams can reallocate resources to larger, more strategic projects.  

Collaborating Across Email Security and Cyber Risk Management Tools

Syncing email protections with cyber risk management tools even further reduces risk and hardens security.

When emails are received from domain names associated with the brand of the client, an attack surface management tool can automatically analyze if those domains should be included as part of the attack surface scope or trigger malicious domain responses. 

In the other direction, when the attack surface management tool identifies malicious assets, like suspicious domains, spoofing sites, and typo squatters, it can inform email security decisions. With integrations between tools, these malicious assets automatically become watched domains with heightened sensitivity for inbound email. 

This integrated risk reduction can occur internally as well. When security teams look at cyber risk from an internal perspective, they may identify attack paths and high value targets within the company’s digital estate. By leveraging this understanding, Darktrace can determine which employees are critical components of potential attack paths. Once determined, the AI can test them by creating phishing simulations using details like real-life communication patterns and calendar data. These tests generate insights that feed back into Darktrace/Email to harden the environment, for example by heightening sensitivity. 

This demonstrates the benefits of combining Darktrace/Email and Darktrace PREVENT™. As part of the Cyber AI Loop, these connections between email security and cyber risk management are made easy for the security team to understand and act on. One customer noted how this integration had improved its security team’s workflow.  

“The more you use of Darktrace, the better it can correlate on your behalf,” said a Chief Information Officer at a construction company. “That’s why we’re all in with Darktrace now. We now have a holistic Darktrace footprint, which benefits us because we have more of the modules working on our behalf and not having to do the correlations separately or in isolation.” 

Supporting Compatibility with External Security Solutions

Darktrace/Email also works together with external tools. In addition to its mature integration with email providers like Microsoft 365 and Google Workspaces, Darktrace/Email has an open architecture that makes it immensely flexible. It is both API-driven and compatible with syslog, so it can integrate with any security tool and feed into any SIEM or SOAR. 

This unlimited capacity for integration allows Darktrace to detect and respond to threats more precisely with access to more data, as well as reduce the security team’s time-to-meaning by putting all relevant information in a single pane of glass. 

Darktrace/Email is also part of the Darktrace Mobile App, so security teams can view notifications, reports, and remediation actions at any time, even on the go. In this way, Darktrace not only fits into the greater security posture, but also with employees’ day-to-day workflow. 

Finally, Darktrace/Email supports data exports. These translate and share the data it collects within the email environment, allowing the security team to communicate key takeaways generated by Darktrace/Email to anyone within the organization. It can export directly to Microsoft Excel, or any other data analytics tool. This is especially useful for security teams as they work with other departments like IT, compliance, finance, and more. 

Integrations Add Value to the Darktrace Partnership

While Darktrace/Email is a powerful tool on its own, a major source of its value comes from its compatibility with the rest of Darktrace, other tools, people, and processes. 

Deploying multiple Darktrace products builds a robust security ecosystem that enhances detection while breaking down silos and improving workflows, therefore enabling the security team to take on higher-level and more strategic work. By integrating with external tools, Darktrace not only increases its own value but also maximizes the return on investment of other security solutions a team already has.  

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
Dan Fein
VP, Product
Written by
Carlos Gray
Senior Product Marketing Manager, Email

Blog

/

/

January 6, 2026

How a leading bank is prioritizing risk management to power a resilient future

Default blog imageDefault blog image

As one of the region’s most established financial institutions, this bank sits at the heart of its community’s economic life – powering everything from daily transactions to business growth and long-term wealth planning. Its blend of physical branches and advanced digital services gives customers the convenience they expect and the personal trust they rely on. But as the financial world becomes more interconnected and adversaries more sophisticated, safeguarding that trust requires more than traditional cybersecurity. It demands a resilient, forward-leaning approach that keeps pace with rising threats and tightening regulatory standards.

A complex risk landscape demands a new approach

The bank faced a challenge familiar across the financial sector: too many tools, not enough clarity. Vulnerability scans, pen tests, and risk reports all produced data, yet none worked together to show how exposures connected across systems or what they meant for day-to-day operations. Without a central platform to link and contextualize this data, teams struggled to see how individual findings translated into real exposure across the business.

  • Fragmented risk assessments: Cyber and operational risks were evaluated in silos, often duplicated across teams, and lacked the context needed to prioritize what truly mattered.
  • Limited executive visibility: Leadership struggled to gain a complete, real-time view of trends or progress, making risk ownership difficult to enforce.
  • Emerging compliance pressure: This gap also posed compliance challenges under the EU’s Digital Operational Resilience Act (DORA), which requires financial institutions to demonstrate continuous oversight, effective reporting, and the ability to withstand and recover from cyber and IT disruptions.
“The issue wasn’t the lack of data,” recalls the bank’s Chief Technology Officer. “The challenge was transforming that data into a unified, contextualized picture we could act on quickly and decisively.”

As the bank advanced its digital capabilities and embraced cloud services, its risk environment became more intricate. New pathways for exploitation emerged, human factors grew harder to quantify, and manual processes hindered timely decision-making. To maintain resilience, the security team sought a proactive, AI-powered platform that could consolidate exposures, deliver continuous insight, and ensure high-value risks were addressed before they escalated.

Choosing Darktrace to unlock proactive cyber resilience

To reclaim control over its fragmented risk landscape, the bank selected Darktrace / Proactive Exposure Management™ for cyber risk insight. The solution’s ability to consolidate scanner outputs, pen test results, CVE data, and operational context into one AI-powered view made it the clear choice. Darktrace delivered comprehensive visibility the team had long been missing.

By shifting from a reactive model to proactive security, the bank aimed to:

  • Improve resilience and compliance with DORA
  • Prioritize remediation efforts with greater accuracy
  • Eliminate duplicated work across teams
  • Provide leadership with a complete view of risk, updated continuously
  • Reduce the overall likelihood of attack or disruption

The CTO explains: “We needed a solution that didn’t just list vulnerabilities but showed us what mattered most for our business – how risks connected, how they could be exploited, and what actions would create the biggest reduction in exposure. Darktrace gave us that clarity.”

Targeting the risks that matter most

Darktrace / Proactive Exposure Management offered the bank a new level of visibility and control by continuously analyzing misconfigurations, critical attack paths, human communication patterns, and high-value assets. Its AI-driven risk scoring allowed the team to understand which vulnerabilities had meaningful business impact, not just which were technically severe.

Unifying exposure across architectures

Darktrace aggregates and contextualizes data from across the bank’s security stack, eliminating the need to manually compile or correlate findings. What once required hours of cross-team coordination now appears in a single, continuously updated dashboard.

Revealing an adversarial view of risk

The solution maps multi-stage, complex attack paths across network, cloud, identity systems, email environments, and endpoints – highlighting risks that traditional CVE lists overlook.

Identifying misconfigurations and controlling gaps

Using Self-Learning AI, Darktrace / Proactive Exposure Management spots misconfigurations and prioritizes them based on MITRE adversary techniques, business context, and the bank’s unique digital environment.

Enhancing red-team and pen test effectiveness

By directing testers to the highest-value targets, Darktrace removes guesswork and validates whether defenses hold up against realistic adversarial behavior.

Supporting DORA compliance

From continuous monitoring to executive-ready reporting, the solution provides the transparency and accountability the bank needs to demonstrate operational resilience frameworks.

Proactive security delivers tangible outcomes

Since deploying Darktrace / Proactive Exposure Management, the bank has significantly strengthened its cybersecurity posture while improving operational efficiency.

Greater insight, smarter prioritization, stronger defensee

Security teams are now saving more than four hours per week previously spent aggregating and analyzing risk data. With a unified view of their exposure, they can focus directly on remediation instead of manually correlating multiple reports.

Because risks are now prioritized based on business impact and real-time operational context, they no longer waste time on low-value tasks. Instead, critical issues are identified and resolved sooner, reducing potential windows for exploitation and strengthening the bank’s ongoing resilience against both known and emerging threats.

“Our goal was to move from reactive to proactive security,” the CTO says. “Darktrace didn’t just help us achieve that, it accelerated our roadmap. We now understand our environment with a level of clarity we simply didn’t have before.”

Leadership clarity and stronger governance

Executives and board stakeholders now receive clear, organization-wide visibility into the bank’s risk posture, supported by consistent reporting that highlights trends, progress, and areas requiring attention. This transparency has strengthened confidence in the bank’s cyber resilience and enabled leadership to take true ownership of risk across the institution.

Beyond improved visibility, the bank has also deepened its overall governance maturity. Continuous monitoring and structured oversight allow leaders to make faster, more informed decisions that strategically align security efforts with business priorities. With a more predictable understanding of exposure and risk movement over time, the organization can maintain operational continuity, demonstrate accountability, and adapt more effectively as regulatory expectations evolve.

Trading stress for control

With Darktrace, leaders now have the clarity and confidence they need to report to executives and regulators with accuracy. The ability to see organization-wide risk in context provides assurance that the right issues are being addressed at the right time. That clarity is also empowering security analysts who no longer shoulder the anxiety of wondering which risks matter most or whether something critical has slipped through the cracks. Instead, they’re working with focus and intention, redirecting hours of manual effort into strategic initiatives that strengthen the bank’s overall resilience.

Prioritizing risk to power a resilient future

For this leading financial institution, Darktrace / Proactive Exposure Management has become the foundation for a more unified, data-driven, and resilient cybersecurity program. With clearer, business-relevant priorities, stronger oversight, and measurable efficiency gains, the bank has strengthened its resilience and met demanding regulatory expectations without adding operational strain.

Most importantly, it shifted the bank’s security posture from a reactive stance to a proactive, continuous program. Giving teams the confidence and intelligence to anticipate threats and safeguard the people and services that depend on them.

Continue reading
About the author
Kelland Goodin
Product Marketing Specialist

Blog

/

/

December 22, 2025

The Year Ahead: AI Cybersecurity Trends to Watch in 2026

2026 cyber threat trendsDefault blog imageDefault blog image

Introduction: 2026 cyber trends

Each year, we ask some of our experts to step back from the day-to-day pace of incidents, vulnerabilities, and headlines to reflect on the forces reshaping the threat landscape. The goal is simple:  to identify and share the trends we believe will matter most in the year ahead, based on the real-world challenges our customers are facing, the technology and issues our R&D teams are exploring, and our observations of how both attackers and defenders are adapting.  

In 2025, we saw generative AI and early agentic systems moving from limited pilots into more widespread adoption across enterprises. Generative AI tools became embedded in SaaS products and enterprise workflows we rely on every day, AI agents gained more access to data and systems, and we saw glimpses of how threat actors can manipulate commercial AI models for attacks. At the same time, expanding cloud and SaaS ecosystems and the increasing use of automation continued to stretch traditional security assumptions.

Looking ahead to 2026, we’re already seeing the security of AI models, agents, and the identities that power them becoming a key point of tension – and opportunity -- for both attackers and defenders. Long-standing challenges and risks such as identity, trust, data integrity, and human decision-making will not disappear, but AI and automation will increase the speed and scale of the cyber risk.  

Here's what a few of our experts believe are the trends that will shape this next phase of cybersecurity, and the realities organizations should prepare for.  

Agentic AI is the next big insider risk

In 2026, organizations may experience their first large-scale security incidents driven by agentic AI behaving in unintended ways—not necessarily due to malicious intent, but because of how easily agents can be influenced. AI agents are designed to be helpful, lack judgment, and operate without understanding context or consequence. This makes them highly efficient—and highly pliable. Unlike human insiders, agentic systems do not need to be socially engineered, coerced, or bribed. They only need to be prompted creatively, misinterpret legitimate prompts, or be vulnerable to indirect prompt injection. Without strong controls around access, scope, and behavior, agents may over-share data, misroute communications, or take actions that introduce real business risk. Securing AI adoption will increasingly depend on treating agents as first-class identities—monitored, constrained, and evaluated based on behavior, not intent.

-- Nicole Carignan, SVP of Security & AI Strategy

Prompt Injection moves from theory to front-page breach

We’ll see the first major story of an indirect prompt injection attack against companies adopting AI either through an accessible chatbot or an agentic system ingesting a hidden prompt. In practice, this may result in unauthorized data exposure or unintended malicious behavior by AI systems, such as over-sharing information, misrouting communications, or acting outside their intended scope. Recent attention on this risk—particularly in the context of AI-powered browsers and additional safety layers being introduced to guide agent behavior—highlights a growing industry awareness of the challenge.  

-- Collin Chapleau, Senior Director of Security & AI Strategy

Humans are even more outpaced, but not broken

When it comes to cyber, people aren’t failing; the system is moving faster than they can. Attackers exploit the gap between human judgment and machine-speed operations. The rise of deepfakes and emotion-driven scams that we’ve seen in the last few years reduce our ability to spot the familiar human cues we’ve been taught to look out for. Fraud now spans social platforms, encrypted chat, and instant payments in minutes. Expecting humans to be the last line of defense is unrealistic.

Defense must assume human fallibility and design accordingly. Automated provenance checks, cryptographic signatures, and dual-channel verification should precede human judgment. Training still matters, but it cannot close the gap alone. In the year ahead, we need to see more of a focus on partnership: systems that absorb risk so humans make decisions in context, not under pressure.

-- Margaret Cunningham, VP of Security & AI Strategy

AI removes the attacker bottleneck—smaller organizations feel the impact

One factor that is currently preventing more companies from breaches is a bottleneck on the attacker side: there’s not enough human hacker capital. The number of human hands on a keyboard is a rate-determining factor in the threat landscape. Further advancements of AI and automation will continue to open that bottleneck. We are already seeing that. The ostrich approach of hoping that one’s own company is too obscure to be noticed by attackers will no longer work as attacker capacity increases.  

-- Max Heinemeyer, Global Field CISO

SaaS platforms become the preferred supply chain target

Attackers have learned a simple lesson: compromising SaaS platforms can have big payouts. As a result, we’ll see more targeting of commercial off-the-shelf SaaS providers, which are often highly trusted and deeply integrated into business environments. Some of these attacks may involve software with unfamiliar brand names, but their downstream impact will be significant. In 2026, expect more breaches where attackers leverage valid credentials, APIs, or misconfigurations to bypass traditional defenses entirely.

-- Nathaniel Jones, VP of Security & AI Strategy

Increased commercialization of generative AI and AI assistants in cyber attacks

One trend we’re watching closely for 2026 is the commercialization of AI-assisted cybercrime. For example, cybercrime prompt playbooks sold on the dark web—essentially copy-and-paste frameworks that show attackers how to misuse or jailbreak AI models. It’s an evolution of what we saw in 2025, where AI lowered the barrier to entry. In 2026, those techniques become productized, scalable, and much easier to reuse.  

-- Toby Lewis, Global Head of Threat Analysis

Conclusion

Taken together, these trends underscore that the core challenges of cybersecurity are not changing dramatically -- identity, trust, data, and human decision-making still sit at the core of most incidents. What is changing quickly is the environment in which these challenges play out. AI and automation are accelerating everything: how quickly attackers can scale, how widely risk is distributed, and how easily unintended behavior can create real impact. And as technology like cloud services and SaaS platforms become even more deeply integrated into businesses, the potential attack surface continues to expand.  

Predictions are not guarantees. But the patterns emerging today suggest that 2026 will be a year where securing AI becomes inseparable from securing the business itself. The organizations that prepare now—by understanding how AI is used, how it behaves, and how it can be misused—will be best positioned to adopt these technologies with confidence in the year ahead.

Learn more about how to secure AI adoption in the enterprise without compromise by registering to join our live launch webinar on February 3, 2026.  

Continue reading
About the author
The Darktrace Community
Your data. Our AI.
Elevate your network security with Darktrace AI