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AI Deep Dive Part 2: Data Privacy Concerns

Arete Analysis

Cybersecurity 101

A few weeks ago, Arete’s Threat Intelligence team outlined the history of artificial intelligence (AI). Today, we continue that conversation, exploring data privacy concerns associated with AI tools. AI use cases are often showcased to consumers without warning of potential dangers in their application. When a service is free, your data is often the cost of entry.

Today, we dive into three key elements of data privacy concerns in AI:

  • What information are you exposing publicly?

  • What data are you putting into AI applications?

  • And finally, how are you storing your data? 

Operations Security (OPSEC): What information are you exposing publicly?

The public release of information can lead to both positive and negative outcomes. Classification by compilation, in which a series of seemingly harmless pieces of information are pieced together in open source, leading to exposure of proprietary, sensitive information, gives credence to the age-old saying, “Loose lips sink ships.”

You may be wondering what this has to do with AI. Any information posted publicly can be used by developers to train AI algorithms. This could lead organizations to aid their competitors indirectly, should they choose to use the same AI platforms. An example of this is a 2023 lawsuit filed by artists against a number of companies that own AI image-generating tools. The artists argued that the AI companies used their art to train algorithms without the artists being properly compensated. The court ultimately ruled against the artists, demonstrating that it is extremely difficult to prove what data was used to train AI algorithms.

What data are you putting into AI applications?

As the use of AI continues to expand, users should carefully consider what data they are exposing. When using popular public-facing AI platforms, such as those created by OpenAI, Microsoft, and Amazon, users must be aware of the type of data they input. Sensitive data, including client information, PII, and trade secrets, should not be used to prompt public-facing AI tools. Inputs into these tools are used to further train the algorithm and develop these tools.

How are you storing your data?

When an organization decides to create or collaborate on a new AI model, large amounts of data are required to train it. When considering where to store such data, cloud storage appears as an attractive option. However, it is also important to consider the options and risks associated with data storage.

One example of such risk is the May 2024 data breach suffered by cloud-based data storage company Snowflake.

The threat actor responsible for the breach, UNC5537, subsequently extorted Snowflake, leading to at least $2.7 million in ransom payments for data suppression. This attack was primarily driven by compromised credentials without MFA, demonstrating the need for organizations to not only assess their third-party risk exposure but also continually implement security best practices.

Conclusion

AI is a powerful tool for organizations looking to enable employees to work within their strengths and increase efficiency. However, the improper use of AI can have disastrous effects. It is important for organizations to develop policies and training on the implementation and use of AI to set employees up for success and ensure the security of their environments. Tune in next week for the final installment of Arete’s AI Deep Dive: Understanding Biases & How Threat Actors Use AI.

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Article

Ransomware Trends & Data Insights: July 2026

INC Ransom was the most active threat group in July, while activity remained relatively distributed among multiple threat groups, with 19 unique groups observed throughout the month. Alongside INC Ransom, Qilin, Global Secret Group, Anubis, and DragonForce rounded out the five most active threat groups observed in July. Several emerging threat actors were also observed during the month, including Booba Team, Settra, and Global Secret Group.

Figure 1. Activity from the top 3 threat groups in July 2026

 Throughout the month, analysts at Arete identified several trends behind the threat actors perpetrating cybercrime activities:

  • In July 2026, Global Secret Group emerged as a new threat actor, leveraging the leaked LockBit 3.0 (LockBit Black) source code. Although the group began operations in June 2026, it quickly accumulated a substantial number of victims on its data leak site (DLS). The group operates through TOR-based negotiation portals and qTox communications. Notably, its DLS provides step-by-step guidance on purchasing Bitcoin, including references to Coinbase and Binance, demonstrating a streamlined, victim-focused extortion process designed to simplify ransom payments.

  • Similar to Fulcrumsec, the recently emerged Settra ransomware group appears to leverage AI-driven analysis of stolen data, publishing detailed and highly structured victim reports on its DLS. Additionally, a potential EDR-disabling tool, edr_blind.exe, was identified in multiple cases, suggesting a focus on defense-evasion capabilities.

  • With the continuation of the FortiBleed campaign, researchers have now identified compromised FortiGate credentials being leveraged by both the INC and Lynx ransomware operations. Analysis revealed direct operational links between the groups, including shared ransomware infrastructure and overlap between FortiBleed victims and ransomware targets. The operators are also incorporating AI to enhance various stages of the attack lifecycle and increase operational efficiency and scale. Notably, Arete also observed an INC ransomware intrusion leveraging FortiBleed-derived access in July, reinforcing the campaign's role as a precursor to ransomware deployment.

Sources

  • Arete Internal

Podcast

Cyber Campfire: June Threat Trends & Insights

In this episode of Arete’s Cyber Campfire podcast, our Threat Intelligence Team discusses trends, statistics, and emerging threat actors from June 2026. Tune in for firsthand insights on today’s threat landscape that can enhance your approach to cyber risk.

Article

Current: Misconfigured Server Reveals Multiple Phishing Campaigns

Researchers uncovered three Microsoft 365 phishing campaigns after discovering a misconfigured HTTP server that exposed a threat actor’s phishing tools, configurations, victim logs, and operational infrastructure. The investigation revealed two operators using custom Evilginx-based adversary-in-the-middle (AiTM) phishing frameworks to steal authentication sessions and bypass MFA protections. A third operator abused Microsoft’s OAuth Device Code flow by tricking victims into completing authentication through Microsoft’s legitimate login process, allowing attackers to obtain valid access and refresh tokens without stealing passwords. The largest campaign compromised at least 218 victims across 12 countries, primarily targeting corporate Microsoft 365 accounts, with refresh tokens enabling persistent access. Researchers also identified the use of remote management tools for maintaining access, AI-assisted development of phishing tooling, and links to broader Phishing-as-a-Service (PhaaS) ecosystems, highlighting how commodity frameworks and automation are lowering the barrier for sophisticated identity-based attacks.

What’s Notable and Unique

  • The campaigns demonstrate the continued shift from traditional credential theft to identity- and token-based compromise, in which attackers target authentication sessions, cookies, and OAuth tokens rather than relying solely on password theft. By obtaining valid authentication artifacts, attackers can access Microsoft 365 environments while bypassing conventional MFA protections.


  • The use of Evilginx-based AiTM frameworks highlights how publicly available phishing tools have evolved into effective MFA-bypass platforms. These frameworks proxy legitimate login pages, capture authenticated sessions, and allow attackers to reuse valid sessions without requiring victims’ credentials again.


  • The OAuth Device Code flow abuse represents a different attack method, in which attackers leverage a legitimate Microsoft authentication mechanism to obtain tokens after victims approve the request. This approach bypasses password theft entirely by abusing trusted authentication workflows.


  • The exposed infrastructure provided insight into attacker operations, including phishing configurations, victim tracking data, remote administration tools, and evidence of AI-assisted development. The findings demonstrate how phishing ecosystems now provide reusable tooling and automation that reduce the technical expertise required to conduct large-scale identity attacks.

Analyst Comments

These Microsoft 365 phishing campaigns demonstrate the ongoing evolution of identity-focused attacks, as adversaries increasingly target authentication sessions, tokens, and legitimate cloud authorization mechanisms to bypass traditional security controls. The combination of AiTM phishing, OAuth abuse, remote management tools, and PhaaS infrastructure enables threat actors to maintain persistent access while blending into legitimate cloud activity.

The growing availability of phishing frameworks and AI-assisted attack development highlights the need for continuous identity security improvements beyond traditional phishing defenses. Arete recommends that organizations strengthen identity monitoring, adopt phishing-resistant MFA where possible, review OAuth application permissions, monitor token activity, and implement conditional access policies to detect and restrict suspicious Microsoft 365 authentication behavior. Security teams should also monitor post-compromise indicators such as abnormal mailbox access, suspicious application consent, unauthorized remote tools, and unusual sign-in activity.

Sources

  • One Misconfigured Server, Three Active Campaigns: Full exposure of three AiTM Phishing Operators

  • Misconfigured Server Reveals Three Evilginx Phishing Operations Targeting Microsoft 365

Podcast

Digital Forensics Meets the Courtroom: Insights on Expert Witness and Cyber-Related Litigation

In this episode of Bytes of Insight, host Vinny Sakore and special guest Dr. Bruce Hartley, Managing Director and Co-Founder of Advisory Services at Arete, discuss the evolving role of digital forensics and expert witness work in cybersecurity litigation. Tune in for firsthand insights on how Arete conducts post-breach investigations, what it takes to undergo cross-examination on the stand, and how emerging threats like AI-driven social engineering and third-party breaches are reshaping the advisory landscape.