Develop automated threat hunting workflows, log analyzers, SIEM rules, and defense firewalls.
Cybersecurity is an active operational shield. Modern security teams leverage streaming event analyzers, autonomous alert triage agents, and robust identity architectures to block malicious entities and safeguard corporate networks.
Autonomous alert triage agents that investigate alerts, query host logs, scan files for malware, and draft incident reports.
Malware family classifiers categorizing binary files based on assembly patterns and API call strings.
Security operations center (SOC) dashboards displaying active threats, compliance ratios, and patch levels.
Risk metrics calculation sheets, resource allocation analytics, and audit cost modeling files.
Automated network segmentation triggers, intrusion prevention firewalls, and credential token controls.
Automated AWS VPC configurations utilizing Terraform to spin up isolated sandbox environments for malware analysis and virtual penetration testing labs.
Practice with 12 structured tasks categorized by difficulty.
Develop a Python script that reads server access logs and flags IP addresses with multiple login failures.
Create a SQL dashboard displaying the geolocation, hit count, and targeting of blocked traffic.
Build a basic TCP socket scanner checking for open ports and identifying listening services.
Create a rule-based script checking submitted passwords for length, character sets, and entropy.
Write a Python script using Boto3 listing all AWS IAM users with password access keys older than 90 days.
Explore 10 dedicated research-backed capstone systems for every domain (AI, Data, Security, Cloud) modeled after production corporate environments and SOTA literature.
Build an autonomous AI SOC agent that ingests raw SIEM alerts, queries threat intelligence APIs, correlates IP context, and executes automated isolation playbooks.
Build a phishing detection engine analyzing email headers, body text sentiment, and embedded URL landing pages using computer vision and transformers.
Develop an AI agent that scans source code repositories for CVEs, static analysis bugs, and SQL injections, auto-generating git pull requests with fixed code.
Build an AI assistant that analyzes disassembled malware binaries (Ghidra / IDA Pro outputs), explains obfuscated assembly functions, and identifies C2 domains.
Train an anomaly detection model evaluating employee user activity logs (login times, file downloads, SSH connections) to detect compromised insider threats.
Build an AI agent that inspects application architecture diagrams and OpenAPI specs to automatically generate STRIDE threat models and attack trees.
Build a multimodal AI forensic analyzer detecting facial manipulation artifacts and synthetic voice cloning in video calls and audio recordings.
Develop a RAG-powered compliance assistant that audits corporate IT configurations against ISO 27001, SOC 2 Type II, and NIST CSF standards.
Develop an ethical cybersecurity agent that performs automated web application vulnerability scanning, payload testing, and exploit verification.
Build an AI static analysis tool that inspects source code to flag weak encryption ciphers (MD5, DES, RSA-1024) and hardcoded secret keys.
Architect a high-speed streaming network intrusion detection system processing 10Gbps flow telemetry using a Transformer neural network trained on packet sequences.
Build an automated threat intelligence platform using STIX/TAXII 2.1 that fuses unstructured threat reports into a searchable Neo4j threat graph.
Build a high-throughput DNS log analytics pipeline evaluating domain length, entropy, and query frequency to detect DNS data exfiltration.
Architect a cost-effective security data lakehouse using Apache Iceberg on AWS S3 to index, compress, and query petabytes of SIEM security logs.
Build an automated network scanner and analytics engine evaluating enterprise TLS/SSL certificate expiration dates and weak crypto suites across 10,000 endpoints.
Architect a streaming analytics engine using Apache Flink to analyze SYN flood packet velocity and IP entropy to trigger BGP Blackhole routing.
Build an API analytics engine analyzing login request velocity, IP geolocation drift, and user-agent entropy to detect credential-stuffing botnets.
Develop a BigQuery security analytics pipeline evaluating AWS CloudTrail logs to spot unusual IAM privilege escalation actions (e.g., CreateAccessKey, AttachUserPolicy).
Build an automated data ingestion scraper monitoring public paste sites and breach forums to alert employees when company passwords appear in leak dumps.
Build an analytics tool parsing Trivy container vulnerability scan outputs to calculate business risk scores based on runtime exposure and CVSS scores.
Build a high-performance Linux kernel firewall using eBPF and XDP to enforce dynamic container-to-container micro-segmentation security policies.
Develop an automated adversary emulation framework executing MITRE ATT&CK technique playbooks (credential dumping, lateral movement, persistence).
Build a static analysis tool scanning Terraform, CloudFormation, and Helm charts for cloud security misconfigurations prior to CI/CD deployment.
Build an enterprise honeytoken deployment system placing fake AWS API keys, database credentials, and Word documents across internal networks to trap attackers.
Build an Active Directory event monitoring agent analyzing Kerberos ticket requests (TGS/TGT) to detect Kerberoasting and Golden Ticket attacks.
Build an inventory tool scanning enterprise source code and TLS servers to identify legacy RSA / ECC algorithms and recommend Post-Quantum Cryptography (PQC) replacements.
Build an automated supply chain security scanner evaluating npm / PyPI packages for typosquatting, malicious post-install scripts, and maintainer hijacking.
Build a container security monitoring agent using eBPF to profile normal Linux system calls (syscalls) per container and block un-expected shell spawns.
Build a Machine Learning classifier evaluating packet size, timing, and burstiness of encrypted DNS-over-HTTPS (DoH) traffic to detect hidden C2 channels.
Build a GraphQL API security shield analyzing query depth, field complexity, and introspection queries to block GraphQL denial-of-service (DoS) attacks.
Architect a centralized security data lakehouse using Amazon Security Lake, OCSF (Open Cybersecurity Schema Framework), and Apache Iceberg on AWS S3.
Build an automated Multi-Cloud CSPM engine using Steampipe and Cloud Custodian auditing AWS, Azure, and GCP configurations against CIS Benchmarks.
Build an automated serverless incident response orchestrator on AWS using Step Functions, Lambda, and VirusTotal API to isolate compromised EC2 instances.
Deploy a highly-available HashiCorp Vault cluster on AWS EKS with multi-region replication and automated dynamic database credential generation.
Deploy Cilium eBPF network security overlay on AWS EKS enforcing Layer-7 API network policies and Mutual TLS (mTLS) between microservice pods.
Deploy a Gravitational Teleport Zero-Trust access gateway on AWS providing certificate-based SSH and Kubernetes access with session recording.
Deploy AWS Shield Advanced and AWS WAF rate-limiting architecture protecting enterprise Route 53 DNS and CloudFront endpoints from 100Gbps DDoS attacks.
Build an automated threat hunting query engine on AWS using CloudTrail, AWS Glue, and Amazon Athena to detect unauthorized API calls.
Build an automated container image vulnerability scanning pipeline in GitHub Actions using Trivy to block vulnerable Docker images from AWS ECR.
Architect a centralized cloud network inspection hub using AWS Transit Gateway and Palo Alto VM-Series firewalls to inspect inter-VPC traffic.
Core Skills
Core Skills
Core Skills
