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Update readme and metadata text (#17772)
* Update readme and metadata text (#17712) * Update readme and metadata text * Fix typo in resolutionprocess * Use the updated copy from marketing team * Add release note * added docker image update to RN * docker image update to integration * revert mistaken changed file * revert mistaken changed file * dummy Co-authored-by: Long Tan <[email protected]> Co-authored-by: yucohen <[email protected]>
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Packs/PenfieldAI/Integrations/Penfield/Penfield.yml

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script: '-'
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type: python
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subtype: python3
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dockerimage: demisto/python3:3.9.8.24399
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dockerimage: demisto/python3:3.10.1.25933
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fromversion: 6.0.0
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tests:
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- No tests (auto formatted)

Packs/PenfieldAI/Playbooks/Penfield_Assign.yml

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id: Penfield Assign
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version: -1
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name: Penfield Assign
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description: This playbook invokes PenfieldAI backend to assign incident to an online
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description: This playbook invokes Penfield.AI backend to assign incident to an online
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analyst.
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starttaskid: "0"
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tasks:

Packs/PenfieldAI/Playbooks/Penfield_Assign_README.md

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Invokes PenfieldAI backend to assign the incident to an online analyst.
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Invokes Penfield.AI backend to assign the incident to an online analyst.
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## Dependencies
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This playbook uses the following sub-playbooks, integrations, and scripts.

Packs/PenfieldAI/README.md

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Penfield automatically assigns incidents within the SOC to the appropriate Analyst, to improve the overall speed and accuracy of the incident resolution process. In order to interpret the decision making process, Penfield ingests incident data from XSOAR and combines it with Analyst Interaction data, such as; processes and skills, paired with real-time factors such as active memory, experience, and queue. Based on a command and script, XSOAR is then able to provide the name of the Analyst best suited to respond to the incident.
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Penfield.AI uses Human-Machine Intelligence (HMI) to automate Incident Assignment within the Security Operations Center, to the most appropriate analyst qualified to resolve an incident based on their Skillset, alert queue, as well as speed and accuracy.
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An XSOAR command and a script are available as part of this integration.
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_This Content Pack is used to integrate Penfield.AI Incident Assignment for XSOAR. You will need a production license to get the full value of this Content Pack_
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#### Why Penfield.AI
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Penfield.AI is the industry’s first Human-Machine Intelligence (HMI) platform to model cybersecurity analysts' actions and processes in real-time. Penfield automatically assigns incidents within the SOC to the most appropriate analyst, as result of modelling leveraging reinforcement learning and Human- Computer Interaction data. This will improve the overall speed and accuracy of the incident resolution process withing the SOC. Penfield.AI uses the incident data ingested from Cortex XSOAR, as well as the analysts’ interaction data collected from the supporting data sources to drive the intelligent alert assignment. Penfield.AI’s advanced AI model provides an output to Cortex XSOAR with the recommendation of the best analyst for a given incident. And the result is an improvement in both Mean Time to Resolve (MTTR) and in the accuracy of the resolved incidents.
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To obtain access to Penfield.AI Incident Assignment via Cortex XSOAR, please contact Penfield at [email protected]
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- https://penfield.ai/book-demo/
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#### Integrations
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##### Penfield
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- Documentation and metadata improvements.
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- Updated the Docker image to: *demisto/python3:3.10.1.25933*.
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#### Playbooks
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##### Penfield Assign
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- Documentation and metadata improvements.
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#### Scripts
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##### PenfieldAssign
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- Documentation and metadata improvements.
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- Updated the Docker image to: *demisto/python3:3.10.1.25933*.

Packs/PenfieldAI/Scripts/PenfieldAssign/PenfieldAssign.yml

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comment: "PenfieldAssign will use the Penfield integration's penfield-get-assignee command to determine who an incident should be assigned to, then print the selected analyst to the War Room and overwrite the owner property."
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comment: "PenfieldAssign will use the Penfield.AI integration's penfield-get-assignee command to determine who an incident should be assigned to, then print the selected analyst to the War Room and overwrite the owner property."
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commonfields:
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id: PenfieldAssign
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version: -1
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timeout: '0'
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type: python
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subtype: python3
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dockerimage: demisto/python3:3.9.8.24399
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dockerimage: demisto/python3:3.10.1.25933
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fromversion: 6.0.0
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dependson:
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must:

Packs/PenfieldAI/Scripts/PenfieldAssign/README.md

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!PenfieldAssign assign='No'
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#### Human Readable Output
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incident assigned to: charles
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incident assigned to: charles

Packs/PenfieldAI/pack_metadata.json

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{
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"name": "PenfieldAI",
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"description": "Penfield is the industry’s first human-machine intelligence platform to model Cybersecurity Analysts actions and processes in real-time.",
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"description": "Penfield.AI Incident Assignment for XSOAR",
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"support": "partner",
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"currentVersion": "1.0.0",
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"currentVersion": "1.0.1",
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"author": "Penfield.AI",
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"url": "https://penfield.ai/",
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"email": "[email protected]",
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"categories": [
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"Case Management"
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"Case Management",
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"Incident Response"
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],
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"tags": [],
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"created": "2021-09-28T21:56:05Z",
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"xsoar",
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"marketplacev2"
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]
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}
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}

Tests/known_words.txt

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Bambenek
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csv
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Cloudflare
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PenfieldAssign
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DShield
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Feodo
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Blocklist

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