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January 26, 2021

AI-Powered Cloud Security: Darktrace & Google

Discover how Darktrace uses AI and Google Packet Mirroring to enhance cloud security. Learn about their innovative immune system approach.
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
Nabil Zoldjalali
VP, Field CISO
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26
Jan 2021

Google Packet Mirroring + Darktrace/Cloud

With Darktrace’s Self-Learning AI cloud cyber security and the visibility provided by Google’s Packet Mirroring, Darktrace/Cloud brings autonomous, cloud-native threat detection, investigation, and response to your Google Cloud.

Google’s Packet Mirroring service enables Darktrace’s Cyber AI to seamlessly deploy in the cloud and immediately form an understanding of what normal activity looks like for every user, container, application, and workload in a customer’s Google Cloud environment. This bespoke, real-time knowledge of an organization’s ‘pattern of life’ allows Darktrace/Cloud to identify the subtle behavioral deviations that point to a threat.

Darktrace/Cloud delivers the only cloud cyber security solution that learns ‘on the job’, adapts as your business evolves, and autonomously responds to the full range of threats in the cloud. The ability to evolve with an organization and continuously update its understanding of ‘normal’ is a particularly critical feature given the speed and scale of development in the cloud.

With the power of Cyber AI and Google Packet Mirroring, organizations can benefit from bespoke, context-based defense against even the most advanced threats that may emerge – from misconfigurations to compromised credentials.

Leveraging Google Packet Mirroring for Self-Learning Cyber AI

Darktrace/Cloud leverages Google Packet Mirroring to monitor all traffic in a customer’s Google Cloud environment, with no need to deploy agents. This allows Darktrace/Cloud self-learning AI to analyze the entire packet, including headers and payload, and build rich behavioral models for activity in Google Cloud.

With this deep understanding of context, Darktrace/Cloud can detect and correlate all the weak indicators of a threat that policy-based tools miss – even if the threat is highly sophisticated or novel.

Every threat surfaced in Google Cloud is automatically investigated by Cyber AI Analyst which triages, interprets, and reports on the full scope of security incidents, reducing triage time by up to 92%.

Darktrace/Cloud Security Module for Google Cloud provides additional visibility, ensuring full awareness of administrative activity and system events in Cloud Audit Log-Compatible services, with additional support for Data Access Logs for deeper visibility into specific component activity. The Security Module allows for coverage of Darktrace’s workload-focused use cases, identifying threats like data exfiltration and critical misconfigurations.

Because user access to Google Cloud is authenticated via the Google Workspace platform, customers can gain visibility of logins and other user activity with Darktrace’s Google Workspace Module. This Module allows for coverage of Darktrace’s workforce-focused use cases, identifying threats like compromised credentials and insider threat.

Darktrace can deliver total coverage across all your Google Cloud services, including:

  • BigQuery
  • Cloud Compute
  • Cloud CDN
  • Cloud Run
  • Cloud SQL
  • Cloud Storage*
  • Cloud Translate
  • Key Management
  • Resource Manager

*Please note cloud storage files are no longer audited by Google if made explicitly public.

Unified, AI-native platform for defense across the enterprise

Taking a fundamentally unique approach, Darktrace/Cloud can correlate behavior in Google Cloud with activity from SaaS, email, remote endpoints, and any range of on- or off-premise infrastructure across a customer’s enterprise.

This is a crucial benefit, as businesses and workforces today are increasingly complex and dynamic. With Darktrace’s unified security platform, Cyber AI can connect the dots between unusual behavior in disparate infrastructure areas and ensure cloud security is not siloed from the monitoring of the rest of the organizations. And because the AI technology learns ‘on the job’, Darktrace/Cloud provides the flexibility and scalability needed to evolve at the pace of your business.

Augmenting security teams and enabling digital transformation with AI cloud security

Darktrace/Cloud provides the industry’s only self-learning platform that correlates information from across the organization and adapts in real time – improving productivity across the security team and letting you accelerate digital innovation in your Google Cloud environment, and beyond.

Cyber AI can analyze data at a speed and scale impossible for humans, and surfaces actionable insights right when your team needs them. With Darktrace/Cloud, security analysts and business leaders alike can focus more on thoughtful decision-making, while the AI works in the background to ensure the business and workforce are always protected.

Key threat detection use cases for Google Cloud environments include:

  • Data exfiltration and destruction: Detects anomalous device connections, and unusual resource deletion, modification, and movement
  • Critical misconfigurations: Catches unusual permission changes, and anomalous activity around compliance-related data or devices
  • Compromised credentials: Spots brute force attempts, unusual login source or time, and unusual user behavior including rule changes or password resets
  • Insider threat and admin abuse: Identifies the subtle signs of malicious insiders – including sensitive resource access, role changes, or adding/deleting users

Darktrace customers can learn more about leveraging Google Packet Mirroring on the Customer Portal

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
Nabil Zoldjalali
VP, Field CISO

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February 26, 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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February 19, 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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