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February 3, 2025

CNAPP Alone Isn’t Enough: Focusing on CDR for Real-Time Cross Domain Protection

This blog dives into the strengths and limitations of CNAPP, explaining how a CDR solution can enhance cloud security to identify and mitigate cross-domain threats.
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
Adam Stevens
Senior Director of Product, Cloud | Darktrace
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03
Feb 2025

Forecasts predict public cloud spending will soar to over $720 billion by 2025, with 90%[1] of organizations embracing a hybrid cloud approach by 2027. These figures could also be eclipsed as more businesses unearth the potential impact that AI can make on their productivity. The pace of evolution is staggering, but one thing hasn’t changed: the cloud security market is a maze of complexity. Filled with acronyms, overlapping capabilities, and endless use cases tailored to every buyer persona.

On top of this, organizations face a fragmented landscape of security tools, each designed to cover just one slice of the cloud security puzzle. Then there’s CNAPP (Cloud-Native Application Protection Platform) — a broad platform promising to do it all but often falling short, especially around providing runtime detection and response capabilities. It’s no wonder organizations struggle to cut through the noise and find the precision they require.

Looking more closely at what CNAPP has to offer, it can feel like as if it is all you would ever need, but is that really the case?

Strengths and limitations of CNAPP

A CNAPP is undeniably a compelling solution, originally coming from CSPM (Cloud Security Posture Management), it provided organizations with a snapshot of their deployed cloud assets, highlighting whether they were as secure as intended. However, this often resulted in an overwhelming list of issues to fix, leaving organizations unsure where to focus their energy for maximum impact.

To address this, CNAPP’s evolved, incorporating capabilities like; identifying software vulnerabilities, mapping attack paths, and understanding which identities could act within the cloud. The goal became clear: prioritize fixes to reduce the risk of compromise.

But what if we could avoid these problems altogether? Imagine deploying software securely from the start — preventing the merging of vulnerable packages and ensuring proper configurations in production environments by shifting left. This preventative approach is vital to any “secure by design” strategy, CNAPP’s again evolving to add this functionality alongside.

However, as applications grow more complex, so do the variety and scope of potential issues. The responsibility for addressing these challenges often falls to engineers, who are left balancing the pressure to write code with the burden of fixing critical findings that may never even pose a real risk to the organization.

While CNAPP serves as an essential risk prevention tool — focusing on hygiene, compliance, and enabling organizations to deploy high-quality code on well-configured infrastructure — its role is largely limited to reducing the potential for issues. Once applications and infrastructure are live, the game changes. Security’s focus shifts to detecting unwanted activity and responding to real-time risks.

Limitations of CNAPP

Here’s where CNAPP shows its limitations:

1. Blind spots for on-premises workloads

Designed for cloud-native environments, it can leave blind spots for workloads that remain on-premises — a significant concern given that 90% of organizations are expected to adopt a hybrid cloud strategy by 2027. These blind spots can increase the risk of cross-domain attacks, underscoring the need for a solution that goes beyond purely prevention but adds real-time detection and response.

2. Detecting and mitigating cross-domain threats

Adversaries have evolved to exploit the complexity of hybrid and cloud environments through cross-domain attacks. These attacks span multiple domains — including traditional network environments, identity systems, SaaS platforms, and cloud environments — making them exceptionally difficult to detect and mitigate. Attackers are human and will naturally choose the path of least resistance, why spend time writing a detailed software exploit for a vulnerability if you can just target the identity?

Imagine a scenario where an attacker compromises an organization via leaked credentials and then moves laterally, similar to the example outlined in this blog: The Price of Admission: Countering Stolen Credentials with Darktrace. If an attacker identifies cloud credentials and moves into the cloud control plane, they could access additional sensitive data. Without a detection platform that monitors these areas for unusual activity, while working to consolidate findings into a unified timeline, detecting these types of attacks becomes incredibly challenging.

A CNAPP might only point to a potential misconfiguration of an identity or for example a misconfiguration around secret storage, but it cannot detect when that misconfiguration has been exploited — let alone respond to it.

Identity + Network: Unlocking cross-domain threats

Identity is more than just a role or username; it is essentially an access point for attackers to leverage and move between different areas of a digital estate. Real-time monitoring of human and non-human identities is crucial for understanding intent, spotting anomalies, and preventing possible attacks before they spread.

Non-human roles, such as service accounts or automation tooling, often operate with trust and without oversight. In 2024, the Cybersecurity and Critical Infrastructure Agency (CISA) [2] released a warning regarding new strategies employed by SolarWinds attackers. These strategies were primarily aimed at cloud infrastructure and non-human identities. The warning details how attackers leverage credentials and valid applications for malicious purposes.

With organizations opting for a hybrid approach, combining network, identity, cloud management and cloud runtime activity is essential to detecting and mitigating cross domain attacks, these are just some of the capabilities needed for effective detection and response:

  • AI driven automated and unified investigation of events – due to the volume of data and activity within businesses digital estates leveraging AI is vital, to enable SOC teams in understanding and facilitating proportional and effective responses.
  • Real-time monitoring auditing combined with anomaly detection for human and non-human identities.
  • A unified investigation platform that can deliver a real-time understanding of Identity, deployed cloud assets, runtime and contextual findings as well as coverage for remaining on premises workloads.
  • The ability to leverage threat intelligence automatically to detect potential malicious activities quickly.

The future of cloud security: Balancing risk management with real-time detection and response

Darktrace / CLOUD's CDR approach enhances CNAPP by providing the essential detection and native response needed to protect against cross-domain threats. Its agentless, default setup is both cost-effective and scalable, creating a runtime baseline that significantly boosts visibility for security teams. While proactive controls are crucial for cloud security, pairing them with Cloud Detection and Response solutions addresses a broader range of challenges.

With Darktrace / CLOUD, organizations benefit from continuous, real-time monitoring and advanced AI-driven behavioral detection, ensuring proactive detection and a robust cloud-native response. This integrated approach delivers comprehensive protection across the digital estate.

Unlock advanced cloud protection

Darktrace / CLOUD solution brief screenshot

Download the Darktrace / CLOUD solution brief to discover how autonomous, AI-driven defense can secure your environment in real-time.

  • Achieve 60% more accurate detection of unknown and novel cloud threats.
  • Respond instantly with autonomous threat response, cutting response time by 90%.
  • Streamline investigations with automated analysis, improving ROI by 85%.
  • Gain a 30% boost in cloud asset visibility with real-time architecture modeling.

References

  1. https://www.gartner.com/en/newsroom/press-releases/2024-11-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-total-723-billion-dollars-in-2025
  2. https://www.cisa.gov/news-events/cybersecurity-advisories/aa24-057a
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
Adam Stevens
Senior Director of Product, Cloud | Darktrace

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April 2, 2026

How Chinese-Nexus Cyber Operations Have Evolved – And What It Means For Cyber Risk and Resilience 

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Cybersecurity has traditionally organized risk around incidents, breaches, campaigns, and threat groups. Those elements still matter—but if we fixate on individual incidents, we risk missing the shaping of the entire ecosystem. Nation‑state–aligned operators are increasingly using cyber operations to establish long-term strategic leverage, not just to execute isolated attacks or short‑term objectives.  

Our latest research, Crimson Echo, shifts the lens accordingly. Instead of dissecting campaigns, malware families, or actor labels as discrete events, the threat research team analyzed Chinese‑nexus activity as a continuum of behaviors over time. That broader view reveals how these operators position themselves within environments: quietly, patiently, and persistently—often preparing the ground long before any recognizable “incident” occurs.  

How Chinese-nexus cyber threats have changed over time

Chinese-nexus cyber activity has evolved in four phases over the past two decades. This ranges from early, high-volume operations in the 1990s and early 2000s to more structured, strategically-aligned activity in the 2010s, and now toward highly adaptive, identity-centric intrusions.  

Today’s phase is defined by scale, operational restraint, and persistence. Attackers are establishing access, evaluating its strategic value, and maintaining it over time. This reflects a broader shift: cyber operations are increasingly integrated into long-term economic and geopolitical strategies. Access to digital environments, specifically those tied to critical national infrastructure, supply chains, and advanced technology, has become a form of strategic leverage for the long-term.  

How Darktrace analysts took a behavioral approach to a complex problem

One of the challenges in analyzing nation-state cyber activity is attribution. Traditional approaches often rely on tracking specific threat groups, malware families, or infrastructure. But these change constantly, and in the case of Chinese-nexus operations, they often overlap.

Crimson Echo is the result of a retrospective analysis of three years of anomalous activity observed across the Darktrace fleet between July 2022 and September 2025. Using behavioral detection, threat hunting, open-source intelligence, and a structured attribution framework (the Darktrace Cybersecurity Attribution Framework), the team identified dozens of medium- to high-confidence cases and analyzed them for recurring operational patterns.  

This long-horizon, behavior-centric approach allows Darktrace to identify consistent patterns in how intrusions unfold, reinforcing that behavioral patterns that matter.  

What the data shows

Several clear trends emerged from the analysis:

  • Targeting is concentrated in strategically important sectors. Across the dataset, 88% of intrusions occurred in organizations classified as critical infrastructure, including transportation, critical manufacturing, telecommunications, government, healthcare, and Information Technology (IT) services.  
  • Strategically important Western economies are a primary focus. The US alone accounted for 22.5% of observed cases, and when combined with major European economies including Germany, Italy, Spain and the UK, over half of all intrusions (55%) were concentrated in these regions.  
  • Nearly 63% of intrusions of intrusions began with the exploitation of internet-facing systems, reinforcing the continued risk posed by externally exposed infrastructure.  

Two models of cyber operations

Across the dataset, Chinese-nexus activity followed two operational models.  

The first is best described as “smash and grab.” These are short-horizon intrusions optimized for speed. Attackers move quickly – often exfiltrating data within 48 hours – and prioritize scale over stealth. The median duration of these compromises is around 10 days. It’s clear they are willing to risk detection for short-term gain.  

The second is “low and slow.” These operations were less prevalent in the dataset, but potentially more consequential. Here, attackers prioritize persistence, establishing durable access through identity systems and legitimate administrative tools, so they can maintain access undetected for months or even years. In one notable case, the actor had fully compromised the environment and established persistence, only to resurface in the environment more than 600 days after. The operational pause underscores both the depth of the intrusion and the actor’s long‑term strategic intent. This suggests that cyber access is a strategic asset to preserve and leverage over time, and we observed these attacks most often inin sectors of the high strategic importance.  

It’s important to note that the same operational ecosystem can employ both models concurrently, selecting the appropriate model based on target value, urgency, intended access. The observation of a “smash and grab” model should not be solely interpreted as a failure of tradecraft, but instead an operational choice likely aligned with objectives. Where “low and slow” operations are optimized for patience, smash and grab is optimized for speed; both seemingly are deliberate operational choices, not necessarily indicators of capability.  

Rethinking cyber risk

For many organizations, cyber risk is still framed as a series of discrete events. Something happens, it is detected and contained, and the organization moves on. But persistent access, particularly in deeply interconnected environments that span cloud, identity-based SaaS and agentic systems, and complex supply chain networks, creates a major ongoing exposure risk. Even in the absence of disruption or data theft, that access can provide insight into operations, dependencies, and strategic decision-making. Cyber risk increasingly resembles long-term competitive intelligence.  

This has impact beyond the Security Operations Center. Organizations need to shift how they think about governance, visibility, and resilience, and treat cyber exposure as a structural business risk instead of an incident response challenge.  

What comes next

The goal of this research is to provide a clearer understanding of how these operations work, so defenders can recognize them earlier and respond more effectively. That includes shifting from tracking indicators to understanding behaviors, treating identity providers as critical infrastructure risks, expanding supplier oversight, investing in rapid containment capabilities, and more.  

Learn more about the findings of Darktrace’s latest research, Crimson Echo: Understanding Chinese-nexus Cyber Operations Through Behavioral Analysis, by downloading the full report and summaries for business leaders, CISOs, and SOC analysts here.  

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April 1, 2026

AI-powered security for a rapidly growing grocery enterprise

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Protecting a complex, fast-growing retail organization

For this multi-banner grocery holding organization, cybersecurity is considered an essential business enabler, protecting operations, growth, and customer trust. The organization’s lean IT team manages a highly distributed environment spanning corporate offices, 100+ stores, distribution centers and  thousands of endpoints, users, and third-party connections.

Mergers and acquisitions fueled rapid growth, but they also introduced escalating complexity that constrained visibility into users, endpoints, and security risks inherited across acquired environments.

Closing critical visibility gaps with limited resources

Enterprise-wide visibility is a top priority for the organization, says the  Vice President of Information Technology. “We needed insights beyond the perimeter into how users and devices were behaving across the organization.”

A security breach that occurred before the current IT leadership joined the company reinforced the urgency and elevated cybersecurity to an executive-level priority with a focus on protecting customer trust. The goal was to build a multi-layered security model that could deliver autonomous, enterprise-wide protection without adding headcount.

Managing cyber risk in M&A

Mergers and acquisitions are central to the grocery holding company’s growth strategy. But each transaction introduces new cyber risk, including inherited network architectures, inconsistent tooling, excessive privileges, and remnants of prior security incidents that were never fully remediated.

“Our M&A targets range from small chains with a single IT person and limited cyber tools to large chains with more developed IT teams, toolsets and instrumentation,” explains the VP of IT. “We needed a fast, repeatable, and reliable way to assess cyber risk before transactions closed.”

AI-driven security built for scale, speed, and resilience

Rather than layering additional point tools onto an already complex environment, the retailer adopted the Darktrace ActiveAI Security Platform™ in 2020 as part of a broader modernization effort to improve resilience, close visibility gaps, and establish a security foundation that could scale with growth.

“Darktrace’s AI-driven approach provided the ideal solution to these challenges,” shares the VP of IT. “It has empowered our organization to maintain a robust security strategy, ensuring the protection of our network and the smooth operation of our business.”

Enterprise-wide visibility into traffic  

By monitoring both north-south and east-west traffic and applying Self-Learning AI, Darktrace develops a dynamic understanding of how users and devices normally behave across locations, roles, and systems.

“Modeling normal behavior across the environment enables us to quickly spot behavior that doesn’t fit. Even subtle changes that could signal a threat but appear legitimate at first glance,” explains the VP of IT.

Real-time threat containment, 24/7

Adopting autonomous response has created operational breathing room for the security team, says the company’s Cybersecurity  Engineer.

“Early on, we enabled full Darktrace autonomous mode and we continue to do so today,” shares the IT Security Architect. “Allowing the technology to act first gives us the time we need to investigate incidents during business hours without putting the business at risk.”

Unified, actionable view of security ecosystem

The grocery retailer integrated Darktrace with its existing security ecosystem of firewalls, vulnerability management tools, and endpoint detection and response, and the VP of IT described the adoption process as “exceptionally smooth.”

The team can correlate enterprise-wide security data for a unified and actionable picture of all activity and risk. Using this “single pane of glass” approach, the retailer trains Level 1 and Level 2 operations staff to assist with investigations and user follow-ups, effectively extending the reach of the security function without expanding headcount.

From reactive defense to security at scale

With Darktrace delivering continuous visibility, autonomous containment, and integrated security workflows, the organization has strengthened its cybersecurity posture while improving operational efficiency. The result is a security model that not only reduces risk, but also supports growth, resilience, and informed decision-making at the business level.

Faster detection, faster resolution

With autonomous detection and response, the retailer can immediately contain risk while analysts investigate and validate activity. With this approach, the company can maintain continuous protection even outside business hours and reduce the chance of lateral spread across systems or locations.

Enterprise-grade protection with a lean team

From cloud environments to clients to SaaS collaboration tools, Darktrace provides holistic autonomous AI defense, processing petabytes of the organization’s network traffic and investigating millions of individual events that could be indicative of a wider incident.

Today, Darktrace autonomously conducts the majority of all investigations on behalf of the IT team, escalating only a tiny fraction for analyst review. The impact has been profound, freeing analysts from endless alerts and hours of triage so they can focus on more valuable, proactive, and gratifying work.

“From an operational perspective, Darktrace gives us time back,” says the Cybersecurity Engineer. More importantly, says the VP of IT, “it gives us peace of mind that we’re protected even if we’re not actively monitoring every alert.”

A strategic input for M&A decision-making

One of the most strategic outcomes has been the role of cybersecurity on M&A. 90 days prior to closing a transaction, the security team uses Darktrace alongside other tools to perform a cyber risk assessment of the potential acquisition. “Our approach with Darktrace has consistently identified gaps and exposed risks,” says the VP of IT, including:

  • Remnants of previous incidents that were never fully remediated
  • Network configurations with direct internet exposure
  • Excessive administrative privileges in Active Directory or on critical hosts

While security findings may not alter deal timelines, the VP of IT says they can have enormous business implications. “With early visibility into these risks, we can reduce exposure to inherited cyber threats, strengthen our position during negotiations, and establish clear remediation requirements.”

A security strategy built to evolve with the business

As the holding group expands its cloud footprint, it will extend Darktrace protections into Azure, applying the same AI-driven visibility and autonomous response to cloud workloads. The VP of IT says Darktrace's evolving capabilities will be instrumental in addressing the organization’s future cybersecurity needs and ability to adapt to the dynamic nature of cloud security.

“With Darktrace’s AI-driven approach, we have moved beyond reactive defense, establishing a resilient security foundation for confident expansion and modernization.”

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