OpenAI Security Bots for Slack streamline SecDevOps

Generative AI continues to be used creatively, and this is yet another example. OpenAI has released three open-source security bots for Slack that streamline cybersecurity/SecDevOps team workflows. Incident Response, Software Development Life Cycle (SDLC), and Triage are the three bots now available on OpenAI’s GitHub repository.

All three bots are for use exclusively on Slack and integrate with OpenAI APIs to streamline cyber team workflows.

Each bot can be deployed independently or together for your environment. All bots are provided under the MIT open software license.

Let’s take a closer look at each Slackbot capability:

OpenAI Incident Response Slackbot

The Incident Response Slackbot automatically chats with users who have been in an incident alert. According to the readme, the bot can automatically reach out to the affected user (if desired), track the conversation in a support or tracking Slack thread, and summarize the incident.

OpenAI SDLC Slackbot

The SDLC Slackbot decides if a project requires a security review based on criteria you can configure.

The SDLC Slackbot can even integrate with Google Docs by selecting a Google Cloud project and grabbing your client ID from an OAuth 2.0 Client ID API configuration.

OpenAI Triage Slackbot

The Triage Slackbot triages inbound requests in a Slack channel to different sub-teams within your organization. The readme explains that inbound requests on a deployed Slack channel will allow users to report security concerns. If the category or request is supported, an autoresponse will be generated. If the response is outside of what Triage Slackbot can support within your organization or should be reported in a different Slack channel, the Slackbot will inform the user.

Security Slackbots fill a need: self-service and efficiency

If you might be wondering how much utility these Slackbots provide, it could be a lot on an organizational level. Whenever a Slackbot helps a user resolve an issue or redirect a request, one less touchpoint or support ticket is potentially created.

Whether a user wants to interact with an automated Slackbot is another story, but it’s probably too late, as automated, AI-assisted agents are on the rise across the enterprise.

These three security Slackbots are just three examples of how generative AI can increase efficiencies for cybersecurity teams and organizations. From Slackbots to AI-assisted cybersecurity incident detection and response, generative AI will continue to disrupt cybersecurity.