Himanshu Patil
Cybersecurity Professional | Dark Web Intelligence & Cybercrime Investigation Researcher | Cybersecurity Educator
Jalgaon, India
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Himanshu Patil is a cybersecurity professional and educator focused on cybersecurity awareness, digital risk understanding, and practical security education. His work centers on helping students, professionals, and organizations understand modern cyber threats and develop the skills needed to build safer digital environments.
With professional training in cybersecurity, cybercrime investigation, cyber law, and digital forensics, Himanshu has developed expertise in areas such as network security, OSINT investigation, metadata analysis, cyber threat awareness, and responsible cybersecurity practices.
He holds internationally recognized certifications including CompTIA Security+, CompTIA Network+, and PMP, along with professional training in Certified Ethical Hacking (CEH), cybercrime investigation, and cyber forensic analysis.
Himanshu is actively involved in cybersecurity education and skill development, where he conducts training programs, cybersecurity workshops, and internship mentoring sessions for students and aspiring cybersecurity professionals. His teaching approach focuses on real-world cyber threats, practical security thinking, and responsible use of technology.
In addition to training, he is also engaged in cybersecurity research and academic work, including research on AI-assisted metadata and OSINT correlation for darknet investigations, exploring how analytical techniques can support digital investigations while maintaining legal and ethical compliance.
Through education, research, and community engagement, Himanshu works toward promoting cybersecurity awareness, responsible technology use, and stronger digital resilience in the modern connected world.
Area of Expertise
Topics
AI Broke Our AWS Architecture: Real Production Failures, Security Blind Spots, and How We Fixed Them en
AI rarely fails in production because of bad models it fails because cloud architectures were never designed for the risk amplification that AI introduces.
This session presents a technical teardown of real production failure patterns observed when AI-enabled features are deployed on AWS. It focuses on the security, data protection, and reliability issues that emerge after AI moves from experimentation into real user-facing systems.
Through concrete architectural examples, the talk examines how common AWS design choices across IAM, event-driven services, APIs, and data pipelines unintentionally expand attack surfaces, weaken trust boundaries, and create long-term systemic risk.
What this session covers:
1. How AI features silently increase the AWS attack surface
2. IAM and service-to-service trust misconfigurations that lead to data exposure
3. Security blind spots in async and event-driven AI pipelines
4. Why “working” architectures fail under scale, abuse, and misuse
5. Observability gaps that prevent teams from detecting AI-related incidents early
What attendees will learn:
1. Practical IAM boundary and permission design for AI-enabled systems
2. Secure data-flow patterns for APIs, Lambda, and AI integrations
3. Guardrails that reduce privacy and security risk without slowing delivery
4. Engineering decision frameworks for deploying AI safely in production
This is a purely technical, experience-driven session grounded in real-world system behavior, failure analysis, and defensive design. There is no marketing content or tool promotion only engineering lessons that teams can apply immediately to production workloads.
AI, Security, and Trust: Engineering Lessons from Real-World Data Misuse en
AI-enabled features are now embedded in everyday software systems, from personalization and automation to analytics and decision support. While these systems promise speed and scale, many teams underestimate how ordinary engineering and product decisions around data, identity, and automation can quietly introduce security and trust risks.
This session examines real-world patterns of data misuse and trust failures that occurred not because of advanced attacks, but because of normal architectural choices made under delivery pressure. Using anonymized experience reports, the talk explores how AI-assisted systems amplify existing weaknesses in data handling, access boundaries, and accountability.
Rather than focusing on specific tools or vendors, the session emphasizes engineering judgment, responsibility, and ethical decision-making in modern software development. Attendees will gain a clearer mental model for reasoning about security and trust risks earlier in the lifecycle of AI-enabled systems.
Inside the Onion: From Tor to Threats - Understanding the Hidden Web & Its Impact Digitally en hi
The Internet we see every day is just a fraction of what truly exists. Beneath the surface lies the Dark Web a hidden network built on Tor, Onion Routing, and cryptographic anonymity. While often linked with cybercrime, the same technologies also power secure communication, whistleblower protection, and digital privacy.
In this lightning talk, Himanshu Patil takes you inside the onion layer by layer revealing how Tor’s routing architecture, encryption, and hidden services function, and what developers can learn from them. Through quick, real-world case insights like Silk Road and Alpha Bay, attendees will see both the threats and innovations emerging from the Dark Web.
You’ll walk away with three sharp insights:
• How anonymity networks actually protect or expose users.
• What lessons the Dark Web offers for privacy by design and secure app development.
• How to think ethically about technology that can both protect and harm.
Fast paced, eye-opening, and technically grounded this session is designed to inspire developers to build securely, think ethically, and explore beyond the surface web.
Inside the Onion: From Tor to Threats - Understanding the Hidden Web & Its Impact Digitally en hi
The Internet we see every day is just a fraction of what truly exists. Beneath the surface lies the Dark Web a hidden network built on Tor, Onion Routing, and cryptographic anonymity. While often linked with cybercrime, the same technologies also power secure communication, whistleblower protection, and digital privacy.
In this lightning talk, Himanshu Patil takes you inside the onion layer by layer revealing how Tor’s routing architecture, encryption, and hidden services function, and what developers can learn from them. Through quick, real-world case insights like Silk Road and Alpha Bay, attendees will see both the threats and innovations emerging from the Dark Web.
You’ll walk away with three sharp insights:
• How anonymity networks actually protect or expose users.
• What lessons the Dark Web offers for privacy by design and secure app development.
• How to think ethically about technology that can both protect and harm.
Fast paced, eye-opening, and technically grounded this session is designed to inspire developers to build securely, think ethically, and explore beyond the surface web.
Cellebrite C2C user summit 2026 Upcoming
Devfest Mumbai 2025 Sessionize Event
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