HM
Research author
Harsh Maniar
Series co-author
About Harsh Maniar
Co-author of AI-Assisted Security Testing, a sixteen-part technical research series with Viral Maniar and Mike Chen.
Published research
- Build a Hackbot: AI-Assisted Bug Bounty and Zero-Day Research
- AI Pentesting, Part 1: Recon and OSINT: Build an Evidence-Led AI Workflow
- AI Pentesting, Part 2: AI Phishing and Pretexting: Engineer a Controlled Simulation
- AI Pentesting, Part 3: LLM-Assisted AppSec: Ask Questions That Produce Tests
- AI Pentesting, Part 4: JavaScript Analysis: Trace Sources, Sinks, and Browser Trust
- AI Pentesting, Part 5: LLM-Assisted Filter Testing: Find Parser Disagreements Safely
- AI Pentesting, Part 6: Web CVE Bot: From Advisory Text to a Patch Decision
- AI Pentesting, Part 7: Scaling Nuclei and Nessus: Deterministic Control, AI Triage
- AI Pentesting, Part 8: Burp Suite AI: Features, Extensions, and an Evidence-First Workflow
- AI Pentesting, Part 9: Payload Modification and Ducky Script: Safe Endpoint Labs
- AI Pentesting, Part 10: C2 Research and Red-Team MCPs: Build Read-Only First
- AI Pentesting, Part 11: Ghidra and IDA Pro: Evidence-Grounded AI Reverse Engineering
- AI Pentesting, Part 12: LLDB and AI: Runtime Evidence Without Uncontrolled Execution
- AI Pentesting, Part 13: radare2 and Binary Ninja: Compare AI Analysis Across Representations
- AI Pentesting, Part 14: Automating Pentesting with AI: Architectures, Ecosystems, and Evaluation
- AI Pentesting, Part 15: CloudSec, Privilege Analysis, and Reporting: Close the Evidence Loop
- AI Pentesting, Part 16: A Fifteen-Task Hackbot Harness with Oh My Pi, Hermes, and OpenClaw