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April 8, 2025

Cloud Security Evolution: Why Security Teams are Taking the Lead

While many internal teams contribute to general cloud hygiene, the security team has increasingly taken the lead on cloud security. Learn how AI-powered cloud detection and response tools can help these teams with new responsibilities.
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
Pallavi Singh
Product Marketing Manager, OT Security & Compliance
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08
Apr 2025

Cloud adoption is rapidly on the rise. Gartner estimates that 90% of organizations will adopt hybrid clouds through 2027 [1].  

There are many reasons why organizations are migrating on-premises infrastructure to the cloud. It can increase the speed and scale of computing resources, improve reliability and resilience, and save time by outsourcing the spinning up, patching, and updating of infrastructure.  

However, despite these benefits, it is complex to secure. Public clouds operate with a shared responsibility model, meaning that while the Cloud Service Provider (CSP) maintains the physical infrastructure and services, customer organizations are responsible for their own security and compliance in their cloud deployments.  

This customer responsibility is crucial. Gartner forecasted that through 2025, 99% of cloud security failures would be the customer’s fault [2]. As cloud environments grow, security teams are taking on a greater share of the responsibility to protect these assets.

The many teams involved in cloud security

Several teams work across the cloud, and all of them can contribute to cloud security. For example, basic cyber-hygiene and Identity and Access Management (IAM) should be practiced across teams.  

Not every organization has the same categorization of teams, but some common ones include:

  • Security: assessing and mitigating vulnerabilities, risks, and threats. This team must be ready to identify, investigate, respond, and recover from incidents.
  • Infrastructure and ITOps: deploying and maintaining resources. Security must be considered across all layers of the cloud, including gateways, identity, encryption, and attack surface.
  • Research & development: building cloud-based applications. Security must be baked into code, referenced data, access, APIs, and third-party integrations.
  • DevOps: improving the software development process. Security must be applied to code across the development and production stages.
  • Compliance: adhering to industry standards and frameworks. Security often comes up in compliance regulations.  
  • End users: working in the cloud. Security must be taught through employee training sessions to adopt best practices and increase resistance against threats like phishing or data loss.

Traditionally, many organizations left cloud security to dedicated cloud teams. However, it is becoming more and more common for security teams to take on the responsibilities of securing the cloud. This is also true of organizations undergoing cloud migration and spinning up cloud infrastructure for the first time.

The complexity of cloud security

Most organizations using the cloud today have hybrid and/or multi-cloud deployments. Hybrid deployments combine public and private cloud environments and multi-cloud deployments use a combination of public cloud providers or regions where servers are stored. In fact, Deloitte reports that as many as 85% of businesses, a vast majority, use two or more cloud platforms, and 25% use at least five [3].

While these diverse deployments can boost resiliency, they also complicate security. Multiple environments increase the attack surface and reduce architectural visibility, making misconfigurations, unmanaged access, and inconsistent policies more likely. This complexity creates gaps in security that often require specialized teams and expert personnel to address.  

Challenges driving security teams’ responsibility

The usual approaches to other types of cybersecurity can’t be applied the exact same way to the cloud. With the inherent dynamism and flexibility of the cloud, the necessary security mindset differs greatly from those for networks or data centers, with which security teams may be more familiar.

For example, IAM is both critical and distinct to cloud computing, and the associated policies, rules, and downstream impacts require intentional care. IAM rules not only govern people, but also non-human entities like service accounts, API keys, and OAuth tokens. These considerations are unique to cloud security, and established teams may need to learn new skills to reduce security gaps in the cloud.

Additionally, there are greater compliance pressures from GDPR, CCPA, and industry-specific regulations. While some companies have dedicated compliance teams, not every organization does and others are not always familiar with working in cloud environments. In these cases, responsibilities may fall to the security team.  

Finally, there has been a rise in sophisticated, cloud-based threats, such as account takeovers and misconfigurations. Preparing, responding to, and recovering from these cloud-specific threats lie with the security team as well.  

Learn more about the top risks and attacks faced in the cloud in the white paper: “Tackling the 11 Biggest Cloud Threats with AI-Powered Defense.

Solutions empowering security teams

The leading role of security teams in cloud security can put a strain on existing resources as well as exacerbate skills gaps. In response, security teams can turn to AI-powered tools like Darktrace / CLOUD to provide real-time detection and response in cloud environments.  

Darktrace uses multi-layered AI to learn normal ‘patterns of life’ for all users, technologies, and resources across the organization, enabling it to recognize the subtlest anomalies that point to an emerging threat.  

The use of AI allows for automation that reduces manual workloads and saves teams time. The self-learning capabilities also help the human team detect subtle indicators that can be hard to spot amid the immense noise of legitimate, day-to-day digital interactions.

With these, Darktrace can respond to both known and novel threats, helping security teams keep pace with today’s sophisticated threats, even if team members feel less confident in cloud environments.  

Crucially, Darktrace / CLOUD can enable proactive risk management as well. Attack Path Modeling for the cloud identifies exposed assets and highlights internal attack paths to give a dynamic view of the riskiest paths across cloud environments, network environments, and between – enabling security teams to prioritize based on unique business risk and address gaps to prevent future attacks.  

Darktrace / CLOUD dynamically adjusts its focus based on evolving risks, analyzing misconfigurations, and anomalous activity to prevent potential attacks. Its Entitlement Enumeration capability helps security teams gain visibility into all identities, roles, and permissions, allowing dynamic adjustments to stop insider threats and lateral movement.

In these ways, the AI-powered Darktrace / CLOUD can support security teams as they take on the lion’s share of responsibility in securing the cloud, regardless of any resource limitations or skills gaps.

Conclusion

Cloud security is both vital under the shared responsibility model and complex with hybrid and multi-cloud deployments and strict regulatory demands. While many teams contribute to cloud security, more and more responsibilities are shifting to security teams specifically.

AI-powered solutions that can detect and respond to threats spanning a wide range of risks and attack types can support security teams as they protect dynamic cloud environments. By adopting real-time cloud detection and response tools, security teams have more time to dedicate to proactive projects and high-level tasks as well as reduced burden on less specialized team members.  

Discover how advanced AI solutions like Darktrace / CLOUD can address evolving cloud security needs in the solution brief.  

Read more about the latest trends in cloud security in the blog “Protecting Your Hybrid Cloud: The Future of Cloud Security in 2025 and Beyond.”

References:

1. Gartner, November 19, 2024, “Cloud End-User Spending to Total $723 Billion in 2025”  

2. Gartner, October 10, 2019, “Is the Cloud Secure?

3. Deloitte, December 6, 2022, “Above the clouds: Taming multicloud chaos”  

Protect Your Hybrid Cloud

Discover how advanced AI solutions like Darktrace / CLOUD can address evolving cloud security needs in this solution brief

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
Pallavi Singh
Product Marketing Manager, OT Security & Compliance

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March 2, 2026

What the Darktrace Annual Threat Report 2026 Means for Security Leaders

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The challenge for today’s CISOs

At the broadest level, the defining characteristic of cybersecurity in 2026 is the sheer pace of change shaping the environments we protect. Organizations are operating in ecosystems that are larger, more interconnected, and more automated than ever before – spanning cloud platforms, distributed identities, AI-driven systems, and continuous digital workflows.  

The velocity of this expansion has outstripped the slower, predictable patterns security teams once relied on. What used to be a stable backdrop is now a living, shifting landscape where technology, risk, and business operations evolve simultaneously. From this vantage point, the central challenge for security leaders isn’t reacting to individual threats, but maintaining strategic control and clarity as the entire environment accelerates around them.

Strategic takeaways from the Annual Threat Report

The Darktrace Annual Threat Report 2026 reinforces a reality every CISO feels: the center of gravity isn’t the perimeter, vulnerability management, or malware, but trust abused via identity. For example, our analysis found that nearly 70% of incidents in the Americas region begin with stolen or misused accounts, reflecting the global shift toward identity‑led intrusions.

Mass adoption of AI agents, cloud-native applications, and machine decision-making means CISOs now oversee systems that act on their own. This creates an entirely new responsibility: ensuring those systems remain safe, predictable, and aligned to business intent, even under adversarial pressure.

Attackers increasingly exploit trust boundaries, not firewalls – leveraging cloud entitlements, SaaS identity transitions, supply-chain connectivity, and automation frameworks. The rise of non-human identities intensifies this: credentials, tokens, and agent permissions now form the backbone of operational risk.

Boards are now evaluating CISOs on business continuity, operational recovery, and whether AI systems and cloud workloads can fail safely without cascading or causing catastrophic impact.

In this environment, detection accuracy, autonomous response, and blast radius minimization matter far more than traditional control coverage or policy checklists.

Every organization will face setbacks; resilience is measured by how quickly security teams can rise, respond, and resume momentum. In 2026, success will belong to those that adapt fastest.

Managing business security in the age of AI

CISO accountability in 2026 has expanded far beyond controls and tooling. Whether we asked for it or not, we now own outcomes tied to business resilience, AI trust, cloud assurance, and continuous availability. The role is less about certainty and more about recovering control in an environment that keeps accelerating.

Every major 2026 initiative – AI agents, third-party risk, cloud, or comms protection – connects to a single board-level question: Are we still in control as complexity and automation scale faster than humans?

Attackers are not just getting more sophisticated; they are becoming more automated. AI changes the economics of attack, lowering cost and increasing speed. That asymmetry is what CISOs are being measured against.

CISOs are no longer evaluated on tool coverage, but on the ability to assure outcomes – trust in AI adoption, resilience across cloud and identity, and being able to respond to unknown and unforeseen threats.

Boards are now explicitly asking whether we can defend against AI-driven threats. No one can predict every new behavior – survival depends on detecting malicious deviations from normal fast and responding autonomously.  

Agents introduce decision-making at machine speed. Governance, CI/CD scanning, posture management, red teaming, and runtime detection are no longer differentiators but the baseline.

Cloud security is no longer architectural, it is operational. Identity, control planes, and SaaS exposure now sit firmly with the CISO.

AI-speed threats already reshaping security in 2026

We’re already seeing clear examples of how quickly the threat landscape has shifted in 2026. Darktrace’s work on React2Shell exposed just how unforgiving the new tempo is: a honeypot stood up with an exposed React was hit in under two minutes. There was no recon phase, no gradual probing – just immediate, automated exploitation the moment the code appeared publicly. Exposure now equals compromise unless defenses can detect, interpret, and act at machine speed. Traditional operational rhythms simply don’t map to this reality.

We’re also facing the first wave of AI-authored malware, where LLMs generate code that mutates on demand. This removes the historic friction from the attacker side: no skill barrier, no time cost, no limit on iteration. Malware families can regenerate themselves, shift structure, and evade static controls without a human operator behind the keyboard. This forces CISOs to treat adversarial automation as a core operational risk and ensure that autonomous systems inside the business remain predictable under pressure.

The CVE-2026-1731 BeyondTrust exploitation wave reinforced the same pattern. The gap between disclosure and active, global exploitation compressed into hours. Automated scanning, automated payload deployment, coordinated exploitation campaigns, all spinning up faster than most organizations can push an emergency patch through change control. The vulnerability-to-exploit window has effectively collapsed, making runtime visibility, anomaly detection, and autonomous containment far more consequential than patching speed alone.

These cases aren’t edge scenarios; they represent the emerging norm. Complexity and automation have outpaced human-scale processes, and attackers are weaponizing that asymmetry.  

The real differentiator for CISOs in 2026 is less about knowing everything and more about knowing immediately when something shifts – and having systems that can respond at the same speed.

[related-resource]

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About the author
Mike Beck
Global CISO

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March 2, 2026

CVE-2026-1731: How Darktrace Sees the BeyondTrust Exploitation Wave Unfolding

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Note: Darktrace's Threat Research team is publishing now to help defenders. We will continue updating this blog as our investigations unfold.

Background

On February 6, 2026, the Identity & Access Management solution BeyondTrust announced patches for a vulnerability, CVE-2026-1731, which enables unauthenticated remote code execution using specially crafted requests.  This vulnerability affects BeyondTrust Remote Support (RS) and particular older versions of Privileged Remote Access (PRA) [1].

A Proof of Concept (PoC) exploit for this vulnerability was released publicly on February 10, and open-source intelligence (OSINT) reported exploitation attempts within 24 hours [2].

Previous intrusions against Beyond Trust technology have been cited as being affiliated with nation-state attacks, including a 2024 breach targeting the U.S. Treasury Department. This incident led to subsequent emergency directives from  the Cybersecurity and Infrastructure Security Agency (CISA) and later showed attackers had chained previously unknown vulnerabilities to achieve their goals [3].

Additionally, there appears to be infrastructure overlap with React2Shell mass exploitation previously observed by Darktrace, with command-and-control (C2) domain  avg.domaininfo[.]top seen in potential post-exploitation activity for BeyondTrust, as well as in a React2Shell exploitation case involving possible EtherRAT deployment.

Darktrace Detections

Darktrace’s Threat Research team has identified highly anomalous activity across several customers that may relate to exploitation of BeyondTrust since February 10, 2026. Observed activities include:

Outbound connections and DNS requests for endpoints associated with Out-of-Band Application Security Testing; these services are commonly abused by threat actors for exploit validation.  Associated Darktrace models include:

  • Compromise / Possible Tunnelling to Bin Services

Suspicious executable file downloads. Associated Darktrace models include:

  • Anomalous File / EXE from Rare External Location

Outbound beaconing to rare domains. Associated Darktrace models include:

  • Compromise / Agent Beacon (Medium Period)
  • Compromise / Agent Beacon (Long Period)
  • Compromise / Sustained TCP Beaconing Activity To Rare Endpoint
  • Compromise / Beacon to Young Endpoint
  • Anomalous Server Activity / Rare External from Server
  • Compromise / SSL Beaconing to Rare Destination

Unusual cryptocurrency mining activity. Associated Darktrace models include:

  • Compromise / Monero Mining
  • Compromise / High Priority Crypto Currency Mining

And model alerts for:

  • Compromise / Rare Domain Pointing to Internal IP

IT Defenders: As part of best practices, we highly recommend employing an automated containment solution in your environment. For Darktrace customers, please ensure that Autonomous Response is configured correctly. More guidance regarding this activity and suggested actions can be found in the Darktrace Customer Portal.  

Appendices

Potential indicators of post-exploitation behavior:

·      217.76.57[.]78 – IP address - Likely C2 server

·      hXXp://217.76.57[.]78:8009/index.js - URL -  Likely payload

·      b6a15e1f2f3e1f651a5ad4a18ce39d411d385ac7  - SHA1 - Likely payload

·      195.154.119[.]194 – IP address – Likely C2 server

·      hXXp://195.154.119[.]194/index.js - URL – Likely payload

·      avg.domaininfo[.]top – Hostname – Likely C2 server

·      104.234.174[.]5 – IP address - Possible C2 server

·      35da45aeca4701764eb49185b11ef23432f7162a – SHA1 – Possible payload

·      hXXp://134.122.13[.]34:8979/c - URL – Possible payload

·      134.122.13[.]34 – IP address – Possible C2 server

·      28df16894a6732919c650cc5a3de94e434a81d80 - SHA1 - Possible payload

References:

1.        https://nvd.nist.gov/vuln/detail/CVE-2026-1731

2.        https://www.securityweek.com/beyondtrust-vulnerability-targeted-by-hackers-within-24-hours-of-poc-release/

3.        https://www.rapid7.com/blog/post/etr-cve-2026-1731-critical-unauthenticated-remote-code-execution-rce-beyondtrust-remote-support-rs-privileged-remote-access-pra/

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About the author
Emma Foulger
Global Threat Research Operations Lead
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