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April 9, 2024

Moving Beyond XDR to Achieve True Cyber Resilience with Darktrace ActiveAI Security Platform

Announcing the new Darktrace ActiveAI Security Platform designed to transform security operations. This approach gives security teams unprecedented visibility across any area where Darktrace is deployed, including cloud, email, network, endpoints, and operational technology (OT).
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
Mitchell Bezzina
VP, Product and Solutions Marketing
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09
Apr 2024

Evolving Threats Need Comprehensive Security

Attacker innovations have drastically increased the velocity, sophistication, and success of cyber security attacks, as seen with multi-domain and multi-stage attacks that are now widely used in adversary methodology.

When it comes to defense, traditional cyber security point solutions cannot keep up. They have a depth of intelligence in a specific domain but rely on existing attack data to detect threats. This allows the known to be stopped, but the uncertainty in identifying unknown threats creates an alert deluge. Security teams are then required to build processes to triage alerts, and manually combine data through APIs, integrations and rules – just to correlate incidents across multiple IT domains.

Traditional eXtended Detection and Response (XDR) rose to aid security teams, and while they are able to stitch together suspicious events from network, endpoint, and cloud, they still lack adequate domain coverage in areas such as email – where the majority of initial infection occurs – require human validation, prioritization, and triage, and ultimately remain reactive in nature.

Security teams are at a breaking point, with too many alerts, too little time, and fragmented support from a bloated vendor stack. Simply put, most organizations lack the human resources needed to maintain cyber resilience.

Introducing the Darktrace ActiveAI Security Platform

Darktrace ActiveAI Security was designed to transform security operations to a proactive state. Its AI trains on an organization’s specific business and IT information, learning the day-to-day normal operations, not yesterday's threat intelligence.

This approach gives security teams unprecedented visibility across any area where Darktrace is deployed, including cloud, email, network, endpoints, identities, and operational technology (OT). With this understanding of the business, the AI can detect and respond to known and unknown threats with precision, even those threats never seen before.

Darktrace’s proactive and incident response tools help your team get ahead of security gaps and potential process risk by understanding your internal and external threat surfaces and identifying where preparedness can be improved.

A unique and patented investigative AI, called Cyber AI Analyst, operates across the platform to augment human teams with automation and efficiency gains, performing continuous investigations of prevalent alerts to redefine the SecOps workflow and help security analysts arrive at decisions quickly.  An extensive range of services aid customer resources in getting the most out of the Darktrace ActiveAI Security Platform.

Figure 1: Powered by a self-learning AI that understands your unique business, the Darktrace ActiveAI Security Platform provides coverage across the entire enterprise. Cyber AI Analyst, our investigative AI, investigates relevant alerts helping human security teams triage and prioritize all relevant alerts, even those from 3rd party security tools, to transform security operations.

Security operations and the incident lifecycle

SOC teams have three general areas of focus, and each can be supported by Darktrace ActiveAI Security

1. The benefits of being proactive

Darktrace ActiveAI Security helps teams become proactive by identifying and closing gaps before they are exploited. This reduces the impact and cost of attacks.  

The platform achieves this by looking at each organization to understand potential human and machine entry points for an attacker. In an upcoming update, our technology will also include firewall rule analysis for more precise attack path modeling.

The AI considers its findings with local business and IT context to identify the most risky and impactful devices, identities, and vulnerabilities, so teams can prioritize what to patch first.

Additionally, Darktrace ActiveAI Security boosts proactivity with incident readiness, supporting each organization’s people, processes, and technology with training simulations, dynamic playbooks, and readiness reports.

2. Complete visibility of known and novel threats

Darktrace ActiveAI Security Platform drives efficiencies during the active incident phase, saving time and effort while providing comprehensive and tailored protection. It applies context from enterprise data, ingested from both native sources (email, cloud, operational technology, endpoints, identity, applications, and networks) and external sources (third-party security tools and intelligence) to detect known, novel, and unknown threats.

Other security vendors aggregate and generalize data across their customers, treating threat detection with a big data approach. They extract intelligence, write new rules and signatures, and train their supervised machine running in the cloud. Only after that do they distribute new detections based on the changes in the threat landscape. That leaves a window of opportunity for attackers. For example, when Log4J struck, most vendors needed precious time to catch up and defend against it

Contrast that to Darktrace’s approach to detection. Our AI continuously trains on each organization’s unique business data, allowing it to function beyond known attacks in the threat landscape. Therefore, our AI can defend organizations even against attacks that have never been seen before because it focuses on each customer’s data instead of trying to win this big data problem.

While our AI has always been able to surface threats without needing to decrypt traffic, because it can surface anomalies in the characteristics of the overall communication, an upcoming update will soon make decryption possible for deeper forensic analysis.

This also leads to massive efficiency wins. For example, self-regulation and detection accuracy. If our AI keeps seeing certain types of anomalies in an environment, and if those are part of a legitimate business process, the AI will autonomously start lowering the alert severity, therefore reducing the burden on security teams to fine-tune detection and alerting.

3. AI-led investigation and response

Darktrace ActiveAI Security Platform helps teams triage, investigate, and respond to accelerate response time and reduce disruption.

Traditional security stacks use a lot of raw data combined with threat intelligence, like rules and signatures and supervised detections. The results are then put together and presented to the human team, who still needs to triage, understand, and investigate the situation.

Darktrace customers natively ingest raw data, apply anomaly detection and business learning, then build chains of generic anomalies which could include threat intelligence of third-party alerts. Those are then continuously investigated by our Cyber AI Analyst and put forward for human verification and actioning of next steps if they are deemed critical. This simplifies the triage process to save investigation time.

An upcoming feature for the Cyber AI Analyst allows teams to customize how it investigates each threat type, such as configuring what type of hypotheses are being run – giving teams more control. The result is a complete transformation of the triage process, where every relevant alert is investigated for the security team, those critical are prioritized for action, others await secondary investigation, or allow analysts to proactively review security gaps to stop future attacks of the same attack paths.

Last but not least, we help drive efficiencies by automating threat response with behavioral containment. That means our AI can identify and stop unusual behavior that indicates a threat while still allowing normal benign business activity to continue, all without the security team’s having to predefine every conceivable reaction.

Conclusion

Darktrace ActiveAI Security is a native, holistic, AI-driven platform built on over ten years of AI research. It helps security teams shift to more a productive mode, finding known and unknown attacks and transforming the SOC to drive efficiency gains. It does this across the whole incident lifecycle to lower risk, reduce time spent on active incidents, and drive return on investment.

For more information on the Darktrace Platform, download the solution brief here.

Join over 9,000 customers who have started their journey to the Darktrace ActiveAI Security Platform by selecting one of our leading cybersecurity solutions in Email Security, Network Detection and Response, Cloud Native Application Protection, and OT Security.

Discover more about our ever-strengthening platform with the upcoming changes coming to Darktrace/Email and Darktrace/OT.

Learn about the intersection of cyber and AI by downloading the State of AI Cyber Security 2024 report to discover global findings that may surprise you, insights from security leaders, and recommendations for addressing today’s top challenges that you may face, too.

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
Mitchell Bezzina
VP, Product and Solutions Marketing

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October 24, 2025

Patch Smarter, Not Harder: Now Empowering Security Teams with Business-Aligned Threat Context Agents

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Most risk management programs remain anchored in enumeration: scanning every asset, cataloging every CVE, and drowning in lists that rarely translate into action. Despite expensive scanners, annual pen tests, and countless spreadsheets, prioritization still falters at two critical points.

Context gaps at the device level: It’s hard to know which vulnerabilities actually matter to your business given existing privileges, what software it runs, and what controls already reduce risk.

Business translation: Even when the technical priority is clear, justifying effort and spend in financial terms—especially across many affected devices—can delay action. Especially if it means halting other areas of the business that directly generate revenue.

The result is familiar: alert fatigue, “too many highs,” and remediation that trails behind the threat landscape. Darktrace / Proactive Exposure Management addresses this by pairing precise, endpoint‑level context with clear, financial insight so teams can prioritize confidently and mobilize faster.

A powerful combination: No-Telemetry Endpoint Agent + Cost-Benefit Analysis

Darktrace / Proactive Exposure Management now uniquely combines technical precision with business clarity in a single workflow.  With this release, Darktrace / Proactive Exposure Management delivers a more holistic approach, uniting technical context and financial insight to drive proactive risk reduction. The result is a single solution that helps security teams stay ahead of threats while reducing noise, delays, and complexity.

  • No-Telemetry Endpoint: Collects installed software data and maps it to known CVEs—without network traffic—providing device-level vulnerability context and operational relevance.
  • Cost-Benefit Analysis for Patching: Calculates ROI by comparing patching effort with potential exploit impact, factoring in headcount time, device count, patch difficulty, and automation availability.

Introducing the No-Telemetry Endpoint Agent

Darktrace’s new endpoint agent inventories installed software on devices and maps it to known CVEs without collecting network data so you can prioritize using real device context and available security controls.

By grounding vulnerability findings in the reality of each endpoint, including its software footprint and existing controls, teams can cut through generic severity scores and focus on what matters most. The agent is ideal for remote devices, BYOD-adjacent fleets, or environments standardizing on Darktrace, and is available without additional licensing cost.

Darktrace / Proactive Exposure Management user interface
Figure 1: Darktrace / Proactive Exposure Management user interface

Built-In Cost-Benefit Analysis for Patching

Security teams often know what needs fixing but stakeholders need to understand why now. Darktrace’s new cost-benefit calculator compares the total cost to patch against the potential cost of exploit, producing an ROI for the patch action that expresses security action in clear financial terms.

Inputs like engineer time, number of affected devices, patch difficulty, and automation availability are factored in automatically. The result is a business-aligned justification for every patching decision—helping teams secure buy-in, accelerate approvals, and move work forward with one-click ticketing, CSV export, or risk acceptance.

Darktrace / Proactive Exposure Management Cost Benefit Analysis
Figure 2: Darktrace / Proactive Exposure Management Cost Benefit Analysis

A Smarter, Faster Approach to Exposure Management

Together, the no-telemetry endpoint and Cost–Benefit Analysis advance the CTEM motion from theory to practice. You gain higher‑fidelity discovery and validation signals at the device level, paired with business‑ready justification that accelerates mobilization. The result is fewer distractions, clearer priorities, and faster measurable risk reduction. This is not from chasing every alert, but by focusing on what moves the needle now.

  • Smarter Prioritization: Device‑level context trims noise and spotlights the exposures that matter for your business.
  • Faster Decisions: Built‑in ROI turns technical urgency into executive clarity—speeding approvals and action.
  • Practical Execution: Privacy‑conscious endpoint collection and ticketing/export options fit neatly into existing workflows.
  • Better Outcomes: Close the loop faster—discover, prioritize, validate, and mobilize—on the same operating surface.

Committed to innovation

These updates are part of the broader Darktrace release, which also included:

1. Major innovations in cloud security with the launch of the industry’s first fully automated cloud forensics solution, reinforcing Darktrace’s leadership in AI-native security.

2. Darktrace Network Endpoint eXtended Telemetry (NEXT) is revolutionizing NDR with the industry’s first mixed-telemetry agent using Self-Learning AI.

3. Improvements to our OT product, purpose built for industrial infrastructure, Darktrace / OT now brings dedicated OT dashboard, segmentation-aware risk modeling, and expanded visibility into edge assets and automation protocols.

Join our Live Launch Event

When? 

December 9, 2025

What will be covered?

Join our live broadcast to experience how Darktrace is eliminating blind spots for detection and response across your complete enterprise with new innovations in Agentic AI across our ActiveAI Security platform. Industry leaders from IDC will join Darktrace customers to discuss challenges in cross-domain security, with a live walkthrough reshaping the future of Network Detection & Response, Endpoint Detection & Response, Email Security, and SecOps in novel threat detection and autonomous investigations.

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October 24, 2025

Darktrace Announces Extended Visibility Between Confirmed Assets and Leaked Credentials from the Deep and Dark Web

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Why exposure management needs to evolve beyond scans and checklists

The modern attack surface changes faster than most security programs can keep up. New assets appear, environments change, and adversaries are increasingly aided by automation and AI. Traditional approaches like periodic scans, static inventories, or annual pen tests are no longer enough. Without a formal exposure program, many businesses are flying blind, unaware of where the next threat may emerge.

This is where Continuous Threat Exposure Management (CTEM) becomes essential. Introduced by Gartner, CTEM helps organizations continuously assess, validate, and improve their exposure to real-world threats. It reframes the problem: scope your true attack surface, prioritize based on business impact and exploitability, and validate what attackers can actually do today, not once a year.

With two powerful new capabilities, Darktrace / Attack Surface Management helps organizations evolve their CTEM programs to meet the demands of today’s threat landscape. These updates make CTEM a reality, not just a strategy.

Too much data, not enough direction

Modern Attack Surface Management tools excel at discovering assets such as cloud workloads, exposed APIs, and forgotten domains. But they often fall short when it comes to prioritization. They rely on static severity scores or generic CVSS ratings, which do not reflect real-world risk or business impact.

This leaves security teams with:

  • Alert fatigue from hundreds of “critical” findings
  • Patch paralysis due to unclear prioritization
  • Blind spots around attacker intent and external targeting

CISOs need more than visibility. They need confidence in what to fix first and context to justify those decisions to stakeholders.

Evolving Attack Surface Management

Attack Surface Management (ASM) must evolve from static lists and generic severity scores to actionable intelligence that helps teams make the right decision now.

Joining the recent addition of Exploit Prediction Assessment, which debuted in late June 2025, today we’re introducing two capabilities that push ASM into that next era:

  • Exploit Prediction Assessment: Continuously validates whether top-priority exposures are actually exploitable in your environment without waiting for patch cycles or formal pen tests.  
  • Deep & Dark Web Monitoring: Extends visibility across millions of sources in the deep and dark web to detect leaked credentials linked to your confirmed domains.
  • Confidence Score: our newly developed AI classification platform will compare newly discovered assets to assets that are known to belong to your organization. The more these newly discovered assets look similar to assets that belong to your organization, the higher the score will be.

Together, these features compress the window from discovery to decision, so your team can act with precision, not panic. The result is a single solution that helps teams stay ahead of attackers without introducing new complexities.

Exploit Prediction Assessment

Traditional penetration tests are invaluable, but they’re often a snapshot of that point-in-time, are potentially disruptive, and compliance frameworks still expect them. Not to mention, when vulnerabilities are present, teams can act immediately rather than relying solely on information from CVSS scores or waiting for patch cycles.  

Unlike full pen tests which can be obtrusive and are usually done only a couple times per year, Exploit Prediction Assessment is surgical, continuous, and focused only on top issues Instead of waiting for vendor patches or the next pen‑test window. It helps confirm whether a top‑priority exposure is actually exploitable in your environment right now.  

For more information on this visit our blog: Beyond Discovery: Adding Intelligent Vulnerability Validation to Darktrace / Attack Surface Management

Deep and Dark Web Monitoring: Extending the scope

Customers have been asking for this for years, and it is finally here. Defense against the dark web. Darktrace / Attack Surface Management’s reach now spans millions of sources across the deep and dark web including forums, marketplaces, breach repositories, paste sites, and other hard‑to‑reach communities to detect leaked credentials linked to your confirmed domains.  

Monitoring is continuous, so you’re alerted as soon as evidence of compromise appears. The surface web is only a fraction of the internet, and a sizable share of risk hides beyond it. Estimates suggest the surface web represents roughly ~10% of all online content, with the rest gated or unindexed—and the TOR-accessible dark web hosts a high proportion of illicit material (a King’s College London study found ~57% of surveyed onion sites contained illicit content), underscoring why credential leakage and brand abuse often appear in places traditional monitoring doesn’t reach. Making these spaces high‑value for early warning signals when credentials or brand assets appear. Most notably, this includes your company’s reputation, assets like servers and systems, and top executives and employees at risk.

What changes for your team

Before:

  • Hundreds of findings, unclear what to start with
  • Reactive investigations triggered by incidents

After:

  • A prioritized backlog based on confidence score or exploit prediction assessment verification
  • Proactive verification of exposure with real-world risk without manual efforts

Confidence Score: Prioritize based on the use-case you care most about

What is it?

Confidence Score is a metric that expresses similarity of newly discover assets compared to the confirmed asset inventory. Several self-learning algorithms compare features of assets to be able to calculate a score.

Why it matters

Traditional Attack Surface Management tools treat all new discovery equally, making it unclear to your team how to identify the most important newly discovered assets, potentially causing you to miss a spoofing domain or shadow IT that could impact your business.

How it helps your team

We’re dividing newly discovered assets into separate insight buckets that each cover a slightly different business case.

  • Low scoring assets: to cover phishing & spoofing domains (like domain variants) that are just being registered and don't have content yet.
  • Medium scoring assets: have more similarities to your digital estate, but have better matching to HTML, brand names, keywords. Can still be phishing but probably with content.
  • High scoring assets: These look most like the rest of your confirmed digital estate, either it's phishing that needs the highest attention, or the asset belongs to your attack surface and requires asset state confirmation to enable the platform to monitor it for risks.

Smarter Exposure Management for CTEM Programs

Recent updates to Darktrace / Attack Surface Management directly advance the core phases of Continuous Threat Exposure Management (CTEM): scope, discover, prioritize, validate, and mobilize. The new Exploit Prediction Assessment helps teams validate and prioritize vulnerabilities based on real-world exploitability, while Deep & Dark Web Monitoring extends discovery into hard-to-reach areas where stolen data and credentials often surface. Together, these capabilities reduce noise, accelerate remediation, and help organizations maintain continuous visibility over their expanding attack surface.

Building on these innovations, Darktrace / Attack Surface Management empowers security teams to focus on what truly matters. By validating exploitability, it cuts through the noise of endless vulnerability lists—helping defenders concentrate on exposures that represent genuine business risk. Continuous monitoring for leaked credentials across the deep and dark web further extends visibility beyond traditional asset discovery, closing critical blind spots where attackers often operate. Crucially, these capabilities complement, not replace, existing security controls such as annual penetration tests, providing continuous, low-friction validation between formal assessments. The result is a more adaptive, resilient security posture that keeps pace with an ever-evolving threat landscape.

If you’re building or maturing a CTEM program—and want fewer open exposures, faster remediation, and better outcomes, Darktrace / Attack Surface Management’s new Exploit Prediction Assessment and Deep & Dark Web Monitoring are ready to help.

  • Want a more in-depth look at how Exploit Prediction Assessment functions? Read more here

Committed to innovation

These updates are part of the broader Darktrace release, which also included:

1. Major innovations in cloud security with the launch of the industry’s first fully automated cloud forensics solution, reinforcing Darktrace’s leadership in AI-native security.

2. Darktrace Network Endpoint eXtended Telemetry (NEXT) is revolutionizing NDR with the industry’s first mixed-telemetry agent using Self-Learning AI.

3. Improvements to our OT product, purpose built for industrial infrastructure, Darktrace / OT now brings dedicated OT dashboard, segmentation-aware risk modeling, and expanded visibility into edge assets and automation protocols.

Join our Live Launch Event

When? 

December 9, 2025

What will be covered?

Join our live broadcast to experience how Darktrace is eliminating blind spots for detection and response across your complete enterprise with new innovations in Agentic AI across our ActiveAI Security platform. Industry leaders from IDC will join Darktrace customers to discuss challenges in cross-domain security, with a live walkthrough reshaping the future of Network Detection & Response, Endpoint Detection & Response, Email Security, and SecOps in novel threat detection and autonomous investigations.

Continue reading
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