
Leverage AI for cybersecurity with GPT prompts to analyze logs, investigate code, and automate threat detection, then explore GPT-4, custom agents, and a cloud model with Microsoft Sentinel.
Discover why AI reshapes cybersecurity, with tools like ChatGPT and Copilot for security automating alert triage and incident enrichment, and the rise of AI security roles.
Choosing the best AI model for cybersecurity is no longer as simple as picking the newest or most powerful model. This video explains how different cybersecurity benchmarks can help compare AI models across tasks such as vulnerability discovery, exploit development, SOC triage, malware analysis, threat intelligence and detection engineering.
The video covers benchmarks such as CyberGym, CWE-bench, BountyBench, ExploitBench, ExploitGym, and THOR Finding Triage, while also explaining why different benchmarks measure very different capabilities. Particular attention is given to SOC triage, where critical misclassification can be more important than the overall accuracy score.
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 the evolution of ChatGPT models, from ChatGPT five to mini and 4.1, and learn when to use non reasoning versus reasoning models for coding and incident analysis.
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.
Register for OpenAI via the provided link, log in with Google, Microsoft, Apple, or email at chat.openai.com, note country bans with VPN, and start with cybersecurity prompts.
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.
Explore project-based memory in chatgpt for incident investigations and security operations center tasks, name a project, upload pdfs, and set memory to project only to keep context separate.
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.
Analyze an Excel macro that downloads a file via a URL and uses a shortened URL, revealing obfuscation and potential malware delivery, and advise next steps for incident investigation.
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 how ChatGPT guides vulnerability scanning with nmap, covering installation, target specification, service version and OS detection, script usage, aggressive and udp/tcp scans, port selection, output, and firewall evasion.
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.
Access a marketplace of community-built GPT-4 agents for cybersecurity, featuring cyber security advisors for digital safety and small businesses, with over 100 options across key categories.
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.
Explore how to leverage multiple ChatGPT agents to gather threat intelligence on the Water Hydra group, analyze CVEs, and extract IOCs for cyber security defense.
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.
Learn advanced phishing email analysis using ChatGPT 4, uploading images or files to an agent that flags suspicious sender, urgency, unknown links, and misleading logos for SOC analysts.
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.
Discover how ChatGPT agents guide pentesting and ethical hacking with tools like Nmap, Telnet, SQL injection prompts, Nessus, OpenVAS, Hydra, and BloodHound for Active Directory, while emphasizing legal permissions.
Store and manage practical prompts in a centralized GitHub repository built from real incident investigations, and expand them continuously as you use ChatGPT for cybersecurity analysis.
Clear and professional communication is critical when escalating security incidents. In this lecture, we’ll explore how ChatGPT can help SOC analysts draft high-quality escalation emails with precision and speed
Discover how to use AI tools to generate professional, comprehensive security reports directly in Microsoft Word.
In this lecture, you'll learn how to harness the power of ChatGPT to interpret and analyze network traffic like a cybersecurity pro. We’ll walk through how to feed logs or packet data into ChatGPT, what prompts to use for effective analysis, and how to detect anomalies or potential threats in the data.
Learn to analyze info stealers with ChatGPT, from payload download and execution to C2 infrastructure and backdoors, using prompts, VirusTotal or sandbox, for rapid risk assessment and remediation.
Explore how attackers modify the Windows registry to achieve persistence, autostart malware, or disable security features, and learn practical techniques for incident response and registry analysis.
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.
In this introductory lecture, you'll get a high-level overview of the ChatGPT-powered threat intelligence agent we'll be building. Learn how combining ChatGPT with real-time threat data from VirusTotal, AbuseIPDB, ThreatFox, and GreyNoise can streamline IP analysis into a single prompt.
This lecture kicks off the build process by creating your custom AI agent from scratch. You'll learn how to set up a ChatGPT-based cybersecurity agent by defining its role and giving it clear instructions (prompt engineering). By the end of this session, you'll know how to guide ChatGPT with the right parameters so it behaves like an effective SOC analyst assistant
Here, you'll learn how to connect ChatGPT to external threat intelligence services via their APIs. This lesson covers the fundamentals of API integration, showing you how to securely retrieve data from platforms like VirusTotal, AbuseIPDB, GreyNoise, and ThreatFox. Mastering these connections will enable your custom agent to pull in live threat data for richer, automated analysis.
In this hands-on lecture, you'll integrate the VirusTotal API into your ChatGPT agent for instant threat lookups. Learn to query VirusTotal for IP reputation data and malware history, then feed these results directly into ChatGPT's analysis.
In this segment, you'll plug in three more threat intelligence sources — AbuseIPDB, ThreatFox, and GreyNoise — to broaden your agent's perspective. Learn to integrate each API to fetch malicious activity reports (AbuseIPDB), threat feed data (ThreatFox), and background noise insights (GreyNoise).
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.
Creating a budget should be one of the first things to do after setting up an Azure account, especially when experimenting with services such as virtual machines or Microsoft Sentinel. This video demonstrates how to monitor Azure spending and configure budgets and cost alerts to help prevent unexpected charges.
The walkthrough covers Cost Analysis, forecasted costs, billing periods, creating a monthly budget, and configuring multiple alert thresholds. It also shows how to receive notifications when spending reaches specific percentages or when forecasted costs indicate that the budget may be exceeded.
Set up a free SIEM lab by deploying Microsoft Sentinel in Azure via a template, create a resource group and log analytics workspace, and enable data connectors and analytics rules.
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.
Learn to navigate the unified defender portal with Microsoft Sentinel, using data connectors, content hub packages, and the incidents, analytics, hunting, and notebooks available in the interface.
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 a Microsoft Sentinel analytics rule using a natural language processing template to trigger incidents from Tor network sign-ins, then use these incidents with gpt to guide next steps.
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.
Explore Azure ChatGPT pricing options including pay-as-you-go, throughput provisioning, and batch APIs across regions. Compare model prices such as oh one and GPT-4, note regional variations and reservations.
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.
Microsoft Foundry is becoming a central place for building, testing, deploying, and managing AI applications and agents inside Azure. This video provides a complete tour of the new Foundry experience and explains what the main sections are used for.
The walkthrough covers Home, Discover, Build, Operate, and Manage, including model deployments, benchmarks, agents, tools, services, memory, guardrails, monitoring, quotas, permissions, and regional availability. It also explains how Foundry can be used to compare models, connect agents to external services, add organizational data, monitor token usage, and manage AI workloads at scale.
Explore the Azure AI Foundry portal within Azure OpenAI to view your resource, model catalog, and deployment options, then test deployments in the chat playground and learn about assistants.
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.
deploy a ChatGPT model in Azure, choosing base or Azure ML options; compare global standard, zone, and provisioned deployments and note tokens per minute and API key.
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.
Customize cybersecurity prompts in ChatGPT by configuring parameters—past messages inclusion, token limit, temperature, top P, stop sequences, and frequency and presence penalties—to manage context and cost.
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.
Create an automation playbook in Microsoft Sentinel with an incident trigger, then assign Microsoft Sentinel responder privileges and manage identity for Logic Apps to enable secure SOC workflows.
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.
Set up a Microsoft Sentinel automation rule to trigger a playbook for any analytics rule or incident provider, enriching incidents with ChatGPT and automating the integration with your security solution.
Explore ChatGPT in Azure cloud for cybersecurity incidents, compare testing with the OpenAI Playground, and learn to connect to the OpenAI reasoning model while managing costs.
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 siem playbook to call an o1 ChatGPT model via an Azure endpoint, handling api key, authorization, and json body to generate incident insights and recommendations.
In this lecture, you'll bring everything together to create a fully automated incident response workflow powered by ChatGPT and integrated with your SIEM solution.
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.
Take your cybersecurity automation skills to the next level with this exclusive bonus template, designed specifically for SOC Analysts leveraging ChatGPT.
Are you ready to master ChatGPT for Cyber Security and make your job 10x easier? Integrate AI into your basic tasks and set a new standard for efficiency and effectiveness in cyber security field.
Gain access to 100+ ChatGPT Plugins and learn 50+ different ChatGPT prompts for Cyber Security Analyst. Each prompt is gateway to simplifying complex tasks, allowing you to:
Automate Threat Intelligence: Discover how AI can automate the collection and analysis of threat intelligence, keeping you ahead of hackers.
Enhance Vulnerability Management: Utilize ChatGPT prompts to identify and prioritize vulnerabilities, streamlining your patch management process.
Refine Phishing Detection: Train ChatGPT to identify and classify phishing attempts with greater accuracy, using natural language processing to analyze the content of emails.
Analyze Logs for Advanced Insights: Transform your approach to log analysis with AI and save time during incident response.
You will also create FREE hands-on personal lab integrated with OpenAI model.
Build Your Personal AI Lab for FREE: Set up a hands-on personal lab integrated with the OpenAI model, enabling practical experimentation and learning.
Custom AI Agent Creation: Dive into the creation of your own AI agents in the cloud, tailored to your specific security needs and explore the extensive customization possibilities of AI in cybersecurity.
SIEM Integration: Master the art of connecting ChatGPT with your Security Information and Event Management (SIEM) system, automating incident detection and response with AI precision.
Why Choose This Course?
By mastering the application of ChatGPT and AI in your daily tasks, you'll not only make your job easier but also elevate your position as a cybersecurity expert in this rapidly evolving field.