Dense Slides: Cognitive Shield Real Time Real Smart - Rachna Srivastava

Source Video

Cognitive Shield Real Time Real Smart - Rachna Srivastava

Method

This deck is slide-only. The existing captured video frame set supplies candidate frames, then local OpenCV rejects sponsor/title/speaker-only frames, crops visible slide surfaces, deduplicates, and saves the cropped slide images.

Cropped Visible Slides

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Slide text:

COGNITIVE-SHIELD REAL-TIME REAL-SMART

What happens when the smartest tools we've ever built... stop working for us - and start working against us?

When fraud doesn't look like fraud anymore

When phishing emails are indistinguishable from legitimate ones

When deepfake voice and video pass KYC checks

Fraud isn't breaking in. It's walking in the front door - looking like everyone else.

This is not a future threat. It's happening. Right now.

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The Paradigm Shift: Using AI to Defend Against AI

AI is being misused. It's helping fraudsters to trick, steal, and spread lies faster than ever before.

But the same AI can be our greatest defense.

We can use it to spot fraud, stop attacks, and protect people.

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Examination Management

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Invoice Management

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Virtual Agent

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Payment Fraud Detection and Monitoring

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Social Media Fraud Monitoring

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Cryptocurrency Fraud

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AI-Generated Insight

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Active Investigation

No items in your investigation. Add items from search results, alerts, or transactions.

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Cognitive Shield: AI Defense for Financial Fraud

Layer 1: Data Trust & Secure Foundations

- Privacy-first ingestion, verified identities

Layer 2: Real-Time Fraud Detection

- Deep learning, graph AI, secure LLMs stop fraud before it spreads

- 8 specialized modules covering everything from deepfakes to crypto

Layer 3: Intelligence Hub for Response & Compliance

- Smart alerts, visual dashboards, and compliance-ready reporting

Key Takeaways

- AI is not optional - it's the core of modern fraud defense

- Tables > Graphs - relationships expose hidden threats

- Multi-agent LLMs bring context, speed, and transparency

Why We Must Act Now

By 2027, if we do nothing:

- 90% of cyberattacks will be AI-driven

- $100B+ in fraud losses expected annually

Our Mission: Stop Fraud Before it Starts.

Hidden Non-Slide Evidence

`slide-017.jpg` — demo_video confidence 0.97; Desktop screen capture with browser/app UI and macOS desktop, not a presentation slide.

Classification audit: raw/sources/slide-ai-classification/dense/5_QWh4LGoxg/audit.json