Automating LinkedIn with AI
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Automation
Sep 14, 202512 min read

Automating LinkedIn with AI

S
Shubham Singla

"I don't have time to post on LinkedIn." That was my excuse for years. Then I built a robot to do it for me. This is the technical breakdown of how I automated my personal brand using Make.com, OpenAI, and a bit of Python.

AI Automation

Executive Summary

In the digital age, your personal brand is your resume. However, maintaining a consistent presence on LinkedIn requires daily effort. To solve this, I engineered an automated pipeline that:

  • Monitors RSS feeds from top cybersecurity news sources (The Hacker News, BleepingComputer).
  • Filters articles for relevance using GPT-4.
  • Summarizes the key points into a "professional opinion" LinkedIn post.
  • Schedules the post for optimal engagement times.

The Architecture: Make.com (formerly Integromat)

The core of the system is a Make.com scenario. It runs every morning at 8:00 AM.

The Workflow Steps

  1. RSS Trigger: Watch RSS feed for new items.
  2. OpenAI Module (Filter): "Is this article about a major breach or a new tool? Answer YES/NO."
  3. Router: If NO, stop. If YES, proceed.
  4. OpenAI Module (Write): "Write a LinkedIn post about this. Tone: Professional, Insightful. Include 3 hashtags."
  5. Human Review (Slack): Send the draft to my private Slack channel with a button "Approve" or "Reject".
  6. LinkedIn API: If approved, post to profile.

Prompt Engineering

The secret sauce is the prompt. You cannot just say "write a post." You get generic AI slop. You need to provide Context and Constraints.

"You are a Senior Cybersecurity Consultant. You are analyzing this article for a technical audience. Do not use buzzwords like 'game-changer' or 'unleash'. Focus on the risk to business continuity. End with a question to encourage comments."

Workflow Diagram

Technical Deep Dive: The Attack Anatomy

Understanding the specific mechanics of the attack is crucial for engineers. Most advanced threats follow the Cyber Kill Chain model:

RECONNAISSANCE: The attacker gathers information on the target. This can be passive (OSINT) or active (port scanning).

WEAPONIZATION: Creating a deliverable payload (e.g., a malicious PDF or Office macro).

DELIVERY: Transmitting the weapon to the target (e.g., via Phishing or USB).

EXPLOITATION: Triggering the payload to exploit a vulnerability (e.g., CVE-2023-xyz).

INSTALLATION: establishing a backdoor or persistence mechanism (e.g., a scheduled task or registry key).

COMMAND & CONTROL (C2): The compromised system calls home to the attacker server for instructions.

ACTIONS ON OBJECTIVES: The attacker achieves their goal (encryption, extensive data exfiltration, destruction).

The Human in the Loop

I learned the hard way that fully autonomous posting is dangerous. One day, the AI tried to post a cheerful summary of a tragic ransomware attack that shut down a hospital. The tone was completely wrong.

That is why Step 5 (Human Review) is non-negotiable. Automation handles the creation, but a human handles the curation.

Standard Incident Response Procedures

A robust Incident Response Plan (IRP) is the best defense against chaos. The SANS Institute outlines a six-step process:

  1. Preparation: Training, tooling, and dry runs (tabletop exercises).
  2. Identification: Detecting the deviation from normal behavior and determining the scope.
  3. Containment: Short-term mitigation (isolating the system) and long-term containment (patching).
  4. Eradication: Removing the root cause (malware, compromised accounts).
  5. Recovery: Restoring systems to normal operation and monitoring for recurrence.
  6. Lessons Learned: Post-incident analysis to improve future response.

Conclusion

Automation gave me back 5 hours a week. But more importantly, it taught me that AI is not a replacement for creativity; it is a force multiplier for consistency.

Comprehensive Mitigation Strategies

To prevent recurrence, a defense-in-depth approach is required. This involves layering security controls so that if one fails, another catches the threat.

  • Network Segmentation: Isolate critical assets in separate VLANs with strict firewall rules (East-West traffic inspection).
  • Endpoint Detection and Response (EDR): Deploy agents that can detect behavioral anomalies, not just file signatures.
  • Identity and Access Management (IAM): Enforce Least Privilege and MFA everywhere. Review access logs regularly.
  • Regular Audits: Conduct penetration testing and vulnerability scanning (using tools like Nessus or Burp Suite) at least quarterly.