AI SOC Agent

AI-Powered Website Log Review | Early Access Opening Soon

Turn website logs into clear security reports without hiring a SOC team.

AI SOC Agent helps small teams understand suspicious activity in AWS and NGINX logs, see what needs attention, and receive readable incident reports without enterprise SOC overhead.

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Designed for Teams that need security visibility without a dedicated SOC
Core outcome Incident summaries, suspicious activity, and recommended next steps
Status Early access opening soon

What you receive

Thousands of raw log entries become a concise incident report with clear findings, supporting evidence, and next steps.

Sample incident report

Two suspicious campaigns detected against the website.

One campaign scanned hundreds of paths and returned successful responses on endpoints that should be reviewed. A second campaign targeted sensitive paths but was fully blocked.

3 detected cases
2 suspicious IPs
2 correlated campaigns
4 responses to review

Recommended next steps

  • Review endpoints that returned successful responses.
  • Confirm debug or info pages are not exposed.
  • Add rate limits or blocking for repeat sources.
  • Keep the rules that already blocked sensitive probes.

Report artifacts

  • Incident summary
  • Detected cases and suspicious IPs
  • Campaign correlation
  • Downloadable report files

Take ownership of what your website is telling you

Provider dashboards and basic alerts do not always explain what is happening behind the scenes. AI SOC Agent helps turn your own website logs into clear findings and reports.

See beyond provider dashboards

Use your AWS and NGINX logs to understand suspicious activity instead of relying only on high-level alerts.

Understand who is behind activity

Add useful context about suspicious IP addresses, including location, network owner, and abuse reputation when available.

Get readable reports

Generate clear reports that explain what was found, why it matters, and what should be reviewed next.

What it helps you see

AI SOC Agent focuses on the website activity small teams are most likely to miss when they do not have dedicated security monitoring.

Suspicious website activity

What it checks

Looks for scans, requests for sensitive files, blocked requests, repeated login attempts, and sudden traffic bursts.

Why it matters

These patterns can show that someone is searching your website for weak points or trying to break into protected areas.

IP reputation and context

What it adds

For suspicious IP addresses, the platform can add location, network owner, and abuse reputation details.

Why it matters

This helps separate ordinary traffic from activity that may need closer review.

AI-assisted summaries

Plain language

AI can summarize the findings in simple language so the report is easier to understand.

Still works without AI

If the AI summary is unavailable, the log review and report generation still continue.

Who this is for

Designed for teams that need website security visibility without enterprise SOC overhead.

Small businesses

Understand suspicious website activity without building an internal security department.

Agencies

Review client logs and explain security findings in a format clients can actually use.

Consultants

Turn raw log evidence into structured findings and recommended next steps.

Startups

Get better visibility into scans, probes, and repeated login attempts while the team stays lean.

Developers

Review infrastructure logs without spending hours manually sorting through requests.

What it does and does not do

Clear boundaries help you know exactly what AI SOC Agent is built for.

What it checks

  • Scans and requests for sensitive files.
  • Repeated login attempts and blocked requests.
  • Traffic bursts and suspicious IP activity.
  • Website log patterns that deserve closer review.

What it does not do

  • It does not automatically change your website.
  • It does not block traffic or patch systems by itself.
  • It does not replace a full security program.
  • It helps you understand the findings so next steps are clearer.

How it works

The process is simple: send logs, review suspicious activity, add context, and receive a report.

01

Send logs

Your AWS and NGINX website logs are submitted through the API for review.

02

Find suspicious activity

The system checks for scans, suspicious requests, repeated login attempts, blocked requests, and unusual traffic spikes.

03

Add context

Suspicious IP addresses are checked against reputation and network information when available.

04

Create a report

The platform produces a clear report with findings, supporting details, and optional AI summaries.

When it helps

Use AI SOC Agent when you need to understand suspicious website activity without building a full security operation.

After unusual website activity

Review logs when you see traffic spikes, blocked requests, failed logins, or strange access patterns.

Before asking for help

Get a report that makes it easier to understand what happened before bringing in outside support.

For multiple clients

Submit logs through separate API keys so each client's findings and reports stay separated.

For repeat reviews

Use the API to submit logs, check progress, and download reports whenever a review is needed.

Powered by modern tools

Built around AWS and NGINX log review today, with Azure log support planned.

Azure
NGINX
Python
FastAPI

Behind the product

For technical readers, AI SOC Agent is an API-first Python service that processes client logs through a security analysis pipeline.

Log intake and parsing

The API receives AWS and NGINX log files, reads them line by line, and turns useful fields into structured data the system can review.

Detection and IP checks

Detection rules look for scans, suspicious requests, repeated login attempts, blocked requests, and traffic bursts. IPinfo and AbuseIPDB can add reputation context.

Reports and client separation

Each run stores findings, summaries, reports, and status data. Tenant-aware API keys keep client submissions and downloads separated.

Technical stack

Python, FastAPI, Uvicorn, Pandas, NumPy, Requests, python-dotenv, OpenAI, Ollama, IPinfo, AbuseIPDB, JSON outputs, Markdown incident reports, append-only audit logs, hashed API keys, and unittest coverage.

Request early access

Early access is opening soon. Share your website setup to request a log review and learn whether AI SOC Agent fits your workflow.

Best fit

  • Small businesses that need help understanding suspicious website activity.
  • Client workflows that need secure log submissions and downloadable reports.
  • Lean teams that want readable findings without losing the technical evidence.