NewsPublished 29 Oct 2026

We are losing the AI race in security

Source Reddit BlueTeam

Discussion

This content discusses the competitive disadvantage faced by defenders in cybersecurity due to adversaries using uncensored, abliterated AI language models that automate reconnaissance, phishing, and exploit development. The post highlights the availability of such uncensored models through Silk Compute, which removes refusal behaviors and content filters, enabling more aggressive and unrestricted AI usage. No specific vulnerability or exploit is described.

r/Information_Security (opens in a new tab)u/silkcompute0 points0 comments

The people we defend against are running abliterated models locally, meanwhile I ask for a poc against my own lab box and get told it's against policy.

The other side automates recon, phishing and exploit dev with abliterated models, and we're stuck rephrasing prompts. So I switched to abliterated models myself (deepseek v4.1 flash and glm 5.3 flash with the refusal behavior stripped out).

Full disclosure, I built silkcompute to serve these because I couldn't find anyone hosting them properly, so I'm biased.

Curious where you all land on this

Impact

The impact is primarily strategic and operational, reflecting a disadvantage for defenders in cybersecurity who have limited access to uncensored AI models compared to adversaries. This may lead to increased efficiency and sophistication in attacks such as automated reconnaissance, phishing, and exploit development by threat actors. However, no direct technical vulnerability or exploit is identified.

Defensive guidance

No direct mitigation actions are applicable as this is not a specific vulnerability or exploit. Organizations should be aware of the evolving AI capabilities used by adversaries and consider policy and tooling adjustments if appropriate. The content does not provide or imply any vendor advisories or patches.

Summary

The discussion centers on the use of uncensored AI language models by threat actors to automate various offensive security tasks, including reconnaissance, phishing, and exploit development. Silk Compute offers API access to these abliterated models (e.g., Kimi K3.1, DeepSeek V4.1 Flash, GLM-5.3 Flash) without content moderation or refusal behaviors, contrasting with more restricted models used by defenders. This creates a perceived imbalance in the AI security race, where defenders face policy and tooling limitations while adversaries leverage more capable AI tools. The content is a commentary on this dynamic rather than a report of a specific security vulnerability or exploit.

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Discussion

AI analysisMachine-generated, updated 29 Oct 2026, 10:47 UTC

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