Automation by industry / Cybersecurity
AI automation for cybersecurity companies
AI can turn a flood of alerts into short summaries with context, draft answers to security questionnaires from your own approved knowledge base, and collect compliance evidence on a schedule. It can also sort reported phishing emails and build client reports, while your analysts make every call on incidents and what is said to clients.
Updated
Sound familiar?
Where the time goes
Security teams are short of time in two places. Analysts spend hours reading alerts that turn out to be nothing, and the same senior people get pulled into sales to answer 200-question security questionnaires that ask much the same things each time.
Then there is the paperwork that audits and clients expect: screenshots and exports for compliance evidence, monthly reports for every managed client, and a steady stream of 'is this email safe?' messages. Automation can carry much of that load, as long as people stay in charge of the decisions.
What we automate
5 automations for cybersecurity
Alert triage summaries
The problem: Analysts spend much of their shift opening alerts, looking up the user, device and history, and closing the ones that are known noise.
What we build: When an alert fires, the related context is gathered from your SIEM and other tools: who the user is, what the device is, whether this has happened before. The analyst gets a short summary and a suggested priority in Slack or Teams. Analysts decide what is an incident and what action to take.
ExampleSay an impossible-travel alert fires for a finance user at 2am. The analyst on shift sees one message with the two login locations, the user's VPN history and their last three similar alerts, instead of opening four consoles.
- 02Sales
Security questionnaire answers
The problem: Every enterprise deal comes with a long security questionnaire, and your engineers answer the same questions again and again, slowing the deal down.
What we build: Questionnaires are read and matched against a knowledge base of your approved past answers and policies. Each question gets a draft answer with its source, and anything new or uncertain is marked for a named person to write. Nothing is sent without review.
ExampleSay a prospect sends a 180-question spreadsheet on Monday. By Tuesday morning most questions have a sourced draft, and your security lead only needs to write the dozen that are new.
Compliance evidence collection
The problem: Before each audit, someone spends days collecting screenshots, user lists and config exports from a dozen systems to prove controls are working.
What we build: Evidence for each control is collected on a schedule, such as access reviews, backup logs and MFA settings, then filed in a shared folder by control with the date it was taken. Gaps are listed for your compliance lead to chase.
ExampleSay your ISO 27001 surveillance audit is in March. When the auditor asks for quarterly access reviews, each one is already filed under the right control with its date.
- 04Support
Phishing report handling
The problem: Staff forward suspicious emails all day, and each one needs checking, a reply to the person who reported it and sometimes action across the company.
What we build: Reported emails are checked against known indicators and similar recent reports, then sorted into likely safe, likely phishing or needs a look. The reporter gets a quick acknowledgement, and anything suspicious goes to an analyst with the details attached. Analysts decide on blocking and wider action.
ExampleSay ten people report the same fake invoice email in an hour. The analyst sees one grouped case with all ten reports, and each reporter gets a thank-you and a note that it is being looked at.
Monthly client security reports
The problem: Managed security clients expect a monthly report, and building each one means exports, charts and a written summary per client.
What we build: A report for each client is built from your security tools at the start of the month, with alert volumes, incidents handled, open risks and a plain-language summary. An analyst checks and edits it before it goes out.
ExampleSay you have 15 managed clients. Each account lead starts the month with a draft report per client to review, rather than two days of exports.
Works with tools like
Microsoft SentinelSplunkCrowdStrikeJiraSlack or Microsoft TeamsGoogle Drive or SharePointCase study
Security questionnaire drafts, alert summaries and audit evidence on autopilot
FAQ
Questions cybersecurity ask us
Will the AI make decisions about incidents?
No. It gathers context, summarises and suggests a priority. Deciding what is an incident, what to contain and what to tell a client stays with your analysts.
Is it safe to connect AI to our security tools?
We use read-only access wherever we can, keep data inside tools and regions you approve, and agree in writing what the automation can see and do before anything is built.
Will questionnaire answers be accurate?
Drafts only come from your own approved answers and policies, each one shows its source, and anything new is left for a person to write. Every questionnaire is reviewed before it is sent.
What does it cost?
You get a fixed quote after a free 30-minute audit, once we know which automation is worth building first.
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