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Investigate threats at machine speed. AI cybersecurity agents triage alerts, isolate endpoints, and reduce SOC response times from hours to seconds.
An AI cybersecurity agent, in the version a security team can run responsibly, does the triage: it enriches every alert from the SIEM or EDR with the asset owner, the user, threat intelligence and recent related events, scores it against your rules, closes what your rules say is benign with the evidence attached, and hands the analyst a ranked queue with the context already gathered. It drafts the containment steps from your runbook; it does not run them unattended. Autonomous response exists and is a custom decision per action — isolating a host is reversible, deleting a mailbox is not — and the line is drawn in a rule a person wrote.
If two of these are yours, the processes below are where to start. Free audit — or read on.
What we build
from $297/ month
3 ready cybersecurity workflows on n8n — set up, hosted and maintained for you. You keep the JSON.
from $2,000one-time
Built for your systems and rules on Claude and n8n. Live in 2–4 weeks with documentation and a walkthrough; maintenance optional from $99/month.
What you get
The 3 outcomes teams name first — measured on the process, not promised in a deck.
Dramatically reduce Mean Time to Respond (MTTR)
Eliminate alert fatigue for human analysts
Automatically summarize complex attack vectors in plain English
Real deployments
Real outcomes from real builds — not marketing copy.
All case studiesHow it works
3 steps, none of them yours to code.
Use cases
Problem
Employees report suspicious emails, but the security team takes hours to analyze each one. Meanwhile, other employees may click the same link.
Solution
The AI agent analyzes the reported email (headers, URLs, attachments), detonates links in a sandbox, and if malicious, removes the email from every inbox in the organization instantly.
What you get
How to get started
Tools: Darktrace, Microsoft Security Copilot, Abnormal Security
Problem
Phishing is the #1 attack vector. Rule-based filters miss sophisticated attacks that use novel domains, personalized language, and impersonation tactics.
Solution
The AI agent analyzes email content, sender patterns, link destinations, and behavioral signals to score phishing likelihood. High-risk emails are quarantined; borderline emails get warning banners. Users report suspicious emails, and the agent learns from feedback.
What you get
How to get started
Tools: Abnormal Security, Proofpoint, Darktrace
Problem
Phishing remains the top attack vector. Rule-based filters miss sophisticated attacks, and security teams take hours to analyze reported emails while the threat spreads.
Solution
The AI agent analyzes every inbound email for phishing signals: sender reputation, content anomalies, URL analysis, and behavioral patterns. Detected threats are quarantined across all mailboxes instantly. Employee reports are analyzed in seconds with feedback.
What you get
How to get started
Tools: Abnormal Security, Proofpoint, Darktrace
Problem
Vulnerability scanners generate thousands of findings. Security teams waste time patching low-risk CVEs while critical exploitable vulnerabilities sit in the backlog because prioritization is based on generic severity scores, not real-world context.
Solution
The AI agent ingests scan results from tools like Qualys, Tenable, or Rapid7, then enriches each vulnerability with threat intelligence (is it actively exploited in the wild?), asset context (is this a public-facing server or an internal dev box?), and compensating controls (is a WAF already blocking this attack vector?). It produces a prioritized remediation list with specific fix instructions and estimated effort.
What you get
How to get started
Tools: CrowdStrike, Tenable, Wiz
Workflows we build
Each blueprint shows the trigger, the steps with the n8n nodes named, the guardrails and an importable template — and what it costs to have us run it for you.
All blueprints| Workflow | Department | Steps | Managed | Custom build |
|---|---|---|---|---|
| Automated Security Alert TriageBenign patterns are closed automatically with an audit trail. Analysts open a queue ranked by risk where every alert carries the context they would have spent twenty minutes collecting. Mean time to triage falls, escalations are more accurate, and the weekly noise report tells the team exactly which detection rules to tune. | Security & IT | 8 | $297/month | $6,000–12,000 one-time |
| IT Helpdesk AutomationMost L1 requests are resolved in the conversation where they were asked, in minutes, with the approval and the audit trail the security team requires. Tickets that reach IT are complete — category, device, user context, what was already tried — and the knowledge base improves from every unresolved question. | Security & IT | 8 | $297/month | $5,000–9,000 one-time |
| KYC/AML Monitoring AutomationHits arrive as cases with the match evidence, the customer's profile and the agent's draft assessment of whether the match is genuine. Analysts clear false positives in seconds and spend time on real risk. Monitoring is continuous, and the audit trail is generated as the work happens. | Finance & accounting | 8 | $297/month | $8,000–15,000 one-time |
Ready to ship?
Tell us your workflow — the free audit sends a one-page plan with scope and timeline in minutes. No call.
Is this for you?
Not quite? Take a look at ai operations & it agent — the closest neighbour.
Background
Tackle alert fatigue in the Security Operations Center (SOC). Cybersecurity agents instantly investigate phishing emails, summarize threat intelligence, and automatically execute containment runbooks when a breach is detected.
Security teams deal with thousands of false-positive alerts daily. AI security agents connect to your SIEM, analyzing every alert. When a suspicious login occurs, the agent pulls logs, checks threat intel databases, and writes a plain-English summary of the risk. If it's malicious, it can actively quarantine the device by disabling network access—all in seconds.
Unlike a generic chatbot or manual process, an AI cybersecurity agent runs autonomously and integrates with your existing tools. Gartner projects that by 2026, over 80% of enterprises will have used GenAI APIs or applications.
Build, buy, or done-for-you
Pick the path that fits your team and timeline. Most companies start with one and grow into the others.
Wire up a ready platform yourself. Best for hands-on teams comfortable configuring software.
We scope, build, and deploy your agent — integrated with your CRM and tools. Best for teams that want it live in days, not months.
See the ROI and cost before you commit — useful for justifying the decision internally.
Prefer to build it yourself?
If you’d rather DIY, these are the tools we’d reach for. Each lets security operations teams run an AI cybersecurity agent without writing code.
| Tool | Best for |
|---|---|
| Generative AI security assistance | |
| Azure/Defender ecosystem threat hunting | |
| Autonomous SOC platform | |
| AI network anomaly detection |
We may earn a commission when you sign up via our links. About the studio
Vendor directory
| Vendor | Starting price | Pricing model | Best for | Free tier |
|---|---|---|---|---|
| Dropzone AI | Custom | custom | Mid-market + enterprise SOC teams | — |
Run the numbers first
Put your own volumes in before you ask for the plan — every calculator is free and needs no sign-up.
FAQ
Agents are typically run in 'human-in-the-loop' mode first, where they recommend containment actions for a human to approve, until trust is established.
Enrich first, decide second, and never let the model be the only gate: auto-close only patterns your rules define as benign, with the evidence logged; score everything else and rank it; alert a person on anything above the threshold or matching a critical asset. Measure the false-negative rate by sampling closed alerts weekly. The agent’s value is the enrichment and the ranking, not the closing.
Only if it is allowed to act without a rule. The workflows here separate proposing from doing: containment steps are drafted from your runbook and executed after an analyst’s click, and the few automatic actions — blocking a known-bad hash, disabling a clearly compromised account — are ones you enable one at a time with a reversal path. Nothing touches production infrastructure autonomously by default.
A record per alert: what was received, what was looked up, what score and why, who closed or escalated it and when. That is the traceability SOC 2, ISO 27001 and sector audits ask for, and it is produced as a side effect of the workflow rather than reconstructed for the auditor.
Choose your path
Use AI in your own day-to-day — free tools, copy-paste prompts. No engineering needed.
Best AI tools for it administrators →You deploy it across a teamThe 2 security & it processes we install in the tools the team already runs — each priced, with a team package — and the free audit that names the first one.
Security & IT automation for teams →Ships in days
Tell us your workflow and the free audit sends a one-page plan for security operations teams — scope, recommended agents, and a go-live timeline — by email within minutes. No call, no obligation.