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-[Red Teaming Custom Models via Collector](#red-teaming-custom-models-via-collector)
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-[AI App Inventory: Managed and Unmanaged](#ai-app-inventory-managed-and-unmanaged-assets)
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-[AI Widget Builder on Dashboard V3](#ai-widget-builder-on-dashboard-v3)
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@@ -89,6 +91,41 @@ Every collector row now carries a **Trigger Scan** action alongside the existing
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### Prompt Firewall Browser Plugin: Chrome and Firefox
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The AccuKnox Prompt Firewall is now available as a browser extension for Chrome (and Chromium-based browsers — Brave, Edge) and Firefox. The plugin sits between your browser and ChatGPT, intercepting every prompt and response before it travels to or from the model. If a prompt trips an active policy, a red banner appears inline. Prompts that clear all policies pass through silently with a green confirmation.
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This gives organizations direct control over how employees interact with public AI assistants, without requiring any application-level SDK integration or proxy changes. Install it, paste your integration token from **AI Security > Integrations**, and policies you have already configured in AccuKnox apply immediately.
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A blocked prompt surfaces a red banner inline in ChatGPT, and an allowed prompt shows a brief green clearance — both without leaving the browser tab.
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Every intercepted prompt and response is logged under **AI Security > Request Log** with timestamp, direction (PROMPT or RESPONSE), verdict (ALLOW or BLOCK), content preview, and latency. The log is searchable, filterable by verdict or direction, and exportable as JSON.
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**Installation guides:**
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-[Chrome, Brave, and Edge →](/integrations/openai-browser-integration/)
Firefox loads the extension as a temporary add-on via `about:debugging`. It will unload when the browser restarts. Contact AccuKnox support if you need a permanent deployment option for Firefox.
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### Red Teaming Custom Models via Collector
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AccuKnox supports cloud-based onboarding to scan and red team every model deployed across an AWS Bedrock account. The Collector method is a lighter alternative for targeting a specific model on Bedrock without onboarding the entire cloud account or organization.
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-**Targeted scope:** Red team a single Bedrock model instead of every model in the account.
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-**No account onboarding needed:** Works directly against the model's inference endpoint using a Bedrock API key.
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-**Fast setup:** A single Custom Model collector covers the connection, prompts, and schedule.
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-**Flexible:** The same flow works for any LLM exposed over an HTTP endpoint, not just Bedrock.
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[Set up red teaming for a custom model →](/how-to/aiml-bedrock-collector/)
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### AI App Inventory: Managed and Unmanaged Assets
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AI/ML inventory now splits cleanly between **Managed** assets (models hosted by your cloud providers such as Bedrock foundation models) and **Unmanaged** assets (Python and Node packages, local dependencies, and models pulled into arbitrary VMs).
@@ -294,9 +331,6 @@ The following items shipped or partially shipped in v3.5 but are not yet documen
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- **SSPM (SaaS Security Posture Management)** — Owner: Ayush. Collector is exposed in the Add Collector flow but no PRD or validation context yet. Need product scope, supported SaaS apps, and screenshots.
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- **Nessus Web Host Endpoint Findings** — Owner: Ayush. Web-finding data type added on the Nessus integration; need a tenant with live data, finding detail screenshots, and parser coverage notes.
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### AI Security
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- **Bedrock and Custom-Model Red Teaming via Collector** — Owner: AI team. The Custom Model option under LLM Red Teaming accepts a Bedrock endpoint URL, but the **Predefined Prompts / Custom** toggle is mislabelled and the documentation of supported endpoints is incomplete. Need the corrected UX and a working end-to-end example.
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AccuKnox v3.5 sharpens coverage where security teams spend the most time, pipelines, cloud assets, ticketing hygiene, and AI workloads, while opening the platform to Japanese and Korean speakers.
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