Criminal AI-as-a-Service in 2026: How the Underground Market Is Operationalizing Cybercrime


The underground market for criminally oriented generative AI has moved beyond the early hype surrounding ‘malicious chatbots.’ The gradual integration of AI as a productivity layer within cybercrime operations has become the dominant story, indicating that while the potential for fully autonomous AI hacking systems is possible, attackers are not embracing them as expected. Instead, threat actors are increasingly using AI to accelerate routine, but operationally significant, tasks to scale their operations. Drafting phishing lures, profiling targets, debugging code, generating forged documents, modifying malware, translating victim communications, and processing stolen data at scale were once time-consuming activities that AI has made significantly easier. AI does not replace cybercriminals; it lowers friction, increases speed, and expands the range of actors able to perform tasks that previously required more time, skill, or external support.

Read more…
Source:  Rapid7 News


Sign up for the Cyber Security Review Newsletter
The latest cyber security news and insights delivered right to your inbox


Related:

  • Inside Malware Markets: Current Trends and Competitive Forces

    July 30, 2019

    Regardless of location, legitimacy, or legality, markets of all kinds act in accordance with a prevailing set of forces. Made famous by business management guru Michael Porter, his eponymous Five Forces generally dictate how markets will operate — that includes markets for malware. Porter’s Five Forces Rivalry Among Existing Competitors Bargaining Power of Suppliers Bargaining Power of Buyers Threat of ...

  • Multistage Attack Delivers BillGates/Setag Backdoor, Can Turn Elasticsearch Databases into DDoS Botnet ‘Zombies’

    July 23, 2019

    Elasticsearch is no stranger to cybercriminal abuse given its popularity and use to organizations. In fact, this year’s first quarter saw a surge of attacks — whether by exploiting vulnerabilities or taking advantage of security gaps — leveled against Elasticsearch servers. These attacks mostly deliveredcryptocurrency-mining malware, as in the case of one attack we saw last year. The latest attack we spotted deviates from the ...

  • Cybercrime gang adds new tactics to credit card data-stealing campaign

    July 23, 2019

    A hacking operation has deployed new malware in the latest evolution of its campaign to make money by stealing credit card data. The FIN8 cybercrime group was first identified in January 2016, and typically targets point-of-sale (POS) systems with malware attacks designed to steal credit card information, which is then sold on for profit on dark ...

  • 5th Annual Global Cyber Security Forum – Lebanon

    July 23, 2019

    Press Release Taking in cognisance the evolving cyber threats across the globe, several nations have formed committee’s & taskforces to implement the best strategies to fight cybercrimes. These task forces are destined to ensure the nation’s assets are protected against any threats by implementing best policies & state-of-the-art solutions, whilst creating a robust ecosystem for ease ...

  • Lancaster University students’ data stolen by cyber-thieves

    July 23, 2019

    Students’ personal data has been stolen in a “sophisticated and malicious” phishing attack at Lancaster University. Officials said the information had been used to send bogus invoices to applicants. “A very small number” of student records, phone numbers and ID documents were also accessed, it said. The breach has been reported to police and the Information Commissioner’s Office. In ...

  • Massive 7.5TB breach reveals secret Russian IT projects

    July 22, 2019

    Hackers breached the server of a major contractor working on behalf of the Russian intelligence service before stealing 7.5TB of sensitive data and sharing this freely with other hackers and journalists. Attackers infiltrated the company network of SyTech on 13 July, according to BBC Russia, and began a process of copying data while deleting masses of it. ...