TL;DR: Sysdig says the JadePuffer campaign is the first fully agentic ransomware attack, with an LLM-driven agent exploiting CVE-2025-3248 and retrying failed steps to improve success, while Expel notes a human operator still directs the activity. The operational lesson is that agentic automation changes attack speed and persistence, but accountability and basic controls still matter most, per Expel.
NHIMG editorial — based on content published by Expel: Researchers claim first fully agentic ransomware, JadePuffer
Questions worth separating out
Q: What breaks when agentic ransomware is not in place to interrupt exploit and retry chains?
A: Defences often assume attackers need continuous manual control, which means repeated failures may look like isolated noise instead of a persistent intrusion attempt.
Q: Why do agentic ransomware campaigns still depend on human accountability?
A: Because the human operator chooses the target, initiates the workflow, and decides how far the attack should go.
Q: How can analysts tell whether AI-driven detection is actually working?
A: Look for case history, deployed detector counts, and evidence of live traffic catches tied to specific submissions.
Practitioner guidance
- Patch the initial exploit path Prioritise CVE-2025-3248 remediation across exposed systems and verify that compensating controls do not depend on manual operator awareness.
- Hunt for retry-loop behaviour Tune detection to flag repeated failed encryption attempts, repeated command execution, and abnormal task replays that suggest an agent is persisting after errors.
- Tighten recovery assumptions Validate offline backups, restore procedures, and decryption key storage so that a failed attacker workflow does not become a catastrophic recovery event.
What's in the full analysis
Expel's full article covers the operational detail this post intentionally leaves for the source:
- The article’s commentary on how the human operator’s role changes the way defenders should frame responsibility and incident attribution.
- The specific reasoning behind why the campaign looks amateurish, including the missing decryption key storage and extortion setup.
- The source discussion of how the AI agent retried failed attack steps and what that means for defender response timing.
- The article’s broader interpretation of why fundamentals still determine ransomware outcomes even when AI is part of the workflow.
👉 Read Expel's analysis of the JadePuffer agentic ransomware campaign →
JadePuffer and agentic ransomware: what defenders should actually change?
Explore further
Agentic ransomware does not eliminate the human attacker, it compresses the attacker workflow. The JadePuffer case should be read as an operator efficiency story, not as proof that AI has become an independent criminal actor. That distinction matters for governance because defenders respond to agency, incentives, and control points, not marketing language. Security teams should model agentic malware as a force multiplier on existing ransomware tradecraft, not a new category that invalidates established defensive priorities.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- Another finding from the same report shows that only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: Who is accountable when ransomware is executed through an LLM-driven agent?
A: Accountability still sits with the person who operated the attack chain, even if an LLM handled the repetitive work. Organisations should treat the agent as an execution mechanism and the human as the decision-maker. That distinction matters for incident response, legal review, and public attribution.
👉 Read our full editorial: JadePuffer shows how agentic ransomware still depends on human control