Presents
CXO-INNOFEST
HACKATHON (CIF) 2026
Opportunity to meet
200+ CXOs
Industry Stalwarts
Jury
Participation
Guidelines
Step 01: Team Composition
Teams can consist of members from a startup or college students (up to 4 members).
Step 02: Theme/Problem
Participants must select a theme/problem statement from the options listed on the website to base their idea/solution on.
Step 03: Entry Norms
Ideas submitted must be original and not previously published or used in any other competition.
Step 04: Idea Submission
Participants must submit an abstract of their idea in the prescribed format before the specified deadline.
Problem Statements
ConsentFlow
Design an intelligent consent management platform that enables Indian businesses to comply with the Digital Personal Data Protection (DPDP) Act 2023. The system should allow users to grant, revoke, and manage granular data consents in real time, generate audit trails, and automatically notify Data Fiduciaries of consent changes. The platform must support multilingual consent notices, accessibility for differently-abled users, and integration with existing enterprise systems through APIs.
DataPrincipal Guardian
Build a self-service portal for Data Principals to exercise their rights under the DPDP Act, including access, correction, erasure, and grievance redressal. The portal must securely authenticate users through DigiLocker or Aadhaar, track requests sent to Data Fiduciaries, escalate unresolved complaints to the Data Protection Board, and generate a personal data footprint report across multiple organizations.
PrivacyAudit AI
Develop an AI-powered privacy impact assessment tool that scans an organization’s data-processing activities, maps personal data flows, identifies high-risk processing, and generates reports aligned with DPDP Act obligations. The tool should flag compliance gaps, recommend remediation measures, and allow DPOs to track remediation progress through a dashboard.
AlgoWatch
Create an AI model governance platform that tracks the complete lifecycle of enterprise AI and ML models, including training-data provenance, model versions, bias evaluation, explainability, approvals, and production monitoring. The platform should detect model drift, generate reports aligned with emerging AI regulations, and provide a model risk scorecard for business stakeholders.
BiasGuard
Develop a real-time AI bias detection and mitigation engine that integrates with existing ML pipelines. The system should evaluate fairness using metrics such as demographic parity and equalized odds, generate bias heatmaps across population segments, recommend debiasing interventions, and produce audit-ready fairness reports for high-stakes sectors such as lending, hiring, healthcare, and law enforcement.
AIWatchTower
Design a governance layer for enterprise Generative AI that enforces usage policies in real time. The solution should classify prompts and outputs for IP leakage, hallucinations, sensitive-data exposure, and other policy violations; route risky interactions for human review; track GenAI usage by department; and generate risk reports. Include a policy-as-code framework so compliance teams can update rules without engineering support. The objective is to enable secure, compliant, transparent, and trustworthy enterprise AI adoption.
ControlMatrix AI
Develop an AI-powered internal-controls testing platform that automates evidence collection and verification from ERP systems such as SAP and Oracle. The platform should test controls against SOX, ISO 27001, and COSO, identify failures or exceptions, recommend compensating controls, generate audit-ready reports, and support continuous controls monitoring to reduce audit cycles.
VendorRisk 360
Design a third-party risk management platform that automates vendor onboarding assessments and continuously monitors risk signals such as financial health, cyber incidents, sanctions, adverse news, and contractual obligations. It should trigger reassessments when risk events occur, provide a consolidated vendor risk heatmap, and include an AI-driven scoring engine that predicts vendor failure probability.
DataClassify Pro
Develop an automated data discovery and classification engine that scans databases, file shares, cloud storage, and emails to identify and tag sensitive data such as PII, financial information, health data, and intellectual property using ML-based pattern recognition and context analysis. The platform should enforce classification-based access controls, generate DPDP and GDPR data inventories, and visualize sensitive-data exposure risk.
DarkWeb Watchdog
Create a dark-web and threat-intelligence monitoring platform that continuously scans dark-web forums, paste sites, and breach databases for leaked credentials, sensitive documents, and infrastructure information. The system should alert security teams in real time, enrich alerts with source, threat actor, and potential impact, recommend immediate remediation, and provide a dashboard to track exposure trends.
DigitalTwin Risk Simulator
Create a digital twin of a manufacturing or logistics supply chain that simulates disruptions such as natural disasters, geopolitical events, supplier insolvency, and cyberattacks. The platform should quantify financial and operational impact, rank scenarios by probability and severity, recommend mitigation strategies such as dual sourcing, buffer stock, and alternate routes, and support data-driven resilience investments.
FraudShield AI
Develop a real-time AI-powered fraud detection and prevention system for digital payments and financial transactions. The solution should analyze transaction patterns, device fingerprints, geolocation, and behavioral biometrics to score fraud risk in milliseconds, adapt to new fraud patterns through federated learning without sharing raw customer data, and provide explainable alerts to investigators.
Quantum-Safe Cryptography Migration Toolkit
Build a toolkit that audits an organization’s cryptographic inventory, including certificates, APIs, databases, and TLS configurations, to identify exposure to quantum threats against RSA and ECC. The solution should generate a prioritized migration roadmap aligned with NIST post-quantum cryptography standards, provide a hybrid encryption wrapper supporting classical and quantum-safe algorithms, and calculate risk based on data sensitivity and the expected quantum timeline.
Quantum Random Number Generator as a Service
Design a cloud-accessible Quantum Random Number Generator service that uses quantum phenomena or quantum-circuit simulation to produce provably unbiased random bit streams. The solution should expose REST or gRPC APIs, support enterprise integration through an SDK, demonstrate NIST SP 800-90B testing or compliance readiness, and benchmark latency for banking OTP, lottery, and cryptographic key-generation use cases.
Edge Orchestration for Industrial IoT Security
Build a lightweight edge orchestration platform using K3s or MicroK8s to secure multi-vendor OT and IIoT environments. It should deploy containerized security micro-agents on edge gateways, passively inspect Modbus, PROFINET, and OPC-UA traffic, detect anomalous behavior using on-device ML, and send compressed security events to a central SIEM without exposing raw OT data. Include zero-touch device onboarding and fleet-wide policy updates.
Quantum Cyber Range
Create an interactive simulation environment that demonstrates how quantum attacks could impact current cryptographic systems. The cyber range should allow users to simulate threats against RSA, ECC, digital signatures, certificates, and encrypted communications, compare classical and post-quantum defenses, assess vulnerable assets, and develop a practical migration plan toward quantum-safe security.
Timeline Of Hackathon
Registration
Opens
07 July
Phase 1
Submission
12 Sept
Idea
Submission
06 Aug
Result
Announcement
09 Aug
Phase 1
Submission
16 Aug
Phase 2
Submission
04 Sept
Top 3
Finalist result
08 Sept
Phase 1
Submission
12 Sept
Prize Structure
Runner Up
Winner
Second Runner Up
Frequently Asked Questions
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