ZeroHour

Source: Help Net Security

6 stories in the last 3d

Uncensored AI sold on hacking forum as alternative to ChatGPT and Claude jailbreaks

Sophos found Luciferus, an uncensored AI subscription service likely built on Qwen, sold on the Exploit forum and capable of generating working malware code.

Sophos Counter Threat Unit found an ad for 'Luciferus' posted August 24 on the Exploit forum by a persona named 'Optimus_Prime', claiming a proprietary 120-billion-parameter model that answers requests without ethical restrictions. Sophos assesses with low confidence it is based on Alibaba's open-source Qwen family. Forum tiers cost $35-$75/month, while the website lists Junior/Middle/Pro tiers at $22-$47.14; a test prompt on the Junior tier returned Python remote access trojan source code. Sophos warns such services lower barriers for less skilled cybercriminals and outlast jailbroken mainstream LLMs.

Microsoft sets security and safety rules for its AI models

Microsoft AI published a draft Humanist AI Code of Conduct setting safety rules and human-control requirements for its models, open for public consultation.

Microsoft AI released the first draft of its Humanist AI Code of Conduct, open for six weeks of public consultation, with a revised version expected later this year to guide model training from 2027 onward. The Code sets Absolute Constraints barring model assistance with chemical, biological, radiological, nuclear, and explosive weapons, offensive cyber operations, CSAM, malicious deepfakes, and mass civilian surveillance, while permitting authorized defensive cybersecurity work such as vulnerability discovery, malware analysis, and PoC exploit testing. It establishes an instruction hierarchy where the Code takes precedence over operator policies and user instructions, plus Human Control Requirements covering shutdown compliance, least privilege, and no autonomous goal initiation. MAI models will undergo red-teaming, safety evaluations, and pre- and post-deployment reviews; current models have not yet been trained on the Code.

Akuity gives AI agents operational context to safely ship software

Akuity launches Agentic Control Plane and MCP Server to govern AI agent actions inside production software delivery pipelines.

Akuity introduced an Agentic Control Plane and MCP Server that lets AI agents such as Claude, Codex, and Cursor access deployment and cluster context under existing identity, permission, and audit controls. MLB reported the product identified over 100 degraded applications within hours. Akuity positions it against open-source MCP servers granting raw access with no identity inheritance or policy layer.

Help Net Security · 13h agoAI tools & infra

Traefik Labs brings independent verification to AI agent governance

Traefik Labs announces Sovereign Trust Plane in Traefik Hub, adding verifiable delegation, policy enforcement, and tamper-evident audit records for AI agent traffic.

Traefik Labs announced the Sovereign Trust Plane for Traefik Hub, generally available by September 30, 2026, providing delegated access, policy enforcement, and tamper-evident records for AI agent, tool, and API traffic. It implements the IETF ID-JAG draft with Okta Cross App Access and Janssen, enforces decisions through OpenID AuthZEN with OpenFGA and Cerbos, and commits cryptographic log fingerprints to transparency checkpoints verified by independently administered witnesses. The gateway also extends enforcement to MCP tool calls and the MCP server's backend API connection.

Help Net Security · 14h agoAI tools & infra1

Airrived adds Agentic Observability to track AI agent actions and risks

Airrived launches Agentic Observability to give enterprises end-to-end visibility into AI agent actions, permissions, data flows, and costs.

Airrived announced Agentic Observability, an expansion of its enterprise Agentic OS that traces the full agentic lifecycle from enterprise data ingestion through agent reasoning to business outcomes. The platform surfaces each agent's creator, owner, permissions, permitted actions, and human-in-the-loop approval requirements, and tracks movement of PII, PCI, and PHI across agentic workflows. It also adds token- and model-consumption tracking to turn AI spending into measurable AI FinOps.

Help Net Security · 1d agoAI industry

AWS puts AI vulnerability detection to the test, and false positives pile up

AWS publicly released its Deception Benchmark (14,822 samples) showing leading AI models falsely flag 41-99% of safe code as vulnerable.

AWS released its Deception Benchmark publicly, containing 14,822 samples across 16 programming languages and more than 70 CWE categories, with 9,695 scored samples split into 6,988 code-level and 2,707 environment-gated challenges. AWS evaluated 12 models from five providers using single-turn prompts and found none met its production bar of below 10% for both false-positive and false-negative rates. With direct prompting, models caught nearly all real vulnerabilities but incorrectly flagged 41% to 99% of safe code, with precision between 52% and 71%. Asking models to prove exploitability reduced false positives by 17 to 74 percentage points but raised false-negative rates to 7-44%, with models struggling most when external controls like Kubernetes Network Policies blocked apparent exploits.

Help Net Security · 1d agoAI research