AI agent platform for business teams

This automation investigates the actions performed during a single Azure Active Directory session after a suspicious event. It retrieves the relevant audit history, organizes key activity details into a Workbook, and shares the completed report back with the investigating team.

This automation enriches a medium-severity security alert by investigating indicators, alerts, detects, and device telemetry across the environment. It delivers a concise triage summary showing how widely a hash has executed, details for the primary host, and a recommendation on whether the activity is a widespread false positive or an isolated anomaly.

This scheduled automation refreshes reporting permissions, locates the configured workspace report, exports it as a presentation file, and emails the completed report to designated recipients. It replaces the recurring manual process of downloading and distributing reports with a consistent, scheduled delivery.

This automation receives incident data through a webhook, checks for related parent tickets, and creates a new ticket with the appropriate relationship or incident classification. It standardizes ticket creation for phishing, login failure, unknown IP, and parent-related incidents.

This automation reviews user-owned mobile devices in Google Workspace, identifies devices whose last synchronization is more than three months old, removes them, and posts a consolidated removal report in Slack. It replaces repeated inventory review, date comparison, deletion, and reporting with one automated process.

This scheduled automation gathers user access, administrative status, authentication, device, and membership details from multiple business systems, then consolidates them into a structured access review report. It formats, exports, and uploads the report as compliance evidence to the configured controls.

This automation analyzes suspicious emails across their headers, sender, attachments, URLs, email addresses, and domains, then consolidates the findings into a Jira case. It replaces fragmented investigation steps with a structured triage record containing a verdict and supporting evidence.

This automation initiates firmware upgrades for a designated list of firewalls, checks the result of each equipment upgrade, and tracks failures. After processing the list, it sends the team a summary of the upgrade results.

This scheduled workflow scans public-facing assets for vulnerabilities, filters for critical findings, enriches each qualifying CVE with vulnerability details and available proof-of-concept information, and then updates or creates the related Jira ticket. It assigns the issue to the appropriate team member and sends the assignee a notification with the ticket link and summary.

This scheduled automation continuously checks for newly published vulnerabilities, validates affected network exposure, and records the findings in a structured report. When relevant matches are found, it sends the report link and vulnerability context to a designated team channel for follow-up.

This scheduled automation retrieves newly released vulnerabilities, extracts the affected software and version, and assesses whether analyst action is needed. It records the enriched findings in a vulnerability database and notifies the review team when the scan is complete.

This automation evaluates incoming security incidents, checks for duplicate or related records, and performs structured triage with optional enrichment. It creates actionable incident tickets, remediation tasks, and broader incident groupings so analysts can work from a consistent, correlated case record.

This automation runs scheduled searches for exposed IP camera web interfaces or servers within defined networks, then turns any matches into a structured report. It gives the responsible team a ready-to-review spreadsheet link in Slack for follow-up and remediation.

This automation turns incoming alert data into a Jira ticket, calculates and records an alert level from priority, criticality, and severity, and routes high-level alerts for team attention before assigning them to the appropriate person. It replaces fragmented ticket creation, prioritization, notification, and assignment work with a consistent workflow.

Bulk IP Location Reporting automatically looks up the geographic details of a manually supplied list of IP addresses, including country, city, and coordinates. It compiles the findings into map-ready records and delivers the completed investigation report by email and webhook.

This automation performs a monthly inventory of applications installed on employees' devices, excludes Apple default applications, and records the remaining software details in a spreadsheet. It then notifies the relevant operations channel that the monitoring report is available for review or follow-up.

This automation handles first-level customer interactions on vulnerability tickets received from Jira Service Management or ServiceNow. It retrieves the relevant ticket context, answers routine requests when possible, escalates uncertain cases to the VOC team, and records the resulting customer response and internal activity on the ticket.

This automation retrieves Microsoft Defender detections from an incoming email-triggered workflow, separates and deduplicates individual events, and prepares them for issue tracking. It then creates a Jira issue so security findings are captured in a consistent, actionable format.

This scheduled automation discovers the MX servers associated with a domain, checks each server's reputation and location, and compiles the findings into a report. The report is posted to a team communication channel so email infrastructure issues can be reviewed proactively.

This automation checks the email accounts of users in a domain against known data breaches and records the findings in a spreadsheet. It replaces repeated account-by-account searches and manual result entry with a centralized breach inventory.

This automation delivers a personalized cybersecurity awareness questionnaire, scores each response, records the results, and determines whether the participant passes. Successful participants receive a congratulatory message and an emailed certificate, while unsuccessful participants receive targeted follow-up guidance.

This automation retrieves device users and installed applications, filters out Apple system bundles, and keeps per-user spreadsheet records current by adding new applications or updating changed versions. It then publishes a completion message with the application report and uninstall instructions.

This automation processes suspected false-positive security alerts, identifies their source, and applies the appropriate host, user, or file exception. It can also add approved file hashes to an allowed list and close eligible alerts as false positives, reducing repetitive analyst handling.

This automation finds open cases, groups them by owner, and prepares a personalized ticket summary for each person. It then routes the summary through an ephemeral Slack message when the owner is found or an email fallback when no Slack match exists.

This automation generates an urgent IT or SOC-style decision question with multiple answers, presents it as interactive buttons in a channel, and captures the selected response. It confirms the choice and evaluates whether the response matches a specific option.

This automation turns each incoming email into a structured, actionable alert by extracting key message details and posting them to a configured channel. It gives recipients the context they need, along with direct options to open the playbook or respond to the sender.

Automates employee-behavior investigations by gathering account activity, connection and IP evidence, breach information, and location context, then producing a structured security assessment and Slack handoff. It replaces scattered lookups with a repeatable triage path, although the configured test values and branch logic should be validated before production use.

This automation receives a security incident, checks for duplicates and related incidents, and uses automated triage to determine the appropriate response path. It creates a structured incident record with remediation tasks and correlation links when investigation is required, while avoiding duplicate ticket creation.

This automation evaluates AWS environments against compliance standards by collecting WAF and VPC configuration details, identifying non-conforming environments, and compiling the findings into a report. The completed report is archived and delivered through the designated security channel.

This automation investigates reported email attachments by retrieving the related message, downloading and unpacking the attachment, and checking its file hash in VirusTotal. It produces structured triage data and security-enrichment results for follow-up analysis.

This automation retrieves threats created during the previous day, gathers the relevant details, and consolidates them into a Jira investigation ticket. It replaces a recurring manual review and reporting process with a consistent threat summary for the security team.

This automation performs a scheduled external attack surface assessment for a domain by enumerating subdomains, checking DNS and email security configuration, and examining publicly exposed infrastructure. It consolidates the findings into a structured markdown report with risk analysis, a TL;DR, and follow-up actions.

This automation searches an Office 365 mailbox for messages that meet the configured spam-processing criteria, removes matching messages, and records the result. It eliminates the need to manually review and delete qualifying messages one by one.

This automation scans a configured list of IP addresses for exposed ports, identifies the services and protocols associated with any findings, and posts a consolidated report to a Slack channel. It replaces repeated lookups and manual report assembly with a scheduled, repeatable port-visibility check.

This automation receives monthly macOS persistence scan results, associates each device with its employee, and organizes detected software, scripts, daemons, login items, and browser extensions into a structured report. It then notifies the responsible team with the report location so security oversight does not depend on manual scanning and data entry.

This automation analyzes a submitted phishing email by extracting sender addresses, URLs, and attachments, then checking those artifacts against reputation and threat-intelligence services. It formats the findings into a consolidated report and delivers the results by email.

This automation enriches a suspicious sign-in alert with identity, sign-in history, IP reputation, download activity, device status, and existing-incident context. It packages the findings into a structured brief for a triage agent, with optional email delivery, without making a conclusion or taking remediation action.

This automation turns Slack employee support requests into structured, policy-informed service workflows. It gathers conversation context, classifies the request, validates missing details, manages approval requirements, creates the appropriate ticket, and keeps the requester informed.

This automation turns vulnerability and asset data into a structured exposure dashboard by expanding a configured tag hierarchy, querying vulnerability metrics across several dimensions, and writing the results into a prepared spreadsheet. It replaces repeated security-data lookups and spreadsheet updates with a consistent dashboard refresh.

This automation reviews newly opened or edited pull requests, examines their titles, descriptions, and changed files, and applies relevant categorization labels such as bug, config, or security. It replaces repeated manual triage with consistent, automated labeling directly on the pull request.

This automation turns a user command containing a target web application URL into an on-demand PCI web application scan, then manages report generation and delivery automatically. It produces a PDF report in SharePoint and sends the file URL back to the requesting user.

This automation reviews roaming computers, identifies devices that are offline and have not synchronized for more than seven days, and emails a consolidated report to the designated agent. It replaces device-by-device checking with an automated exception report containing the affected device names, statuses, and versions.