Systems and methods for facilitating tabletop exercises using collaboration rooms with dynamic tenancy

A system comprising:

• a processor and memory for storing executable instructions, the processor executing the instructions to:
• establish, via an orchestration service, a digital collaboration room for an entity, the entity having control to grant permissions to users regarding the digital collaboration room and to dynamically modify permissions of the users in real time, the orchestration service being a cloud resource where the digital collaboration room, owned by the entity, is hosted and made accessible to the users;
• receive, from the entity, an incident response plan;
• based on the incident response plan, generate a tabletop exercise having one or more injects, each inject comprising a simulation of a runtime scenario, each inject being locked or unlocked;
• store the tabletop exercise in a database;
• grant access and control of the tabletop exercise and the injects to a facilitator user, the facilitator user further configured to moderate participant users during an execution of the tabletop exercise;
• transmit invitations to one or more users that are invited to become a participant user of the tabletop exercise;
• upon receiving acceptance of the invitations by the one or more users to become the participant user, activate an isolate mode for the digital collaboration room, in which the participant user is notified or re-routed to access the digital collaboration room by way of the participant user's backup email account;
• grant participant tokens and corresponding permissions relating to the digital collaboration room to the participant user;
• receive a request from the facilitator user to unlock a locked inject of the tabletop exercise;
• unlock the locked inject and retrieve data relating to the unlocked inject from the database for the digital collaboration room, thereby granting access to the data relating to the unlocked inject to the participant user;
• receive a response from the participant user regarding the data relating to the unlocked inject;
• based on the response from the participant user, generate feedback regarding the incident response plan, the feedback obtained from a recommendation machine learning model trained to identify gaps in the incident response plan and provide recommendations to improve the incident response plan;
• and
• refine the incident response plan, based on the response from the participant user and the generated feedback.