Fusing Vulnerability and Threat Data: Enhancing the Depth of Attack Analysis
This blog highlights how vulnerability data, collected using Cado's new vulnerability discovery feature, can be fused with threat data to help deepen the understanding of an attack, as well as guide remediation efforts.
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
Paul Bottomley
Director of Product Management | Darktrace
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02
Apr 2025
Cado Security, recently acquired by Darktrace, is excited to announce a significant enhancement to its data collection capabilities, with the addition of a vulnerability discovery feature for Linux-based cloud resources. According to Darktrace’s Annual Threat Report 2024, the most significant campaigns observed in 2024 involved the ongoing exploitation of significant vulnerabilities in internet-facing systems. Cado’s new vulnerability discovery capability further deepens its ability to provide extensive context to security teams, enabling them to make informed decisions about threats, faster than ever.
Deep context to accelerate understanding and remediation
Context is critical when understanding the circumstances surrounding a threat. It can also take many forms – alert data, telemetry, file content, business context (for example asset criticality, core function of the resource), and risk context, such as open vulnerabilities.
When performing an investigation, it is common practice to understand the risk profile of the resource impacted, specifically determining open vulnerabilities and how they may relate to the threat. For example, if an analyst is triaging an alert related to an internet-facing Webserver running Apache, it would greatly benefit the analyst to understand open vulnerabilities in the Apache version that is running, if any of them are exploitable, whether a fix is available, etc. This dataset also serves as an invaluable source when developing a remediation plan, identifying specific vulnerabilities to be prioritised for patching.
Data acquisition in Cado
Cado is the only platform with the ability to perform full forensic captures as well as utilize instant triage collection methods, which is why fusing host-based artifact data with vulnerability data is such an exciting and compelling development.
The vulnerability discovery feature can be run as part of an acquisition – full or triage – as well as independently using a fast ‘Scan only’ mode.
Figure 1: A fast vulnerability scan being performed on the acquired evidence
Once the acquisition has completed, the user will have access to a ‘Vulnerabilities’ table within their investigation, where they are able to view and filter open vulnerabilities (by Severity, CVE ID, Resource, and other properties), as well as pivot to the full Event Timeline. In the Event Timeline, the user will be able to identify whether there is any malicious, suspicious or other interesting activity surrounding the vulnerable package, given the unified timeline presents a complete chronological dataset of all evidence and context collected.
Figure 2: Vulnerabilities discovered on the acquired evidence
Figure 3: Pivot from the Vulnerabilities table to the Event Timeline provides an in-depth view of file and process data associated with the vulnerable package selected. In this example, Apache2.
Future work
In the coming months, we’ll be releasing initial versions of highly anticipated integrations between Cado and Darktrace, including the ability to ingest Darktrace / CLOUD alerts which will automatically trigger a forensic capture (as well as a vulnerability discovery) of the impacted assets.
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.
Announcing Unified Real-Time CDR and Automated Investigations to Transform Cloud Security Operations
Following the announcement of Darktrace / Forensic Acquisition & Investigation, we’re excited to share how Darktrace / CLOUD is evolving to deliver a truly unified approach to cloud security. For the first time, security teams can detect novel cloud threats in real time, automatically investigate them with forensic depth, and respond decisively — all within a single solution built for hybrid and multi-cloud environments.
Introducing the Industry’s First Truly Automated Cloud Forensics Solution
The launch of Darktrace / Forensic Acquisition & Investigation marks a breakthrough moment for cloud security, bringing automated forensic investigations — once reserved for the largest organizations and specialized DFIR teams — to security teams of every size.
Cloud has changed everything, but investigations haven’t kept up. With breaches hitting cloud data and attackers moving faster than ever, legacy forensics are too slow, too manual, and too fragmented. It’s time for a cloud-first approach: automated, unified, and built for today’s speed of attack.
One-Person Security Team, Enterprise-Wide Protection: A Utility Company’s Darktrace Success Story
A critical mission: Securing public utility systems
This company manages essential utility infrastructure across more than 100 distributed sites, resulting in a wide attack surface spanning both information technology (IT) and operational technology (OT). With attacks on critical infrastructure rising, the company wanted to strengthen defenses.
The limits of traditional tools
The existing mix of conventional tools for visibility and security monitoring posed numerous limitations:
Fragmented tools required switching between dashboards to piece together insights
Multiple tools were required to both identify and take action on potential incidents
Integration between IT, OT, cloud and email required heavy manual effort
Existing cybersecurity investments were failing to deliver favorable ROI
A security team of one
For the company’s one-person security team and Vice President of IT, juggling multiple tools and switching between platforms were drains on his time and impacted threat detection and response times. “If an unknown actor attempts to connect to our networks, I need to know immediately and have the ability to stop them before they can do damage.”
Unified, AI-driven defense with Darktrace
The company wanted to unify IT and OT security, reduce manual workload and deliver actionable intelligence in real time. “Darktrace offered the visibility and autonomous capabilities we needed for a proactive defense, including the ability to both see incidents and take action through a single-pane-of-glass.”
Today, the company is using the Darktrace ActiveAI Security Platform™ as the cornerstone of its defense strategy, including:
When compared to a security operations center, the VP said Darktrace is faster, more efficient and more accurate – delivering holistic protection without the high cost or risk of human error.
Darktrace’s Autonomous Response has been a game changer for a shop our size. It stops attacks in real time, before they can move laterally. As a team of one, I can adjust Darktrace’s autonomous actions, ensuring the AI automatically takes stronger actions during off hours to contain threats.”
A single platform for holistic visibility and resilience
Initially licensed under an OT-only pricing model, the company quickly recognized the broader value of Darktrace Self-Learning AI – extending deployment across its IT, cloud, email and endpoint environments and consolidating multiple tools. This holistic visibility is also helping the company to meet ISO and SEC compliance requirements.
A rapid, guided and streamlined deployment
The VP described the Darktrace rollout as smooth and highly collaborative, noting that Darktrace, “Held our hand throughout the process and was genuinely interested in making sure our experience with the platform and the company was top notch.” Despite the complexity of managing multi-connectivity for 100 sites, rollout took less than one week, guided by a clear plan from the Darktrace implementation team.
From barriers to breakthroughs
A seamless security ecosystem
With Darktrace, the company now operates a seamless, AI-driven security ecosystem that combines deep threat validation, intuitive user experience, and a single pane of glass for holistic cyber defense. What began as an OT-focused deployment has grown into a platform that unifies IT, OT, cloud, email and endpoint visibility, delivering comprehensive protection without the overhead of managing multiple tools.
From false positives to real-time, autonomous precision
Since using Darktrace, the company’s false positives have decreased to single digits per day. Within three months, Darktrace conducted 1,470 total investigations, resolving 92% of those autonomously. And Darktrace consistently catches threats that other tools miss:
When a remote call center agent landed on a malware-laden site using their company device, the company’s endpoint solution failed to catch it. But Darktrace / ENDPOINT detected the malicious traffic in real time, immediately cutting the connection and blocking the machine from the home network – stopping the attack before it could spread.
Darktrace / EMAIL has consistently flagged suspicious messages other tools missed, including credential harvesters or malware disguised as legitimate emails. “Occasionally users request the release of a legitimate email, whether it’s a blocked link or a message diverted to junk. But 10% of those messages could have caused real harm,” said the VP. “And because Darktrace AI is always learning and adapting, it will identify similar legitimate emails in the future, reducing false positives. That tradeoff is well worth it.”
Time saved, confidence gained
For the VP, one of the biggest benefits is time. In less than one month, Darktrace saved the company 264 analyst hours spent on investigations, only escalating 8% of suspected threats for further review. And with Darktrace’s unified dashboard and real-time monitoring, the VP said, “I no longer have to spend time verifying each security tool is working because I can see everything in one location. And, if there is an issue, Darktrace will let me know. That gives me confidence to let the system handle threats while I focus on other priorities.”
Strengthening OT without complexity
The VP said Darktrace / OT has become one of the most valuable aspects of the deployment. Darktrace / OT provides visibility into firmware levels, PLC communications and unusual device interactions that even dedicated OT tools miss. And using Darktrace, the company can segment OT networks securely while still monitoring them through a single interface, strengthening resilience without adding complexity.
Turning cybersecurity into a business catalyst
By reducing tool sprawl, automating responses, and adapting to the unique rhythms of the organization, Darktrace has transformed the company’s cybersecurity from a constant worry into a reliable foundation.
For us, cybersecurity isn’t just about blocking threats, it’s about building resilience that frees us to focus on growth and innovation. With Darktrace as a trusted partner, we’re no longer stuck reacting to problems; we’re shaping a future where security is a catalyst, not a constraint.”
Announcing Unified Real-Time CDR and Automated Investigations to Transform Cloud Security Operations
Fragmented Tools are Failing SOC Teams in the Cloud Era
The cloud has transformed how businesses operate, reshaping everything from infrastructure to application delivery. But cloud security has not kept pace. Most tools still rely on traditional models of logging, policy enforcement, and posture management; approaches that provide surface-level visibility but lack the depth to detect or investigate active attacks.
Meanwhile, attackers are exploiting vulnerabilities, delivering cloud-native exploits, and moving laterally in ways that posture management alone cannot catch fast enough. Critical evidence is often missed, and alerts lack the forensic depth SOC analysts need to separate noise from true risk. As a result, organizations remain exposed: research shows that nearly nine in ten organizations have suffered a critical cloud breach despite investing in existing security tools [1].
SOC teams are left buried in alerts without actionable context, while ephemeral workloads like containers and serverless functions vanish before evidence can be preserved. Point tools for logging or forensics only add complexity, with 82% of organizations using multiple platforms to investigate cloud incidents [2].
The result is a broken security model: posture tools surface risks but don’t connect them to active attacker behaviors, while investigation tools are too slow and fragmented to provide timely clarity. Security teams are left reactive, juggling multiple point solutions and still missing critical signals. What’s needed is a unified approach that combines real-time detection and response for active threats with automated investigation and cloud posture management in a single workflow.
Just as security teams once had to evolve beyond basic firewalls and antivirus into network and endpoint detection, response, and forensics, cloud security now requires its own next era: one that unifies detection, response, and investigation at the speed and scale of the cloud.
A Powerful Combination: Real-Time CDR + Automated Cloud Forensics
Darktrace / CLOUD now uniquely unites detection, investigation, and response into one workflow, powered by Self-Learning AI. This means every alert, from any tool in your stack, can instantly become actionable evidence and a complete investigation in minutes.
With this release, Darktrace / CLOUD delivers a more holistic approach to cloud defense, uniting real-time detection, response, and investigation with proactive risk reduction. The result is a single solution that helps security teams stay ahead of attackers while reducing complexity and blind spots.
Automated Cloud Forensic Investigations: Instantly capture and analyze volatile evidence from cloud assets, reducing investigation times from days to minutes and eliminating blind spots
Enhanced Cloud-Native Threat Detection: Detect advanced attacker behaviors such as lateral movement, privilege escalation, and command-and-control in real time
Enhanced Live Cloud Topology Mapping: Gain continuous insight into cloud environments, including ephemeral workloads, with live topology views that simplify investigations and expose anomalous activity
Agentless Scanning for Proactive Risk Reduction: Continuously monitor for misconfigurations, vulnerabilities, and risky exposures to reduce attack surface and stop threats before they escalate.
Automated Cloud Forensic Investigations
Darktrace / CLOUD now includes capabilities introduced with Darktrace / Forensic Acquisition & Investigation, triggering automated forensic acquisition the moment a threat is detected. This ensures ephemeral evidence, from disks and memory to containers and serverless workloads can be preserved instantly and analyzed in minutes, not days. The integration unites detection, response, and forensic investigation in a way that eliminates blind spots and reduces manual effort.
Figure 1: Easily view Forensic Investigation of a cloud resource within the Darktrace / CLOUD architecture map
Enhanced Cloud-Native Threat Detection
Darktrace / CLOUD strengthens its real-time behavioral detection to expose early attacker behaviors that logs alone cannot reveal. Enhanced cloud-native detection capabilities include:
• Privilege Escalation via Role Assumption – Identifies suspicious attempts to gain elevated access.
• Malicious Compute Resource Usage – Flags threats such as crypto mining or spam operations.
These enhancements ensure active attacks are detected earlier, before adversaries can escalate or move laterally through cloud environments.
Figure 2: Cyber AI Analyst summary of anomalous behavior for privilege escalation and establishing persistence.
Enhanced Live Cloud Topology Mapping
New enhancements to live topology provide real-time mapping of cloud environments, attacker movement, and anomalous behavior. This dynamic visibility helps SOC teams quickly understand complex environments, trace attack paths, and prioritize response. By integrating with Darktrace / Proactive Exposure Management (PEM), these insights extend beyond the cloud, offering a unified view of risks across networks, endpoints, SaaS, and identity — giving teams the context needed to act with confidence.
Figure 3: Enhanced live topology maps unify visibility across architectures, identities, network connections and more.
Agentless Scanning for Proactive Risk Reduction
Darktrace / CLOUD now introduces agentless scanning to uncover malware and vulnerabilities in cloud assets without impacting performance. This lightweight, non-disruptive approach provides deep visibility into cloud workloads and surfaces risks before attackers can exploit them. By continuously monitoring for misconfigurations and exposures, the solution strengthens posture management and reduces attack surface across hybrid and multi-cloud environments.
Figure 4: Agentless scanning of cloud assets reveals vulnerabilities, which are prioritized by severity.
Together, these capabilities move cloud security operations from reactive to proactive, empowering security teams to detect novel threats in real time, reduce exposures before they are exploited, and accelerate investigations with forensic depth. The result is faster triage, shorter MTTR, and reduced business risk — all delivered in a single, AI-native solution built for hybrid and multi-cloud environments.
Accelerating the Evolution of Cloud Security
Cloud security has long been fragmented, forcing teams to stitch together posture tools, log-based monitoring, and external forensics to get even partial coverage. With this release, Darktrace / CLOUD delivers a holistic, unified approach that covers every stage of the cloud lifecycle, from proactive posture management and risk identification to real-time detection, to automated investigation and response.
By bringing these capabilities together in a single AI-native solution, Darktrace is advancing cloud security beyond incremental change and setting a new standard for how organizations protect their hybrid and multi-cloud environments.
With Darktrace / CLOUD, security teams finally gain end-to-end visibility, response, and investigation at the speed of the cloud, transforming cloud defense from fragmented and reactive to unified and proactive.
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