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India AI Agentic Security Hackathon

lumaHosted on Luma

Fetched about 2 hours ago

Wednesday, August 12, 2026

to Sunday, November 1, 2026

•

3 months long

Artificial Intelligence

Event Type

in person

48

Participants

4

Est. Projects

How to make large-scale AI agent deployment safe and trustworthy for India? The India AI Agentic Security Hackathon brings together academicians, security researchers, engineers, policymakers, and any curious person to build the next generation of tools and mechanisms to mitigate risks from agentic AI in India. This is a national-level hackathon on building trustworthy AI for India's DPI, organized by Secure AI Futures Lab (SAFL).Concept note (public): bit.ly/saflhacknote Date: August 2026 to October 2026. Local jam sites will be announced soon. Duration: Three-month-long hackathon with multiple physical jam sites across India. You may submit anytime during the hackathon duration.Jam Sites: 12 August in Delhi (register to see details) Registration is open, but we have limited seats! Build across two tracks, five sub-themes, and one overarching problem statement. Winners get compute credits, fast-tracked career mentorship, exclusive access to physical Secure AI Hubs across India, and other goodies! For any queries, please email us at team@secureaifutureslab.com

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct