AI Watchdog for National Security: Detecting Malign LLM-Generated Content

AI Watchdog for National Security: Detecting Malign LLM-Generated Content

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  TITLE PAGE SMART INDIAHACKATHON 2025 • Problem Statement ID – [Enter PS ID] • Problem Statement Title- Mitigating National Security Risks Posed by Large Language Models (LLMs) in AI- Driven Malign Information Operations • Theme- [Select Theme]
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  IDEA TITLE Proposed Solution:An AI "watchdog" that spots and flags fake, LLM-written content before it spreads • We are building a system that scans social media, news sites and messages to catch AI-generated fake news, propaganda and deepfake text that could threaten India's national security, then alerts security teams before it goes viral • LLMs like ChatGPT can now write fake news, propaganda and troll posts that sound completely human, making it easy for hostile actors to run influence campaigns at massive scale; our tool spots these AI 2 @SIH Idea submission- Template Team Sentine ls
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  TECHNICALAPPROACH • Python, AItext-detection models (like RoBERTa/BERT fine-tuned to spot machine-written text), a fact-checking database, network-graph tools to trace how a post spreads, and a live dashboard on the cloud for security teams • Step 1: Collect posts from social media and news → Step 2: AI model flags text that looks machine-written → Step 3: Cross-check facts against trusted sources → Step 4: Map how the content is spreading → Step 5: Send a real-time alert to a security dashboard 3 @SIH Idea submission- Template Team Sentine ls
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  FEASIBILITY AND VIABILITY •Feasible: AI-text detectors and fact-checking tools already exist separately; our idea is to combine them into one early-warning system, buildable with open- source tools and cloud infrastructure, and tested first with a small pilot on a few platforms • Newer LLMs write more human-like text and are harder to detect, huge volumes of daily posts make monitoring hard, false alarms can waste investigators' time, and getting data access from social platforms raises privacy concerns 4 @SIH Idea submission- Template Team Sentine ls
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  IMPACT AND BENEFITS •Helps national security agencies, media and fact- checking bodies, election watchdogs, and the general public by cutting off fake, AI-generated propaganda before it can influence public opinion or trigger unrest • Social: less panic and division from fake news | Economic: prevents markets and businesses from being rattled by false stories | Strategic: protects elections, public trust and India's national security decision- making 5 @SIH Idea submission- Template Team Sentine ls
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  RESEARCH AND REFERENCES •Research on AI-text detection methods (e.g. DetectGPT, GPTZero approach) | Stanford Internet Observatory reports on AI-driven disinformation | MeitY IT Rules on deepfakes and misinformation | PIB Fact Check Unit case studies on fake news trends in India 6 @SIH Idea submission- Template Team Sentine ls
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  7 @SIH Idea submission-Template 1. Kindly keep the maximum slides limit up to six (6). ( Including the title slide) 2. Try to avoid paragraphs and post your idea in points /diagrams / Infographics /pictures 3. Keep your explanation precise and easy to understand 4. Idea should be unique and novel. 5. You can only use provided template for making the PPT without changing the idea details pointers (mentioned in previous slides). 6. You need to save the file in PDF and upload the same on portal. No PPT, Word Doc or any other format will be supported. Note - You can delete this slide (Important Pointers) when you upload the details of your idea on SIH portal. IMPORTANT INSTRUCTIONS Please ensure below pointers are met while submitting the Idea PPT: