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October 3, 2024

Introducing real-time multi-cloud detection & response powered by AI

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03
Oct 2024
This blog announces the general availability of Microsoft Azure support for Darktrace / CLOUD, enabling real-time cloud detection and response across dynamic multi-cloud environments. Read more to discover how Darktrace is pioneering AI-led real-time cloud detection and response.

We are delighted to announce the general availability of Microsoft Azure support for Darktrace / CLOUD, enabling real-time cloud detection and response across dynamic multi-cloud environments. Built on Self-Learning AI, Darktrace / CLOUD leverages Microsoft’s new virtual network flow logs (VNet flow) to offer an agentless-first approach that dramatically simplifies detection and response within Azure, unifying cloud-native security with Darktrace’s innovative ActiveAI Security Platform.

As organizations increasingly adopt multi-cloud architectures, the need for advanced, real-time threat detection and response is critical to keep pace with evolving cloud threats. Security teams face significant challenges, including increased complexity, limited visibility, and siloed tools. The dynamic nature of multi-cloud environments introduces ever-changing blind spots, while traditional security tools struggle to provide real-time insights, often offering static snapshots of risk. Additionally, cloud security teams frequently operate in isolation from SOC teams, leading to fragmented visibility and delayed responses. This lack of coordination, especially in hybrid environments, hinders effective threat detection and response. Compounding these challenges, current security solutions are split between agent-based and agentless approaches, with agentless solutions often lacking real-time awareness and agent-based options adding complexity and scalability concerns. Darktrace / CLOUD helps to solve these challenges with real-time detection and response designed specifically for dynamic cloud environments like Azure and AWS.

Pioneering AI-led real-time cloud detection & response

Darktrace has been at the forefront of real-time detection and response for over a decade, continually pushing the boundaries of AI-driven cybersecurity. Our Self-Learning AI uniquely positions Darktrace with the ability to automatically understand and instantly adapt to changing cloud environments. This is critical in today’s landscape, where cloud infrastructures are highly dynamic and ever-changing.  

Built on years of market-leading network visibility, Darktrace / CLOUD understands ‘normal’ for your unique business across clouds and networks to instantly reveal known, unknown, and novel cloud threats with confidence. Darktrace Self-Learning AI continuously monitors activity across cloud assets, containers, and users, and correlates it with detailed identity and network context to rapidly detect malicious activity. Platform-native identity and network monitoring capabilities allow Darktrace / CLOUD to deeply understand normal patterns of life for every user and device, enabling instant, precise and proportionate response to abnormal behavior - without business disruption.

Leveraging platform-native Autonomous Response, AI-driven behavioral containment neutralizes malicious activity with surgical accuracy while preventing disruption to cloud infrastructure or services. As malicious behavior escalates, Darktrace correlates thousands of data points to identify and instantly respond to unusual activity by blocking specific connections and enforcing normal behavior.

Figure 1: AI-driven behavioral containment neutralizes malicious activity with surgical accuracy while preventing disruption to cloud infrastructure or services.

Unparalleled agentless visibility into Azure

As a long-term trusted partner of Microsoft, Darktrace leverages Azure VNet flow logs to provide agentless, high-fidelity visibility into cloud environments, ensuring comprehensive monitoring without disrupting workflows. By integrating seamlessly with Azure, Darktrace / CLOUD continues to push the envelope of innovation in cloud security. Our Self-learning AI not only improves the detection of traditional and novel threats, but also enhances real-time response capabilities and demonstrates our commitment to delivering cutting-edge, AI-powered multi-cloud security solutions.

  • Integration with Microsoft Virtual network flow logs for enhanced visibility
    Darktrace / CLOUD integrates seamlessly with Azure to provide agentless, high-fidelity visibility into cloud environments. VNet flow logs capture critical network traffic data, allowing Darktrace to monitor Azure workloads in real time without disrupting existing workflows. This integration significantly reduces deployment time by 95%1 and cloud security operational costs by up to 80%2 compared to traditional agent-based solutions. Organizations benefit from enhanced visibility across dynamic cloud infrastructures, scaling security measures effortlessly while minimizing blind spots, particularly in ephemeral resources or serverless functions.
  • High-fidelity agentless deployment
    Agentless deployment allows security teams to monitor and secure cloud environments without installing software agents on individual workloads. By using cloud-native APIs like AWS VPC flow logs or Azure VNet flow logs, security teams can quickly deploy and scale security measures across dynamic, multi-cloud environments without the complexity and performance overhead of agents. This approach delivers real-time insights, improving incident detection and response while reducing disruptions. For organizations, agentless visibility simplifies cloud security management, lowers operational costs, and minimizes blind spots, especially in ephemeral resources or serverless functions.
  • Real-time visibility into cloud assets and architectures
    With real-time Cloud Asset Enumeration and Dynamic Architecture Modeling, Darktrace / CLOUD generates up-to-date architecture diagrams, giving SecOps and DevOps teams a unified view of cloud infrastructures. This shared context enhances collaboration and accelerates threat detection and response, especially in complex environments like Kubernetes. Additionally, Cyber AI Analyst automates the investigation process, correlating data across networks, identities, and cloud assets to save security teams valuable time, ensuring continuous protection and efficient cloud migrations.
Figure 2: Real-time visibility into Azure assets and architectures built from network, configuration and identity and access roles.

Unified multi-cloud security at scale

As organizations increasingly adopt multi-cloud strategies, the complexity of managing security across different cloud providers introduces gaps in visibility. Darktrace / CLOUD simplifies this by offering agentless, real-time monitoring across multi-cloud environments. Building on our innovative approach to securing AWS environments, our customers can now take full advantage of robust real-time detection and response capabilities for Azure. Darktrace is one of the first vendors to leverage Microsoft’s virtual network flow logs to provide agentless deployment in Azure, enabling unparalleled visibility without the need for installing agents. In addition, Darktrace / CLOUD offers automated Cloud Security Posture Management (CSPM) that continuously assesses cloud configurations against industry standards.  Security teams can identify and prioritize misconfigurations, vulnerabilities, and policy violations in real-time. These capabilities give security teams a complete, live understanding of their cloud environments and help them focus their limited time and resources where they are needed most.

This approach offers seamless integration into existing workflows, reducing configuration efforts and enabling fast, flexible deployment across cloud environments. By extending its capabilities across multiple clouds, Darktrace / CLOUD ensures that no blind spots are left uncovered, providing holistic, multi-cloud security that scales effortlessly with your cloud infrastructure. diagrams, visualizes cloud assets, and prioritizes risks across cloud environments.

Figure 3: Unified view of AWS and Azure cloud posture and compliance over time.

The future of cloud security: Real-time defense in an unpredictable world

Darktrace / CLOUD’s support for Microsoft Azure, powered by Self-Learning AI and agentless deployment, sets a new standard in multi-cloud security. With real-time detection and autonomous response, organizations can confidently secure their Azure environments, leveraging innovation to stay ahead of the constantly evolving threat landscape. By combining Azure VNet flow logs with Darktrace’s AI-driven platform, we can provide customers with a unified, intelligent solution that transforms how security is managed across the cloud.

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.
  • Learn More:

    References

    1. Based on internal research and customer data

    2. Based on internal research

    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.
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    Adam Stevens
    Director of Product, Cloud Security
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    Email

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    March 19, 2025

    Global Technology Provider Transforms Email Threat Detection with Darktrace

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    At a glance

    • Within just one month of using Darktrace / EMAIL, the volume of suspicious emails requiring analyst attention dropped by 75%, saving analysts 45 hours per month on analysis and investigation.
    • By offloading most manual, repetitive tasks to Darktrace / EMAIL, the company’s skilled security analysts can focus on developing new capabilities and tackling more complex, rewarding projects.
    • Darktrace recently detected and blocked a highly sophisticated and personalized phishing email that spoofed a Microsoft SharePoint and Teams website and used advanced engineering to impersonate the school of an employee’s family member.
    • The transition from the incumbent solution to Darktrace / EMAIL was seamless and undetectable to the company’s vast of customers and partners, reinforcing the security organization’s role as a business enabler—protecting the company and reducing risk without adding friction.

    Securing a complex, distributed business without disruption

    The company remains at the forefront of technological innovation and transformation; however, its success and ambitions come with the challenges of managing a distributed global business—balancing digital advancements, existing technology investments, and evolving compliance requirements.

    Optimizing a complex tech stack for scalable growth

    The organization operates a diverse technology stack spanning Windows, Mac, Linux, and multiple cloud environments, creating a complex and challenging IT landscape. The company’s Chief Information Security Officer (CISO) emphasizes the need for efficiency and agility. “Our goal is to scale and deliver new capabilities without increasing headcount, ensuring that costs remain proportionate to growth.”

    Balancing security, governance, and business agility

    Committed to responsible practices, this industry leader prioritizes secure and trustworthy technology for its customers who rely on its solutions. “Balancing business agility with governance is a constant challenge," said the CISO. "There’s always a natural push and pull, which I believe is healthy—but achieving the right balance is delicate.”

    Protecting critical workflows without impacting productivity

    For the organization, email is much more than just a communication tool. “Email plays a critical role in our engineering workflows and is fundamental to how we build our products.” Because of this, the company is extremely cautious about implementing any solution that could introduce friction or disrupt productivity. “There is zero tolerance for disruption, which is why we take a deliberate and methodical approach when evaluating, selecting, and deploying our tools and solutions,” he said.  

    More than a vendor: A security partner invested in success

    To ensure an optimal security infrastructure, the enterprise security team regularly evaluates market technologies to their existing solutions. With the rapidly evolving threat landscape, the CISO said they “wanted to validate whether we still had best-in-class protection and the right controls in place to secure our organization. It was about assessing whether we could do better in our ongoing effort to fine-tuning our approach to achieve the best possible outcome.”

    The team evaluated 15 different email security vendors based on the following criteria:

    1. Efficacy to detect threats
    2. Ability to integrate with existing tooling
    3. Ease of use
    4. A vendor’s approach to partnership  

    They initially narrowed the list to five vendors, conducting demo sessions for deeper evaluations before selecting three finalists for a proof of value (POV). We analyzed actual malicious emails with each vendor to assess the accuracy of their detections, allowing for an objective comparison,” said the CISO. Through this rigorous process, the Darktrace / EMAIL security solution emerged as the best fit for their business. “Darktrace’s product performed well and showed a genuine commitment to partnering with us in the long-term to ensure our success.”

    The team objectively understood where there were gaps across the different vendors, where they were strong, and where they could use improvement. “Based on the analysis, we knew that Darktrace / EMAIL could deliver as the data supported it, in our specific use cases.  

    Partnership, integrity and respect

    Throughout the evaluation process, the importance of partnership and mutual respect remained an essential factor to the CISO. “I wanted a company we could develop a long-term strategic partnership with, one that could extend far deeper than just email.” A key factor in choosing Darktrace was the commitment and engagement of its team at every level of the organization. “Darktrace showed integrity, patience and a genuine investment in building a strong relationship with my team.  That's why we're here today.”

    “Together, we've delivered some fantastic outcomes”

    For the organization, Darktrace / EMAIL has played a crucial role in reducing risk, empowering analysts, and enabling a lean, effective security strategy. “Together, we've delivered some fantastic outcomes,” said the CISO.  

    Reducing risk. Empowering analysts

    “Within that first month, we saw a 75% drop in suspicious emails that that required manual review, which reduced the time my team spent analyzing and investigating by 45 hours per month,” said the CISO. The security team values Darktrace / EMAIL not only for its ease of use but also for the time it frees up for more meaningful work. “Giving my team the opportunity to tackle complex challenges they enjoy and find more stimulating is important to me.” As they continue to fine-tune and optimize balance levels within Darktrace / EMAIL, he expects even greater efficiency gains in the coming months.

    Maximizing protection while staying lean

    It’s important for the security group to be proportionate with their spending, said the CISO. “It's all about what is enough security to enable the business. And that means, as our organization grows, it's important that we are as lean and as efficient as possible to deliver the best outcomes for the business.”  Embracing an AI-powered automated approach is an essential component to achieving that goal. By offloading most manual, repetitive tasks to Darktrace / EMAIL, the company’s skilled security analysts can focus on more strategic and proactive initiatives that enable the business.  

    Protecting employees from advanced social engineering threats

    Recently, Darktrace detected a malicious email targeting an employee, disguised as a spoofed Microsoft SharePoint and Teams website. What made this attack particularly sophisticated was its personalization — it impersonated the school where the employee’s family member attended. Unlike mass malicious emails sent to thousands of people, this was a highly targeted attack, leveraging advanced social engineering tactics to exploit connections within the education system and between family members.  

    Protecting without disrupting

    A seamless migration is often overlooked but is critical to success for any organization, said the CISO. With a wide ecosystem of partners, email is a highly visible, business-critical function for the organization — "any friction or downtime would have an immediate impact and could throttle the entire business,” he said. However, the transition from their previous solution to Darktrace / EMAIL was exceptionally smooth. “No one realized we changed providers because there was no disruption — no incidents at all. I cannot emphasize just how important that is when I'm trying to position our security organization as an enabling function for the business that protects and reduces risk without adding friction.”

    A security partnership for the future

    “To survive as a business over the next few years, adopting AI is no longer optional—it’s essential,” said the CISO. However, with the cybersecurity market becoming increasingly saturated, selecting the right solutions and vendors can be overwhelming. He stresses the importance of choosing strategic partners who not only deliver the outcomes you need, but also deeply understand your organization’s unique environment. “You’re only as strong as your partners. Technology innovation and the cybersecurity market are always changing.  At some point every solution will face a challenge—it’s inevitable. The differentiator will be how people respond when that happens.”  

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    March 19, 2025

    Survey findings: How is AI Impacting the SOC?

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    There’s no question that AI is already impacting the SOC – augmenting, assisting, and filling the gaps left by staff and skills shortages. We surveyed over 1,500 cybersecurity professionals from around the world to uncover their attitudes to AI cybersecurity in 2025. Our findings revealed striking trends in how AI is changing the way security leaders think about hiring and SOC transformation. Download the full report for the big picture, available now.

    Download the full report to explore these findings in depth

    The AI-human conundrum

    Let’s start with some context. As the cybersecurity sector has rapidly evolved to integrate AI into all elements of cyber defense, the pace of technological advancement is outstripping the development of necessary skills. Given the ongoing challenges in security operations, such as employee burnout, high turnover rates, and talent shortages, recruiting personnel to bridge these skills gaps remains an immense challenge in today’s landscape.

    But here, our main findings on this topic seem to contradict each other.

    There’s no question over the impact of AI-powered threats – nearly three-quarters (74%) agree that AI-powered threats now pose a significant challenge for their organization.  

    When we look at how security leaders are defending against AI-powered threats, over 3 out of 5 (62%) see insufficient personnel to manage tools and alerts as the biggest barrier.  

    Yet at the same time, increasing cyber security staff is at the bottom of the priority list for survey participants, with only 11% planning to increase cybersecurity staff in 2025 – less than in 2024. What 64% of stakeholders are committed to, however, is adding new AI-powered tools onto their existing security stacks.

    With burnout pervasive, the talent deficit reaching a new peak, and growing numbers of companies unable to fill cybersecurity positions, it may be that stakeholders realize they simply cannot hire enough personnel to solve this problem, no matter how much they may want to. As a result, leaders are looking for methods beyond increasing staff to overcome security obstacles.

    Meanwhile, the results show that defensive AI is becoming integral to the SOC as a means of augmenting understaffed teams.

    How is AI plugging skills shortages in the SOC?

    As explored in our recent white paper, the CISO’s Guide to Navigating the Cybersecurity Skills Shortage, 71% of organizations report unfilled cybersecurity positions, leading to the estimation that less than 10% of alerts are thoroughly vetted. In this scenario, AI has become an essential multiplier to relieve the burden on security teams.

    95% of respondents agree that AI-powered solutions can significantly improve the speed and efficiency of their defenses. But how?

    The area security leaders expect defensive AI to have the biggest impact is on improving threat detection, followed by autonomous response to threats and identifying exploitable vulnerabilities.

    Interestingly, the areas that participants ranked less highly (reducing alert fatigue and running phishing simulation), are the tasks that AI already does well and can therefore be used already to relieve the burden of manual, repetitive work on the SOC.

    Different perspectives from different sides of the SOC

    CISOs and SecOps teams aren’t necessarily aligned on the AI defense question – while CISOs tend to see it as a strategic game-changer, SecOps teams on the front lines may be more sceptical, wary of its real-world reliability and integration into workflows.  

    From the data, we see that while less than a quarter of execs doubt that AI-powered solutions will block and automatically respond to AI threats, about half of SecOps aren’t convinced. And only 17% of CISOs lack confidence in the ability of their teams to implement and use AI-powered solutions, whereas over 40% those in the team doubt their own ability to do so.

    This gap feeds into the enthusiasm that executives share about adding AI-driven tools into the stack, while day-to-day users of the tools are more interested in improving security awareness training and improving cybersecurity tool integration.

    Levels of AI understanding in the SOC

    AI is only as powerful as the people who use it, and levels of AI expertise in the SOC can make or break its real-world impact. If security leaders want to unlock AI’s full potential, they must bridge the knowledge gap—ensuring teams understand not just the different types of AI, but where it can be applied for maximum value.

    Only 42% of security professionals are confident that they fully understand all the types of AI in their organization’s security stack.

    This data varies between job roles – executives report higher levels of understanding (60% say they know exactly which types of AI are being used) than participants in other roles. Despite having a working knowledge of using the tools day-to-day, SecOps practitioners were more likely to report having a “reasonable understanding” of the types of AI in use in their organization (42%).  

    Whether this reflects a general confidence in executives rather than technical proficiency it’s hard to say, but it speaks to the importance of AI-human collaboration – introducing AI tools for cybersecurity to plug the gaps in human teams will only be effective if security professionals are supported with the correct education and training.  

    Download the full report to explore these findings in depth

    The full report for Darktrace’s State of AI Cybersecurity is out now. Download the paper to dig deeper into these trends, and see how results differ by industry, region, organization size, and job title.  

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