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AI Cloud Security with Darktrace and Google Packet Mirroring

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26
Jan 2021
26
Jan 2021
This blog explains how the visibility provided by Google’s Packet Mirroring enables Darktrace to seamlessly deploy in the cloud and form an understanding of what normal activity looks like for every user, container, application, and workload in a customer’s Google Cloud environment.

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 übersetzen
  • 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

EINBLICKE IN DAS SOC-Team
Darktrace Cyber-Analysten sind erstklassige Experten für Threat Intelligence, Threat Hunting und Incident Response. Sie bieten Tausenden von Darktrace Kunden auf der ganzen Welt rund um die Uhr SOC-Support. Einblicke in das SOC-Team wird ausschließlich von diesen Experten verfasst und bietet Analysen von Cyber-Vorfällen und Bedrohungstrends, die auf praktischen Erfahrungen in diesem Bereich basieren.
AUTOR
ÜBER DEN AUTOR
Nabil Zoldjalali
VP, Technologie-Innovation

Based in Toronto, Nabil develops innovative ways to continuously realize the Darktrace technology vision, working closely with Darktrace’s Research & Development team. He advises strategic Fortune 500 customers across North America on advanced threat detection, Self-Learning AI, and Autonomous Response. Nabil is a frequent speaker at leading industry conferences across North America, including Microsoft Ignite, Black Hat, and the World AI Forum. He holds a Bachelor’s degree in Electrical and Electronic Engineering from McGill University and is an advisory board member of the EC Council.

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Customer Blog: Community Housing Limited Enhancing Incident Response

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04
Mar 2024

About Community Housing Limited

Community Housing Limited is a non-profit organization based in Australia that focuses on providing affordable, long-term housing and creating employment opportunities where possible. We give people the security of having a home so that they can focus on other essential pathways. As such, we are responsible for sensitive information on our clients.

As part of our commitment to strengthening our cyber security, we sought to simplify and unify our incident response plans and equip our engineers and desktop support teams with all the information we need at our fingertips.

Why Community Housing Limited chose Darktrace

Our team hoped to achieve a response procedure that allowed us to have oversight over any potential security risks, even cases that don’t overtly seem like a security risk. For example, an incident could start as a payroll issue and end up in the hands of HR, instead of surfacing as a security problem. In this case, our security team has no way of knowing the real number of events or how the threat had actually started and played out, making incident response and mitigation even more challenging.

We were already a customer of Darktrace’s autonomous threat detection, attack intervention, and attack surface management capabilities, and decided to add Darktrace for AI-assisted incident response and AI cyber-attack simulation.

AI-generated playbooks save time during incident response

I wanted to reduce the time and resources it took our security team to appropriately respond to a threat. Darktrace automates several steps of the recovery process to accelerate the rate of incident response by using AI that learns the granular details of the specific organization, building a dynamic understanding of the devices, connections, and user behaviors that make up the normal “pattern of life.”  

The AI then uses this understanding to create bespoke, AI-generated incident response playbooks that leverage an evolving understanding of our organization to determine recovery steps that are tailored not only to the specific incident but also to our unique environment.

For my security team, this means having access to all the information we need to respond to a threat. When running through an incident, rather than going to different places to synthesize relevant information, which takes up valuable resources and time, we can speed up its remediation with Darktrace.  

The playbooks created by Darktrace help lower the technical skills required to respond to incidents by elevating the workload of the staff, tripling our capacity for incident response.

Realistic attack simulations upskill teams while saving resources

We have differing levels of experience on the team which means some members know exactly what to do during incident response while others are slower and need more guidance. Thus, we have to either outsource skilled security professionals or add a security solution that could lower the technical skills bar.

You don’t want to be second guessing and searching for the right move – it’s urgent – there should be certainty. Our goal with running attack simulations is to test and train our team's response capabilities in a “realistic” scenario. But this takes considerable time to plan and execute or can be expensive if outsourced, which can be a challenge for organizations short on resources. 

Darktrace provides AI-assisted incident response and cyber-attack simulation using AI that understands the organization to run simulations that effectively map onto the real digital environment and the assets within it, providing training for actual incidents.

It is one thing to sit together in a meeting and discuss various outcomes of a cyber-attack, talking through the best response strategies. It is a huge benefit being able to run attack simulations that emulate real-world scenarios.

Our team can now see how an incident would play out over several days to resemble a real-world scenario or it can play through the simulation quickly to ascertain outcomes immediately. It then uses these insights to strengthen its technology, processes, and training.

AI-Powered Incident Response

Darktrace helps my security team save resources and upskill staff using AI to generate bespoke playbooks and run realistic simulations. Its real-time understanding of our business ensures incident preparedness and incident response are tailored to not only the specific threat in question, but also to the contextual infrastructure of the organization.  

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About the author
Jamie Woodland
Head of Technology at Community Housing Limited

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Beyond DMARC: Navigating the Gaps in Email Security

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29
Feb 2024

Email threat landscape  

Email has consistently ranked among the most targeted attack vectors, given its ubiquity and criticality to business operations. From September to December 2023, 10.4 million phishing emails were detected across Darktrace’s customer fleet demonstrating the frequency of attempted email-based attacks.

Businesses are searching for ways to harden their email security posture alongside email providers who are aiming to reduce malicious emails traversing their infrastructure, affecting their clients. Domain-based Message Authentication (DMARC) is a useful industry-wide protocol organizations can leverage to move towards these goals.  

What is DMARC?

DMARC is an email authentication protocol designed to enhance the security of email communication.

Major email service providers Google and Yahoo recently made the protocol mandatory for bulk senders in an effort to make inboxes safer worldwide. The new requirements demonstrate an increasing need for a standardized solution as misconfigured or nonexistent authentication systems continue to allow threat actors to evade detection and leverage the legitimate reputation of third parties.  

DMARC is a powerful tool that allows email administrators to confidently identify and stop certain spoofed emails; however, more organizations must implement the standard for it to reach its full potential. The success and effectiveness of DMARC is dependent on broad adoption of the standard – by organizations of all sizes.  

How does DMARC work?

DMARC builds on two key authentication technologies, Sender Policy Framework (SPF) and DomainKeys Identified Mail (DKIM) and helps to significantly improve their ability to prevent domain spoofing. SPF verifies that a sender’s IP address is authorized to send emails on behalf of a particular domain and DKIM ensures integrity of email content by providing a verifiable digital signature.  

DMARC adds to this by allowing domain owners to publish policies that set expectations for how SPF and DKIM verification checks relate to email addresses presented to users and whose authenticity the receiving mail server is looking to establish.  

These policies work in tandem to help authenticate email senders by verifying the emails are from the domain they say they are, working to prevent domain spoofing attacks. Key benefits of DMARC include:

  1. Phishing protection DMARC protects against direct domain spoofing in which a threat actor impersonates a legitimate domain, a common phishing technique threat actors use to trick employees to obtain sensitive information such as privileged credentials, bank information, etc.  
  2. Improving brand reputation: As DMARC helps to prevent impersonation of domains, it stands to maintain and increase an organization’s brand reputation. Additionally, as organizational reputation improves, so will the deliverability of emails.
  3. Increased visibility: DMARC provides enhanced visibility into email communication channels, including reports of all emails sent on behalf of your domain. This allows security teams to identify shadow-IT and any unauthorized parties using their domain.

Understanding DMARC’s Limitations

DMARC is often positioned as a way for organizations to ‘solve’ their email security problems, however, 65% of the phishing emails observed by Darktrace successfully passed DMARC verification, indicating that a significant number of threat actors are capable of manipulating email security and authentication systems in their exploits. While DMARC is a valuable tool in the fight against email-based attacks, the evolving threat landscape demands a closer look at its limitations.  

As threat actors continue to innovate, improving their stealth and evasion tactics, the number of attacks with valid DMARC authentication will only continue to increase in volume and sophistication. These can include:

  1. Phishing attacks that leverage non-spoofed domains: DMARC allows an organization to protect the domains that they own, preventing threat actors from being able to send phishing emails from their domains. However, threat actors will often create and use ‘look-a-like’ domains that closely resemble an organization’s domain to dupe users. 3% of the phishing emails identified by Darktrace utilized newly created domains, demonstrating shifting tactics.  
  2. Email Account Takeovers: If a threat actor gains access to a user’s email account through other social engineering means such as credential stuffing, they can then send phishing emails from the legitimate domain to pursue further attacks. Even though these emails are malicious, DMARC would not identify them as such because they are coming from an authorized domain or sender.  

Organizations must also ensure their inbound analysis of emails is not skewed by successful DMARC authentication. Security teams cannot inherently trust emails that pass DMARC, because the source cannot always be legitimized, like in the event of an account takeover. If a threat actor gains access to an authenticated email account, emails sent by the threat actor from that account will pass DMARC – however the contents of that email may be malicious. Sender behavior must be continuously evaluated and vetted in real time as past communication history and validated DMARC cannot be solely relied upon amid an ever-changing threat landscape.  

Security teams should lean on other security measures, such as anomaly detection tools that can identify suspicious emails without relying on historical attack rules and static data. While DMARC is not a silver bullet for email security, it is nevertheless foundational in helping organizations protect their brand identity and must be viewed as an essential layer in an organization's overall cyber security strategy.  

Implementing DMARC

Despite the criticality of DMARC for preserving brand reputation and trust, adoption of the standard has been inconsistent. DMARC can be complex to implement with many organizations lacking the time required to understand and successfully implement the standard. Because of this, DMARC set-up is often outsourced, giving security and infrastructure teams little to no visibility into or control of the process.  

Implementation of DMARC is only the start of this process, as DMARC reports must be consistently monitored to ensure organizations have visibility into who is sending mail from their domain, the volume of mail being sent and whether the mail is passing authentication protocols. This process can be time consuming for security teams who are already faced with mounting responsibilities, tight budgets, and personnel shortages. These complexities unfortunately delay organizations from using DMARC – especially as many today still view it as a ‘nice to have’ rather than an essential.  

With the potential complexities of the DMARC implementation process, there are many ways security and infrastructure teams can still successfully roll out the standard. Initial implementation should start with monitoring, policy adjustment and then enforcement. As business changes over time, DMARC should be reviewed regularly to ensure ongoing protection and maintain domain reputation.

The Future of Email Security

As email-based attacks continue to rise, the industry must recognize the importance of driving adoption of foundational email authentication protocols. To do this, a new and innovative approach to DMARC is needed. DMARC products must evolve to better support organizations throughout the ongoing DMARC monitoring process, rather than just initial implementation. These products must also be able to share intelligence across an organization’s security stack, extending beyond email security tools. Integration across these products and tools will help organizations optimize their posture, ensuring deep understanding of their domain and increased visibility across the entire enterprise.

DMARC is critical in protecting brand identity and mitigating exact-domain based attacks. However, organizations must understand DMARC’s unique benefits and limitations to ensure their inboxes are fully protected. In today’s evolving threat landscape, organizations require a robust, multi-layered approach to stop email threats – in inbound mail and beyond. Email threats have evolved – its time security does too.

Join Darktrace on 9 April for a virtual event to explore the latest innovations needed to get ahead of the rapidly evolving threat landscape. Register today to hear more about our latest innovations coming to Darktrace’s offerings. For additional insights check out Darktrace’s 2023 End of Year Threat Report.

Credit to Carlos Gray and Stephen Pickman for their contribution to this blog

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About the author
Carlos Gray
Product Manager

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