Apurv Garg

CEO

San Francisco, California, United States9 yrs 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Founded Aurva to tackle data security challenges.
Led AI initiatives at Meta for business messaging.
Developed fraud detection algorithms increasing revenue.

Stackforce AI infers this person is a SaaS and Social Media expert with a focus on AI-driven solutions.

Contact

Skills

Core Skills

Data SecurityArtificial Intelligence (ai)Machine LearningProduct ManagementFraud PreventionNew Business DevelopmentComputer VisionNatural Language Processing (nlp)

Other Skills

Data PrivacyStrategyAnalyticsMarketingData AnalysisBusiness AnalysisPythonC++SPSSTableauHTMLCJavaMicrosoft ExcelCSS

About

I’m building Aurva around a simple belief: the harder problem today is often not unauthorized access, but knowing when legitimate access becomes risky or inappropriate at runtime, especially as AI agents become part of the stack. Before Aurva, I worked at the forefront of AI, including leading data efforts for Ads and Business Messaging at Meta.

Experience

9 yrs 4 mos

Total Experience

2 yrs 4 mos

Average Tenure

3 yrs 1 mo

Current Experience

Aurva

CEO & Co-Founder

Apr 2023 – Present · 3 yrs 1 mo · San Francisco Bay Area · On-site

Building Aurva to help security teams detect when trusted access turns risky. The real challenge is often not unauthorized access, but determining when legitimate access becomes inappropriate at runtime. AI agents make this harder because they usually appear authorized. Aurva helps teams identify when that access is no longer appropriate.
Today, Aurva serves 30+ enterprise customers, from AI-native companies to leading Global 2000 organizations. Aurva is backed by Nexus Venture Partners and executives from Meta, Postman, Harness, Netflix, Snap, HackerOne, Rubrik and others.

Data SecurityArtificial Intelligence (AI)

Moonfrog labs

Machine Learning Engineer

Oct 2016 – Jul 2017 · 9 mos · Bengaluru, Karnataka, India

Founding Data Scientist for the company, built and scaled the data team and created the data infra
Developed an algorithm to catch and block fraud trades happening inside the game, resulting effectively in revenue increase by ~30% and the game becoming top grossing app in India
Proposed and A/B tested multiple features to increase the engagement and revenue leading to an increase in player engagement by ~300% and revenue by ~100% over a period of 8 months

Machine LearningFraud PreventionStrategy

Sandlayers labs pvt. ltd.

Co-Founder & Chief Architect

Aug 2015 – Dec 2016 · 1 yr 4 mos · Bengaluru, Karnataka, India

Technical Architect, responsible for creating the Software Infra and ML models.
We at Sandlayers Labs worked on solving the problem of making TV (Satellite television)
viewing more attractive in the current world of Netflix and Prime. We developed a way to accurately measure the ad impact for the TV viewing audience and show targeted Ads to the TV viewing audience.
Designed & developed a hardware + software infrastructure for measurement of TRP Ratings of broadcasted & streamed media (TV + Radio) which is patent pending.
We worked towards developing and bringing the concept of "Single Source Measurement" to Indian Advertising & Media Industry with the following tools:
1) Telefluence - Our Patent Pending Hardware for TV Audience Measurement
2) Survey Prompt - For easy survey rollouts "On the Go". Greatly reducing the time needed to conduct market research surveys.
3) Digifluence - First of it's kind Anonymized Digital Content Consumption & Activity Tracking System.
Top-5 Startups in Eureka2017 (~9000 teams participated) which is Asia's biggest B-plan competition (IIT-Bombay)
Top-5 Startups in Bzzwings2016 (~2000 teams participated) which is a B-plan competition by India's best Business School (IIM-Bangalore)
Our learnings from the failure summarized here : https://www.linkedin.com/pulse/my-learnings-from-first-failed-start-up-experience-aayush-agrawal/

New Business DevelopmentComputer VisionStrategy

Affine

Machine Learning Engineer

May 2015 – Aug 2015 · 3 mos · Bengaluru, Karnataka, India

Created a sales prediction and launch optimization model using ML techniques for launch of top-tier shoes for a sportswear manufacturer
Did Social Media Analytics to find the top organic influencers for the above brand.

Natural Language Processing (NLP)

Government of india

Summer Analyst

May 2014 – Jul 2014 · 2 mos · Bhopal, Madhya Pradesh, India

Social Research, Data Analysis and Organization
Created a rating system for measuring the performance of AWCs (a basic healthcare centre and pre-school in India) and helped find the drivers of performance using Statistical analysis