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AI Deep Dive Part 1: The History of AI

Arete Analysis

Cyber Threats

Artificial intelligence (AI) is a subset of computer science that focuses on creating systems that can replicate human intelligence and problem-solving capabilities. This is accomplished by feeding large amounts of data into machine learning models (MLMs) and processing the data. The result is technology that can simulate human learning, comprehension, problem-solving, decision-making, creativity, and autonomy.

While often seen as new, cutting-edge technology, AI has been around far longer than most would think. While the concept of AI goes back to ancient philosophers theorizing on life and death, AI as we know it began in the early 1900s. The conception of what AI is began to be portrayed in science fiction by various authors and artists throughout the early 1900s prior to what is commonly known as “the birth of AI.”

AI Through the Ages

  • The Birth of AI: 1950 – 1956

Computer scientists such as Alan Turing, Arthur Samuel, and John McCarthy set the stage for the beginning of AI. Turing published “Computer Machinery and Intelligence,” which annotated a test of machine intelligence called the Imitation Game. Turing theorized that any machine able to fool a human judge would be classified as artificial intelligence.

  • AI Maturation: 1957 – 1979

The next twenty years showed little growth for AI at a technical level. While the concept of AI became popular in pop culture, funding-backed research was minimal during this period. However, that is not to say that strides towards what AI is today were not made. The first programming languages were created, paving the way for future development. The first AI chatbot was created, which adopted a new approach to AI that we now call deep learning, and the first examples of an autonomous vehicle were created.

  • AI Boom: 1980 – 1987

During the seven-year period known as the AI boom, government funding and associated research significantly increased. The first Association for the Advancement of Artificial Intelligence (AAAI) conference was held at Sanford, and the first driverless car demonstrated its ability to drive up to 55 mph on empty roads.

  • AI Winter: 1987 – 1993

Overall, funding and interest in AI decreased during this period, leading to fewer advancements in the technology than in years prior.

  • AI agents: 1993 – 2011

Despite the initial lack of investment in AI, the technology as a whole significantly increased its capabilities during this time period. Most notably, this is when AI began being integrated into people’s daily lives with items such as the Roomba and the release of Apple’s virtual assistant, Siri.

  • Early Generative Artificial Intelligence: 2012 – Present

This brings us up to the current state of AI. The last decade has shown impressive leaps in AI’s ability to aid humans in day-to-day functions. This is also accompanied by enormous data collection from well-known companies that are able to train their AI models, which has led to the release of consumer-facing AI models such as ChatGPT, Copilot, and more.

Conclusion

AI as a whole is a fast-changing, fluid concept. Organizations regularly unveil new capabilities and breakthroughs. This was especially evident in the recent unveiling of Deepseek and the subsequent data privacy concerns. In a single day, this overturned the sector in one fell swoop. AI will likely remain a constantly changing field in the near term.

What’s Next?

Part 2 of Arete’s AI Deep Dive will examine the risks and benefits of organizations adopting AI into their business models

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Arete's 2026 Q1 Crimeware Report

Harness Arete’s unique data and expertise on extortion and ransomware to inform your response to the evolving threat landscape.

Article

CMS Vulnerability Leads to ClickFix Campaign

Threat actors compromised at least 700 education and technology websites in a recent ClickFix campaign by exploiting a critical SQL injection flaw (CVE-2026-26980) in the Ghost content management system (CMS). Adversaries combined the vulnerability with the ClickFix social engineering tactic to steal admin keys and inject a malicious JavaScript that delivers a fake Cloudflare or CAPTCHA verification pop-up, tricking victims into copying and pasting a malicious command into their systems.

What’s Notable and Unique

  • Rather than targeting the end user first, this campaign is unique in its initial exploitation of the system, followed by social engineering attempts. This hybrid attack style is likely being leveraged to bypass traditional defenses.

  • This recent campaign also highlights how trusted web properties can be weaponized at scale and coupled with unpatched CMS vulnerabilities. Rather than using the CMS compromise to perpetrate a single attack, threat actors turned it into a supply-chain attack that ultimately affected over 700 trusted websites.

Analyst Comments

As network defenders and their tools enhance threat detection capabilities, adversaries increasingly seek methods to bypass these defenses. By combining vulnerability exploitation, social engineering techniques, and staging for ancillary attacks, this campaign successfully bypassed traditional defenses and inflicted significant impact. Defending against hybrid cyberattacks requires comprehensive security controls beyond simply patching vulnerabilities. Organizations should focus on limiting movement within the environment, detecting abuse of trusted applications, and preventing end-user manipulation.

Sources

  • 700+ education and tech websites hijacked in huge ClickFix malware campaign

  • Under the engineering hood: Why Malwarebytes chose WordPress as its CMS

  • Think before you Click(Fix): Analyzing the ClickFix social engineering technique

  • Ghost CMS Vulnerability Exploited to Infect 700 Sites With ClickFix Malware

Article

Threat Actors Leverage Fake JPEG Files for Initial Access

In a recent campaign, researchers observed threat actors using fake JPEG image files as a delivery mechanism to initiate the deployment of additional malicious components. The false JPEG files are typically distributed via phishing emails or other social engineering-based lures, and are actually PowerShell-based malware that deploys a trojanized version of ConnectWise ScreenConnect to establish and maintain persistence in the compromised environment. 

What’s Notable and Unique

  • This campaign leverages JPEG images as the initial lure, where the images are not merely decoys but part of the infection workflow. Victims are typically led to download or open an image that triggers hidden execution logic or redirects them to a payload-delivery sequence that initiates later stages of the intrusion chain. 

  • The attack chain is designed to blend into legitimate environments, making detection more difficult. Execution typically relies on scripted or native Windows components, often including PowerShell or other living-off-the-land binaries, enabling fileless or near-fileless execution and reducing forensic artifacts on disk.

  • The multistage design ensures that the initial JPEG does not directly contain the full payload but instead triggers retrieval or decryption steps that progressively assemble the final malicious components in memory.

Analyst Comments

This campaign illustrates how threat actors continue to blur the line between legitimate file handling and malicious execution chains, indicating potential overlap with remote management or administrative tooling. The use of JPEG-based staging combined with script-based execution reflects a broader evolution toward a stealth-first intrusion design, in which file formats serve as triggers rather than payload containers.

Sources

  • OPERATION SILENTCANVAS : JPEG BASED MULTISTAGE POWERSHELL INTRUSION

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Cyber Risk and Insurance for Law Firms

In this episode of Bytes of Insight, host Vinny Sakore is joined by Laura Zaroski, Managing Director of the Law Firms Group at Gallagher, as they discuss the evolution of cyber risk for law firms. Tune in for firsthand insights on how to select the right cyber policy, the incident response process, and the nuances of ransom payments and sensitive data.