AI & DATA
PRIVACY

Yasir Ameen
DEVNCODE 2026
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IDENTITY // THE BUILDER
Yasir Ameen . AI & DATA PRIVACY
Yasir Ameen Profile
AI & DATA PRIVACY: A BUILDER'S PERSPECTIVE

Yasir Ameen

AI Product Manager @ Naspro Saudi Arabia (Remote)
With over 10 years of experience in the engineering trenches, I’ve transitioned from building mobile architectures to orchestrating AI-driven ecosystems. Currently serving as AI Product Manager at Naspro, I bridge the gap between complex LLM capabilities and practical, secure products. My work isn't just about implementation—it's about building solutions that respect the user while pushing the boundaries of what's possible in the era of intelligence.
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LIVE // INCIDENT REPORT
Yasir Ameen . AI & DATA PRIVACY
! CRITICAL SECURITY ALERT
0 users
had their ChatGPT conversations stolen
FREQUENCY
Every 30 minutes
Data exfiltration frequency
VECTOR
Two Chrome Extensions
One was 'Featured' by Google
"Your AI conversations are now a product. There are buyers."
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REFLECTION_MODE // ACTIVE
Yasir Ameen . AI & DATA PRIVACY

Where does your
data go?

Every prompt you type...

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DATA_INTEL // FLOW_PATH
Yasir Ameen . AI & DATA PRIVACY

The Data Pipeline

Where does your information actually travel?

YOUR INPUT
Prompt, Document, or Audio Stream
YOUR APP
The Interface processing data
AI ENGINE
Third-party compute & inference
RETENTION
Storage, Logs, and "Hidden Nodes"
"Once data leaves your perimeter, you no longer own its security."
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DATA_INTEL // LIVE_FEED
Yasir Ameen . AI & DATA PRIVACY

Provider Intelligence

Live retention tiers and training policies for current LLM providers.

DeepSeek
STATUS: CHINA
TRAINING: YES
CRITICAL
ElevenLabs
RETENTION: 2 Years
SOURCE: Voice Clones
HIGH RISK
Gemini API
RETENTION: 55 Days
TRAINING: No (Paid)
STANDARD
OpenAI API
RETENTION: 30 Days
TRAINING: NO
STANDARD
Mistral
RETENTION: 30 Days
TRAINING: Opt-out
STANDARD
Claude API
RETENTION: 7 Days
TRAINING: NO
SECURED
Deepgram
RETENTION: ZERO
AUDIO: Private
GOLD STD
AWS Bedrock
RETENTION: ZERO
VPC: Isolasted
ENTERPRISE
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REALITY CHECK // STATISTICS
Yasir Ameen . AI & DATA PRIVACY

Nobody Reads the Fine Print

0 %
don't read the
terms & conditions
0 %
of young people (18-34)
agree without reading
0 %
NEVER read
privacy policies
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SOLUTIONS // THE FRAMEWORK
Yasir Ameen . AI & DATA PRIVACY
Part Two

So what can you
ACTUALLY DO?

I've adapted IBM's core data protection principles into a 5-step engineering framework.

"You control the pipeline. Let me show you how."
01

CLASSIFY

Know what's in your prompts

02

CHOOSE

Match provider to sensitivity

03

PROTECT

Access, Monitor, Encrypt

04

PREPARE

Plan for the inevitable breach

REPEAT

Continuous security cycle

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ACTION // 01 // CLASSIFY
Yasir Ameen . AI & DATA PRIVACY

The Data Triage

Define your data before you protect it.

HIGH

PII, Passwords, Financials, Proprietary Code.

NO PUBLIC CLOUD

MEDIUM

Internal Docs, Project Plans, Slack Dumps.

PRIVATE ENDPOINTS

LOW

Public Docs, Marketing Copy, General FAQs.

STANDARD API
"If you treat all data like it's public, your security is an illusion."
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ACTION // 02 // CHOOSE
Yasir Ameen . AI & DATA PRIVACY

The Provider Matchmaker

THE GOLD STANDARD

Enterprise VPC

Azure OpenAI / AWS Bedrock

  • No Training by Default
  • SOC2 / HIPAA Compliant
  • Data stays in your cloud
THE BALANCED CHOICE

Business APIs

OpenAI / Gemini / Claude API

  • 7-30 Day Retention
  • No Training Clause
  • SOC2 / Enterprise Terms
THE RISK ZONE

Consumer Apps

Free ChatGPT / Gemini App

  • Training is Default
  • Human Review Possible
  • Low Sensitivity Only
"Choosing the right provider is the fastest way to avoid a legacy liability."
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ACTION // 03 // PROTECT
Yasir Ameen . AI & DATA PRIVACY

Defense in Layers

LAYER 01: ACCESS

Identity-based controls. Least privilege access only.

LAYER 02: MONITOR

Watch for prompt injection and anomaly patterns.

LAYER 03: ENCRYPT

Secure at rest and in transit. Useless if stolen.

"Security is not a single wall; it is a stack of defenses working in unison."
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ACTION // 04 // PREPARE
Yasir Ameen . AI & DATA PRIVACY

The Incident Command

TRANSPARENCY

Kill the "Legal Speak"

Be brutally honest with your users about where their data goes.

> status: transparent
THE RED BUTTON

Have a Breach Plan

What happens when the API provider leaks? Can you rotate keys in seconds?

> state: ready
"The question isn't if you'll have an incident, but how ready you are when it happens."
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ACTION // 05 // REPEAT
Yasir Ameen . AI & DATA PRIVACY

The Privacy Cycle

CLASSIFY
CHOOSE
PROTECT
PREPARE
REPEAT
Providers Change
Laws Evolve
New Threats
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Part Three

The PRIVACY-FIRST Path

There is another way. Your data, your hardware.
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PATHWAY // PRIVACY
Yasir Ameen . AI & DATA PRIVACY

What If Your Data Never Left?

The Privacy-First Alternative

Zero Data Transmission

Nothing sent to external servers. Ever.

Complete Control

You own the model and the environment.

No API Costs

Run unlimited inferences after setup.

"The best privacy policy is no data collection at all."
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PATHWAY // TOOLKIT
Yasir Ameen . AI & DATA PRIVACY
RESOURCES LOCAL TOOLS

Your Local AI Toolkit

Ollama

"THE DOCKER OF AI"
  • One command: ollama run llama3
  • Open source, runs anywhere
  • Best for: Developers & CLI users
ollama.com

LM Studio

"THE GUI FOR EVERYONE"
  • Point and click, no coding required
  • Large Hugging Face integration
  • Best for: Non-technical users
lmstudio.ai

Hugging Face

"THE LIBRARY OF AI"
  • 1,000,000+ open-source models
  • Access GGUF/Quantized files
  • Best for: Discovery & Research
huggingface.co

All are FREE. All keep your data LOCAL.

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TECHNOLOGY // OPTIMISM
Yasir Ameen . AI & DATA PRIVACY

2026: The New Reality

"A $249 GPU in 2026 runs what needed $2,000 in 2024"
BENCHMARK // TOKENS_PER_SECOND
Laptop Gaming Mac RTX GPU
HARDWARE // CAPABILITY_TIERS
LAPTOP (8GB) 7-8B Models
40+ t/s
GAMING (12GB) 14B Models
30+ t/s
M3/M4 MAC 32B Native
35+ t/s
RTX 3090/4090 70B (Q4_K_M)
15+ t/s
Quantization Reduces VRAM 75%
Spec-Decoding 2x speed boost
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MODELS // 2026_LANDSCAPE
Yasir Ameen . AI & DATA PRIVACY
OPEN SOURCE STATE OF THE ART

The Local Model Landscape

TOP LOCAL MODELS // JANUARY 2026
MODEL PARAMS BEST FOR VRAM REQ
Llama 4 Scout 17B General Purpose, 10M Ctx 12GB
Llama 4 Maverick 400B Complex Reasoning 24GB+ Q4
Qwen3 14B 14B Coding, Reasoning 10GB
DeepSeek V3.1 7B-70B Coding Specialist 8-24GB
Mistral 7B 7B Fast, Lightweight 6GB
KEY INSIGHT: Llama 4 Scout has a 10M token context window — 10x more than GPT-4 in 2023.
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ACTION // 5_MINUTE_SETUP
Yasir Ameen . AI & DATA PRIVACY

Get Started in 5 Minutes

No clouds. No API keys. Just AI.

1

Install Ollama

Download for Windows/Mac or run the installer script for Linux.

curl -fsSL ollama.com/install.sh | sh
2

Run a Model

Pick a model from the library and run it with a single command.

ollama run llama3.3
3

That's It!

You're now running state-of-the-art AI locally, privately, and for free.

Privacy Secured
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SECTION // TRADE_OFFS
Yasir Ameen . AI & DATA PRIVACY
Part Four

The Great TRADE-OFF

Privacy is free. Performance has a price.
"Choosing between local and cloud is not just a technical decision.
It's a values decision."
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REALITY // QUALITY
Yasir Ameen . AI & DATA PRIVACY
LIMITATION CONTEXT WINDOW

The Memory Gap (2026)

CONTEXT WINDOW COMPARISON
MODEL INPUT OUTPUT
Gemini 3 Pro
1M 64K
Gemini 3 Flash
1M 32K
Claude 4.5 Opus
200K 64K
Claude 4.5 Sonnet
200K (1M BETA) 64K
GPT-5.2
400K 128K
GPT-5
272K 128K
Ollama Extended
8-32K 4-8K
Ollama Default
4K 2K
THE REALITY GAP

250X DIFFERENCE

Gemini (1M) vs typical Local (4K)

CLOUD (GEMINI)
1,000K
OPENAI / CLAUDE
200-400K
LOCAL (MAXED)
32K
LOCAL DEFAULT
4K
"The Memory Problem is a Hardware Problem. You can't fit 1M tokens in 8GB VRAM."
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INFRASTRUCTURE // REALITY
Yasir Ameen . AI & DATA PRIVACY
INFRASTRUCTURE CAPACITY

The Hardware Matrix

CLUSTER VS CONSUMER HARDWARE
FEATURE CLOUD DATACENTER LOCAL CONSUMER
VRAM 80GB - 192GB (H100/H200/B200) 8GB - 32GB (RTX 4090/5090)
PROCESSING ~2,250+ TFLOPS per GPU (B200) ~1,700 TFLOPS (RTX 5090)
COMPUTE UNITS 10,000+ Interconnected GPUs 1 Single GPU System (Shared)
INTERCONNECT 900 GB/s - 1.8 TB/s NVLink PCIe 5.0 (64 GB/s)
SCALABILITY Elastic (Instant) Static (Standard)

"This is why Cloud leads context window (Gemini 1M). You can't fit a library in a shoebox."

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FINANCIAL // REALITY
Yasir Ameen . AI & DATA PRIVACY

What Self-Hosting Actually Costs

HIGH INVESTMENT

BUY YOUR OWN GPU

$2,000+ MINIMUM
  • Weakest Llama 3.1 version
  • 24/7 electricity bills
  • Hardware maintenance
MODERATE OPS

RENT CLOUD GPU

$280/ MONTH
  • A40 Instance (48GB VRAM)
  • No hardware overhead
  • Instant teardown
SCALABLE ENTRY

PAY-PER-TOKEN

$0.59/ 1M TOKENS
  • Zero upfront cost
  • 1,200 tokens/second
  • Start here today entry

"Unless you're willing to put in a large initial investment, running local AI right off the bat is not realistic."

HIDDEN COST: Running local LLMs is HARD — setup, patches, and scaling are all on you.
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REASONING // THE FRONTIER
Yasir Ameen . AI & DATA PRIVACY

The Agency Frontier

Fluent at chatting, but Cloud models still rule the Thinking.

LOCAL EXECUTION
  • ✓ Code Completion
  • ✓ Content Summarization
  • ✓ Sentiment Analysis
  • ⚠ Basic Tool Calling
"THE FAST WORKER"
VS
CLOUD ORCHESTRATION
  • ★ Full UI/App Generation
  • ★ Autonomous Agent Loops
  • ★ Zero-Error Tool Calling
  • ★ Complex Architectural Logic
"THE MACRO ARCHITECT"
REALITY CHECK: For Sonnet 3.7 or GPT-5.2 tasks, local models still fail the reasoning logic 25-40% more often.
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CALCULATION // NAPKIN MATH
Yasir Ameen . AI & DATA PRIVACY

When Does Self-Hosting Make Sense?

The "Napkin Math" for your infrastructure

MANAGED GPU
$280 / MONTH

RunPod A40 instance (24/7)

=
PAY-PER-TOKEN
1.69M TOKENS / $1

Groq Llama 3.1 70B

THE BREAKEVEN POINT
~3,000
PROMPTS PER DAY
If you have 3,000 users making 1 prompt each per day, self-hosting becomes cheaper than the cloud.
2026 TREND: Organizations are moving toward HYBRID — local for simple tasks, cloud for complex ones.
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EXECUTION // THE STRATEGY
Yasir Ameen . AI & DATA PRIVACY

The Smart Strategy

01

START CHEAP

Use pay-per-token APIs (Groq, Gemini). No upfront investment. Focus on building.

02

TRACK & LEARN

Monitor your actual usage. Count your prompts. Do the math every 30 days.

03

SWITCH WHEN READY

Once you hit 3,000+ daily prompts, self-hosting finally makes fiscal sense.

PERSONAL EXAMPLE // CELESTIO

"I use cloud APIs because quality and speed matter for users right now. But I am honest about where the data goes. When we scale, we'll revisit."

Start cheap, scale smart, switch when the math works.
FACT: Only 5% of AI pilots bring revenue. Execution matters more than where the model runs.
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PART 05 // APPLICATION

Now YOU Decide

INTERACTIVE // DECISION_MODE
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PRACTICAL CHALLENGE

Now You
Decide.

We've covered the theory. Now, let's apply the SCALE framework to real-world scenarios.

01 // THE DEV
02 // THE STARTUP
03 // THE HOSPITAL
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SCENARIO // 01 // EASY
Yasir Ameen . AI & DATA PRIVACY
"You're a developer building a side project on weekends. You need AI for code completion and debugging."

HARDWARE

  • 8GB GPU (Laptop)
  • 16GB RAM

CONSTRAINTS

  • $0 Budget
  • Code is your IP
What would YOU use?

LOCAL VS CLOUD?

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GO LOCAL

Ollama + Llama 3 8B

✓ 100% FREE

No monthly API bills. Runs on your current hardware.

✓ IP SECURE

Your code never leaves the building. Zero data leakage.

✓ FAST OUTPUT

8GB GPU runs 7B models at 40+ tokens/sec.

✓ OFFLINE

Build at a cafe or on a plane. No internet needed.

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SCENARIO // 02 // MEDIUM
Yasir Ameen . AI & DATA PRIVACY
"You're building an AI-powered support chatbot for your 500 daily users. Fast responses are critical."

TRAFFIC

  • 500 Users / Day
  • < 2s Response Time

CONSTRAINTS

  • Fast Scaling
  • ROI Focused
What would YOU use?

APIs VS INFRA?

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CLOUD API

Groq / OpenAI / Together

✓ INSTANT SCALE

Handle 1 or 10,000 users without changing hardware.

✓ ZERO CAPEX

No $3,000 servers needed upfront. Pay for what you use.

✓ TOP SPEED

Groq LPU technology delivers 500+ tokens per second.

✓ MAINTENANCE FREE

They handle the GPU clusters, patches, and downtime.

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SCENARIO // 03 // HARD
Yasir Ameen . AI & DATA PRIVACY
"A hospital wants AI to summarize patient notes. Data is HIPAA-protected and cannot leave secure systems."

SECURITY

  • HIPAA / Air-gapped
  • Local Storage

BUDGET

  • Federal Funding
  • On-prem Only
What is the only choice?

RULES OVER MATH

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PRIVACY FIRST

Self-Host or Compliant Cloud

OPTION A: SELF-HOST

Run vLLM on hospital servers. Data never leaves the building. Zero risk.

OPTION B: AZURE/AWS BAA

Enterprise cloud with legal HIPAA agreements. Compliant, but premium cost.

"When data is sensitive, the math is secondary. Compliance is non-negotiable."
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PART 06 // CONCLUSION

Bringing it
Home.

Intelligence is the new electricity. Don't let others control your switch.

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THE CORE MESSAGE

Your Data.
Your Control.

Privacy is not a feature. It is a fundamental right that we must build into the very core of our AI architectures.
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NEXT STEPS

Start Small.
Scale Smart.

Install Ollama. Run a local model today.
Audit your high-sensitivity data pipelines.
Switch when the math tells you to.
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Thank
You.

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FINAL THOUGHT

Build for
Privacy.

The future of AI isn't just about how much data we process.
It's about how much trust we build.