ChatGPT for SOC Analyst: Master Cyber Security with AI

Explore ggpt tiers from free tier to enterprise, including go tier, plus, pro, and business. Identify access limits, timing, and memory or context constraints, plus deep research options.

Evaluate ChatGPT pricing tiers—free, Go, plus, and pro—and weigh memory, context, image creation, and faster responses to decide if premium plans fit your security investigations.

Explore the ChatGPT free tier interface, including text and microphone input, private windows, and group chats with optional web search. Learn to verify sources and view referenced articles.

Configure essential ChatGPT settings to optimize AI for cybersecurity tasks, including personalization, memory, and security controls, and connect to Notion or Confluence for knowledge bases.

Learn to use memory in GGPT, including short-term chat history and long-term saved memories, to improve incident investigations by memorizing schemas and KQL queries for Microsoft Sentinel and Defender XDR.

Connect ai to 3rd party applications by linking ChatGPT to Notion, Confluence, and Jira to read and write data, reference memories, and update pages in real time.

Structure prompts for soc analysts to define cybersecurity concepts concisely, provide examples with URLs, and apply a repeatable output format, using lateral movement as an illustrative case.

Use chatgpt to generate practice questions and explanations for cybersecurity certifications, reducing study costs and retake risk. Update prompts for different certs and verify ai guidance.

Decode base64 commands with ChatGPT and reveal a potentially malicious PowerShell script from a URL. Isolate the system and analyze IOCs, persistence, and network traffic for incident response.

Demonstrate using ChatGPT to analyze a SQL injection attempt, explain a time-based blind SQL injection, and inspect logs of WordPress attacks targeting plugins and file upload flaws.

Learn how to identify phishing emails with ChatGPT for SOC analysts by scanning emails for suspicious elements such as dubious domains, generic greetings, obfuscated links, and unusual date formats.

Explore how ChatGPT handles common vulnerabilities and exposures (CVE) data, highlighting knowledge limits with 2021 CVEs like log for J and the 2020 Solorigate, and the challenge of up-to-date information.

Explore diverse ChatGPT prompts for cybersecurity to support SOC analysts with incident investigation, code review guidance, incident response, and recovery workflows, plus tools for translation and mermaid flow generation.

Explore how AI models can be manipulated and exploited through clever prompt engineering in the Gandalf browser game, highlighting prompt-based attacks, bypass techniques, and AI's role in cybersecurity.

AI browsers promise to automate tasks and summarize pages, but currently pose major security risks. They misread prompts and leak passwords or incident data, making them unsuitable for cybersecurity work.

Explore how to search the latest CVEs with ChatGPT using multiple agents, overcoming old GPT-3.5 limitations, and generate actionable details like yara rules and threat context.

Compare how ai agents present vulnerability data, including CVE identifiers, affected Windows versions, severity metrics, and references for internet shortcut files security feature bypass vulnerabilities.

Execute a source code analysis using multiple agents for Terraform, AWS CloudFormation, and Docker files to uncover vulnerabilities, including hardcoded secrets and SQL injection, guided by Ava's top ten.

Explore how to get the latest cybersecurity news using specialized GPT agents, such as Hackernews GPT, Cyber Pulse, article assistant, and Cybernews GPT, with practical usage tips.

Explore how an IOC analyzer uses ChatGPT to search and summarize indicators of compromise with source URLs, while limitations block domain and IP address lookups on VirusTotal, Shodan, and Censys.

Demonstrates how to query a custom ChatGPT agent to analyze an IP address using VirusTotal, AbuseIPDB, Greynoise, and Redfox, revealing malicious activity and enabling automated threat intelligence workflows.

Build and host your own OpenAI model in Azure, connect it to a cloud-native siem solution with Microsoft Sentinel, and automatically enrich incidents while keeping data under your control.

Deploy Microsoft Sentinel in Azure from GitHub template, configure location, resource group, workspace, ingestion limit, pay-as-you-go, enable analytics rules, health diagnostics, content hub, data connectors, and Azure AD logs.

Learn how Azure OpenAI models release regionally from US first to limited access, requiring an application form and Microsoft approval, and use official documentation to manage regional availability and costs.

Create a ChatGPT model in Azure OpenAI through the Azure portal, selecting East US 2 and your resource group. Review pricing and network options for API access.

Design and implement a ChatGPT integration with SIEM using a Logic App playbook to process incidents, extracting title, description, and entities, and call ChatGPT via HTTP to generate insights.

Explore improvements to automation with ChatGPT by building a logic app playbook, parsing JSON payloads, assigning outputs, and integrating ChatGPT responses with Microsoft Sentinel for testing.