ChatGPT for SOC Analyst: Master Cyber Security with AI

Explore how evolving ChatGPT models impact cybersecurity workflows, from legacy GPT 3.5 and 4 to newer iterations, and learn to apply current AI lessons now and future updates.

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.

Master essential ChatGPT functionalities for cybersecurity work, including managing chats and history, searching CVEs, using apps like Deep Research and Codecs, and personalizing profile settings.

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.

Customize ChatGPT for soc analysts by adjusting base style, tone, and personalization settings to yield more relevant, precise, and actionable cybersecurity responses.

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.

Master practical prompts for cyber security with ChatGPT, and compare hashing versus salting, including rainbow tables. See how enabling search yields current sources and stay informed with cyber security news.

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.

Discover 23 online resources for cyber security investigations in a microsoft sentinel SIEM, including VirusTotal, Hybrid Analysis, URL void, Grey Noise, MISP, Snort, Wireshark, and CyberChef.

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.

Generate incident analysis queries with ChatGPT, using Splunk, SPL, and SQL prompts to identify authentication failures, anomalies, suspicious activity, and malware indicators.

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.

Explore how an Excel macro created by OpenAI can run a PowerShell script, highlighting how AI prompts can be coaxed for legitimate automation or malicious tasks.

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.

Leverage ChatGPT to generate common security analyst interview questions and answers for a Security Operations Center, covering symmetric and asymmetric encryption, vulnerability vs exploit, threat intelligence, monitoring, and incident response.

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 AI strengthens cybersecurity work, not replaces it, as incident response improves with AI tools while attackers exploit AI and new AI security roles emerge.

Upgrade to chatgpt plus, review billing, and explore plus features like model selection, detailed insights, including auto, chatgpt for all, scheduled tasks, and 4.5.

Create a daily cybersecurity news assistant using scheduled tasks to deliver concise headlines and CVEs from trusted sources like BleepingComputer and Hacker News, even when offline, scheduled for 7 a.m.

Explore ChatGPT agents for cybersecurity through the awesome GPT agents repository. Discover over 100 custom agents tackling vulnerabilities and pentesting, built by the community, with caution to evaluate before use.

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.

Clarify web security topics with the web hacking wizard, using interactive prompts to cover SQL injections, cross-site scripting, cross-site request forgery, and session hijacking for SOC analysts.

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.

Use ChatGPT to craft kql queries for Microsoft Sentinel, including sign-in logs and security events. Understand syntax, operators, and prompts to identify login failures and related data.

Master GPT-4 and custom agents to streamline cybersecurity work and save time. Learn how to use OpenAI in the cloud and set up your own OpenAI service for easier deployment.

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.

Identify prerequisites to run OpenAI in Azure for a cyber security lab, including a free Azure account with $200 credit, and API key alternatives when Azure access is restricted.

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.

Explore the evolving Microsoft security landscape as Sentinel migrates from the Azure portal to the unified Defender security portal, with 2026 migrations, lab setup, and guidance for navigating between portals.

Explore configuring Microsoft Sentinel with Azure OpenAI by enabling playbooks and permissions in your resource group, and review incidents like sign-in attempts, malicious inbox rules, and Solorigate network beacon.

Master security lab troubleshooting for soc analysts by learning remediation actions, content hub reinstall, and a custom detection rule to ensure Microsoft Sentinel incidents appear correctly.

Deploy ChatGPT inside Azure to keep data private, not available to OpenAI, not used for training, and accessible only through private endpoints and role-based access control.

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.

Learn Azure AI tools to fine tune models with your data, run evaluations, store completions, manage batch jobs, and use vector stores for semantic search.

Explore the Azure ChatGPT testing playground to select deployment and tailor system prompts for cybersecurity, ingest data from Azure Blob storage, and export or import JSON.

Learn the essential prerequisites for the ChatGPT lab, including a workaround http body file, model role and prompt setup, and inserting your api key and resource id for Azure automation.

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.

Run the ChatGPT playbook from a Microsoft Sentinel incident with Tor network sign-ins, use the analytics rule; review the run history and copy the raw ChatGPT output into Sentinel.

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.

Investigate cyber security incidents with ChatGPT in Microsoft Sentinel playbooks, extract structured incident findings, and implement actions like blocking Tor exit nodes, enforcing multi-factor authentication, and post-incident review.

Learn to create and manage a ChatGPT API key for SIEM integration, select models in the playground, and prepare the HTTP call with headers, URL, and body.

Configure a ChatGPT-driven SOC playbook with Azure Key Vault secrets, endpoint variables, and structured JSON outputs to assess sign-in history and automate remediation actions.