In a recent LinkedIn post, Chirag Goswami highlights a significant and concerning development in the cybercrime landscape: the emergence of PromptLock, the first known ransomware to leverage an AI model for generating its malicious code. Goswami’s analysis underscores the escalating sophistication of cyber threats and the challenges they pose to traditional defense mechanisms.
The Advent of AI-Generated Malicious Code
Goswami details how PromptLock operates, distinguishing it from conventional ransomware. The process begins with an attacker utilizing a local AI model, specifically mentioning the gpt-oss-20b model via the Ollama API, to generate malicious scripts. These AI-crafted scripts are then disseminated to victims through various vectors, including emails, direct downloads, or external media. Once executed on the victim’s system, the AI-generated code proceeds to encrypt files.
“This is AI-powered cybercrime in action.”
As Chirag Goswami points out, the core innovation lies in the AI’s capability to create novel malicious variants on demand. This dynamic code generation significantly complicates detection and defense efforts for cybersecurity professionals.
Lowering the Barrier to Advanced Attacks
A key concern raised by Goswami is the democratizing effect of AI on sophisticated cyberattacks. Previously, launching advanced ransomware campaigns required significant coding expertise. However, Goswami argues that AI support dramatically lowers this barrier.
“The shift: Attackers no longer need to code everything manually. AI can generate new malicious variants on demand, making detection and defense far harder.”
According to Chirag Goswami, this allows individuals with lower technical skill sets to orchestrate complex and damaging ransomware operations. This accessibility broadens the potential pool of cybercriminals capable of launching impactful attacks.
Implications for Cybersecurity Preparedness
Goswami emphasizes the critical need for organizations to adapt their security strategies to counter these AI-enhanced threats. He notes the potential for AI-generated code to evade signature-based detection systems, which are often designed to identify known malware patterns.
“The risk: Low-skilled attackers can now launch advanced ransomware campaigns with AI support.”
In response to these evolving threats, Goswami promotes proactive measures. He states that at Cybernara, the focus is on assisting organizations in preparing for these next-generation threats through strategies such as proactive monitoring, ensuring compliance, and robust incident response planning.
Building Resilience Against AI-Powered Threats
Chirag Goswami concludes his post by inviting connection for those seeking to enhance their resilience against AI-powered attacks. His insights serve as a crucial warning and a call to action for businesses and cybersecurity professionals to anticipate and prepare for the next wave of cybercrime, where artificial intelligence plays an increasingly central role.
📝 About This Content
This article is based on insights shared by Chirag Goswami on LinkedIn.
📅 Originally posted on September 12, 2026 | View original post on LinkedIn →