Topic starter
18/08/2026 2:39 pm
TL;DR: JadePuffer's retry logic makes the attack more reliable, and Expel ties that to a human operator still steering the campaign. Ransomware workflows now need tighter exploit reduction, access governance, and recovery readiness because repeated attempts can turn a partial foothold into encryption.
Editorial analysis by NHI Mgmt Group, based on content published by Expel: “The “first” fully agentic ransomware is here, but we aren’t panicking (yet): Meet JadePuffer”.
By the numbers:
- The article says the campaign exploited CVE-2025-3248 and then retried failed steps to improve success.
Key questions
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: What are the signs that agentic attack tooling is amplifying a ransomware intrusion?
A: Look for short-interval retries, repeated task failures followed by immediate alternate attempts, and a faster transition from initial access to encryption activity than your environment usually sees.
Q: What fails when ransomware operators add an LLM to their attack workflow?
A: The failure is usually not the model itself but the speed and adaptability it adds to an already valid intrusion path.
Practitioner guidance
- Harden known exploit entry points Patch and isolate the software paths that would let an adversary reach a ransomware foothold, with special attention to externally exposed services and proof-of-concept exploits like CVE-2025-3248.
- Detect repeated failed attack steps Tune detection for rapid retry patterns, repeated command failures, and short-interval replays that suggest an agent is adapting instead of a human manually troubleshooting.
- Separate operator accountability from AI tooling Keep incident analysis focused on who controlled the campaign, what access they used, and which steps were human-directed versus machine-executed.
Bottom line: JadePuffer shows that agentic ransomware can speed up execution, but it still depends on a human operator and ordinary exploit conditions.
Glossary terms: Agentic Ransomware, Detection-Response Latency, Standing Access, Operator-Controlled AI Attack
Explore further
View Full Forum → | NHI Foundation Course → | Our Services → | Read the full analysis →
This topic was modified 1 day ago by NHI Mgmt Group
18/08/2026 3:23 pm
Agentic ransomware is an execution model, not a replacement for criminal tradecraft: the critical change is that the attack can be iterated by software while the operator still directs the campaign. That means defenders should not over-index on whether the attack is 'fully autonomous'. They should ask which parts of the intrusion chain are now machine-accelerated and which remain human-controlled, because accountability and containment still sit with the threat actor.
A few things that frame the scale:
- AI-related credential leaks surged 81.5% year-over-year in 2025, with the surrounding AI infrastructure leaking 5x faster than core LLM providers, according to the State of Secrets Sprawl 2026.
A question worth separating out:
Q: How should security teams compare agentic ransomware with traditional ransomware operations?
A: Traditional ransomware is often a scripted or manually driven intrusion chain, while agentic ransomware can modify its own execution sequence during the attack. The distinction matters operationally, but both still depend on access, privilege, and a successful extortion path. Defenders should not treat agentic behaviour as a new category of control failure.
👉 Read our full editorial: JadePuffer shows how agentic ransomware still depends on human control