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May 9, 2023

Breaking Down "ICES": An Umbrella Term With Wide Variety

Integrated Cloud Email Security (ICES) can be an effective email security solution, but Darktrace/Email's self-learning AI should be your solution of choice.
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
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09
May 2023

While organizing email security solutions into categories can help security teams understand the types of products available, it can also lead to generalizations that overlook important differences within those categories and can become like comparing apples to oranges.

This is true for the Integrated Cloud Email Security (ICES) category. Among the products that qualify, there are important variations in approach that can mean the difference between stopping a novel phishing attack on the first encounter and catching it as many as 13 days later.

These distinctions highlight that not all ICES products and not all AI tools are made equal, and it’s critical to look deeper than the “ICES” label when examining an email security solution. 

What is an ICES solution?

Gartner devised the term ICES in 2021 to describe an advanced email security that augments the native capabilities of email providers by using API access to analyze email content without requiring changing the MX record. 

In other words, ICES solutions integrate with an organization’s cloud email provider to filter out malicious emails.

ICES has risen in popularity as more and more organizations shift to cloud-based or hybrid email servers, and encounter new, more sophisticated threats. Organizations pair ICES with improved native capabilities of email providers. For example, in the 2023 Market Guide for Email Security, Gartner acknowledged that “Microsoft, in particular, continues to make significant investments in improving protection effectiveness and providing better configuration guidance.” 

Native capabilities can detect traditional indicators of compromise, while ICES products can detect nuanced attacks. They integrate directly with cloud-based email providers, meaning emails do not have to be rerouted for analysis, therefore reducing the time security teams would have to spend configuring and maintaining that connection or risking operational outage. 

ICES protects against sophisticated attacks

Before the rise of ICES, the mainstream email security solutions were Secure Email Gateways (SEGs), which can be characterized as tools that rely on historic data to create rules and signatures. This purely reactive approach cannot contend with the current email threat landscape, which includes attacks that abuse legitimate services, originate from compromised known senders, or are entirely novel. They also struggle to detect multi-stage attacks and insider threats

Instead, ICES products use natural language processing and natural language understanding to identify social engineering like business email compromises, spoofing, supply chain attacks, account takeovers, and more.  However, although ICES products can detect more sophisticated threats than SEGs, not all of them can stop entirely unknown attacks. 

Achieving bespoke security with AI that understands you

Even though several ICES products rely on machine learning to identify and stop malicious emails, not all AI is the same. Typically, other vendors’ AIs are trained on insights pulled from across their respective customer-bases and past attacks. However, this does not account for nuanced distinctions that arise from organizations’ sizes, industries, or even the individual employees working at each company. 

Instead, Darktrace understands you. Self-Learning AI™ focuses on the organization it is installed in, instead of generalizing across a wider pool. Darktrace even learns on a granular level, building profiles of every individual employee by analyzing behaviors like how they typically communicate, where and when they log in, the tone and sentiment of their emails, file and link sharing patterns, and hundreds of other signals. This level of specificity ensures that the email security is tailored to each specific organization. 

The ability to learn employee behavior allows Darktrace to detect what is not normal, therefore revealing sophisticated threats on the first encounter. It can detect all types of attacks, including BEC, account takeover, insider threat, compromised internal accounts, and even human error. 

But it’s the ability to stop novel attacks upon the first encounter that sets it apart. Darktrace/Email™ can detect novel email attacks an average of 13 days earlier than email security tools that are trained on knowledge of historical threats. 

Moreover, Darktrace can take precise action to respond to threats, beyond simply allowing or blocking a suspicious email. The AI makes micro-decisions to neutralize only the malicious components of emails. For example, it might flatten an attached PDF, rewrite a shared link, or file an email as junk. 

Darktrace/Email goes further than other ICES by considering the employee experience. With an employee-AI feedback loop, the AI can fine-tune security based on the employees while also providing inline security awareness training in real-time and with real-life examples. By engaging down to the employee level, Darktrace AI can even leverage personalized insights for productivity gains, sorting out graymail based on how each user prefers to interact with it. 

Putting the “I” in “ICES”

Many ICES vendors emphasize the “integrated” part of the acronym, however Darktrace excels at this. Since Darktrace can be installed anywhere a company has data, it can natively interact across the digital estate, saving the security team time and resources otherwise spent learning various dashboards and languages, correlating data across different areas, and manually monitoring daily activity. Darktrace/Email can also integrate with external tools, including SIEMs and SOARs, to further enhance workflows

Moreover, since combining ICES solutions with native security email capabilities creates a hardened security posture, Darktrace/Email benefits from its strong, established integration with Microsoft

Introducing flexibility to ICES deployments

Finally, the security and integration capabilities of Darktrace/Email deploy easily. In the 2023 Market Guide for Email Security, Gartner predicted that “by 2025, 20% of anti-phishing solutions will be delivered via API integration with the email platform, up from less than 5% today.” Darktrace/Email can be rolled out via API or API + Journaling in Microsoft 365, whichever better fits the organization’s needs.

While all ICES products are API-based, that does not mean they are AI-first, or are using the best AI approach. Even some SEGs can deploy via API. That means that the ability to deploy via API does not guarantee a level of security that can stop the most sophisticated threats. Security teams should look beyond deployment method and select the ICES and AI solutions that provide tailored, effective security. 

Finding nuance as an ICES solution

Email security continues to advance in tandem with the threat landscape and organizations’ digital infrastructures. ICES solutions are supplanting SEGs as the mainstream email security solutions, however that broad category includes a range of tools with varying applications of AI. These differences make it critical to not put all ICES products in the same basket. 

Darktrace/Email is the only ICES solution that uses Self-Learning AI to detect all types of email threats, including novel attacks, within seconds.

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

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January 6, 2026

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

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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.

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About the author
Kelland Goodin
Product Marketing Specialist

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December 22, 2025

The Year Ahead: AI Cybersecurity Trends to Watch in 2026

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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.  

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