deepfake-detection
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iProov Wants Your Face to Prove It Was There
A face can be copied. A moment is harder to steal. iProov uses light, biometrics and a watchful security team to check who is really on the other side of the screen.
Adriana Gil Miner Has Spent a Career Making Data Speak. Now She Is Teaching Us Which Voices to Trust.
The arts-minded daughter of two engineers built her career finding human stories in numbers. At Pindrop, that instinct has led her to a harder question: what happens when a familiar voice is no longer proof of a familiar person?
The Internet Can Invent a Crisis Before Lunch. Blackbird.AI Wants to Spot It Before Breakfast
The New York startup treats online perception like a security surface. Its bet: the dangerous part is not one false post, but the network that gives it reach, speed and consequences.
Cyabra Learned the Hard Way: Finding the Bots Is Only Half the Job
The disinformation company spent four years perfecting detection before customers taught it the more valuable trick: turning a suspicious spike into a decision. Now the newly public firm must prove that narrative intelligence can become durable infrastructure, not just crisis software.
McAfee Sold the Corporate Fortress. Now It Wants to Be Your Family’s Scam Radar
The antivirus pioneer shed its $4 billion enterprise arm and bet the shield on ordinary people. Its new enemy is not just malware - it is the believable text, the fake face and the QR code at the parking meter.
Clarissa Cerda Learned to Navigate the Gray. Now the Gray Can Talk Back.
The former White House lawyer has spent three decades where technology outruns the rulebook. At Pindrop, she is helping decide what trust should mean when a familiar voice may be synthetic.
Vijay Balasubramaniyan Is Teaching Machines to Hear the Lie
A declined credit card sent a Georgia Tech researcher hunting for truth in the noise. Fifteen years later, his old question - who is really speaking? - has become the defining riddle of synthetic media.
Pindrop Bet the Voice Was a Fingerprint. Then AI Learned to Wear It
The Atlanta security company spent a decade proving that every call leaves clues. Deepfakes turned that niche insight into a much bigger business - and a warning for any company that still treats a familiar voice as proof.
Inscribe's $38 Million Lesson for AI Builders: Start With the Messy Queue, Not the Model
The fintech front door looked instant. Behind it sat a queue of people checking PDFs by hand. Inscribe built a business in that queue - then had to rebuild itself when higher rates and generative AI changed both its customers and the fraud it was chasing.
Modulate Wants AI to Hear What the Transcript Missed
The startup that learned to police Call of Duty voice chat is making a larger bet: the valuable part of a conversation is often the part a transcript throws away.
The Cyber-Only Fund That Bets on the People Who Built the Industry
A firm run entirely by cybersecurity operators, backing the founders trying to defend everything from cloud workloads to synthetic media - one narrow thesis, executed at scale.
Didit
Didit is a San Francisco-based identity and fraud infrastructure company building one API for KYC, KYB, AML, biometrics, liveness and transaction monitoring across 220+ countries and 14,000+ document types. Founded by identical-twin brothers Alberto and Alejandro Rosas, it offers 500 free verifications per month forever and pay-as-you-go pricing from $0.33 per KYC check, aiming to become the identity layer for an internet where telling humans from bots is getting harder.
Alice (Formerly ActiveFence)
Alice, formerly ActiveFence, is an Israeli-American AI safety and security company that acts as a protective layer for online platforms and AI systems. Founded in 2018, it uses a decade of real-world abuse intelligence to detect and stop harms such as fraud, deepfakes, child exploitation, disinformation, prompt-injection attacks, and jailbreaks. Its technology helps protect roughly 3 billion people and secures 7 of the 10 largest AI foundation models, serving customers including Amazon, TikTok, Nvidia, and Cohere.
Beyond Identity
Beyond Identity is a New York-based identity security company that eliminates passwords and identity-based attacks by binding authentication to cryptographic, device-resident credentials. Its Identity Defense Platform delivers phishing-resistant MFA, continuous device trust, and deepfake protection for meetings, giving enterprises deterministic proof of who - and what device - is accessing their systems. Founded in 2019 by Silicon Valley veterans, the company has raised $205M and reached a $1.1B valuation.
Copyleaks
Copyleaks is a New York-based content authenticity company that uses AI to detect plagiarism, AI-generated text, source code, and increasingly images and video. Founded in 2015 by Alon Yamin and Yehonatan Bitton, it serves educational institutions, publishers, and enterprises that need to verify whether content is original, licensed, or machine-generated, and it claims over 99% accuracy across 30+ languages with integrations into major learning management systems.
Illuma
Illuma (Illuma Labs) is a Plano, Texas fintech that secures phone conversations for credit unions and community banks. Its flagship product, IllumaSHIELD, uses AI-powered passive voice biometrics to verify callers in seconds - replacing security questions and PINs - while a dedicated deepfake-detection engine and layered multifactor checks defend contact centers against synthetic-voice and social-engineering fraud.
imper.ai
imper.ai is a New York-based cybersecurity company that builds an identity verification platform purpose-built for the workforce. It prevents impersonation and account takeover across the employee lifecycle - from hiring to help desk account recovery - by pairing an Impersonation Detection Engine that reads hundreds of network, device, and behavioral signals with an AI-driven contextual verification layer that confirms the real person behind a session using role-specific questions that cannot be sourced from breached data. Founded in 2024 by veterans of Israel's Unit 8200, the company launched publicly in December 2025 with $28M in total funding backed by Redpoint Ventures and Battery Ventures.
Milind Borkar
Milind Borkar is the founder and CEO of Illuma, a Plano, Texas company that uses passive voice biometrics and synthetic-voice detection to authenticate callers and stop phone-channel fraud at credit unions and community banks. He holds a PhD in electrical and computer engineering from Georgia Tech, is named on 21 patents, and spent a decade at Texas Instruments launching more than 50 products before founding Illuma in 2016.
Neural Defend
Neural Defend is a New York and Delhi-based cybersecurity startup building multimodal deepfake detection for enterprises. Founded in 2024 by MIT- and Intel-affiliated researchers, its proprietary AI spots AI-generated faces, manipulated video, cloned voices, and forged documents in real time - delivered as developer-friendly APIs and SDKs, plus on-premises deployments for banks, fintechs, and government. The pitch: make catching a deepfake as easy as an API call.
Clarity
Clarity is an AI cybersecurity company that detects deepfakes, voice clones, and synthetic identities. Founded in 2022 by alumni of Israel's 8200 unit and Stanford, it began as a broad deepfake-forensics platform and has sharpened into hiring security - an end-to-end overlay that verifies applications, spots manipulated faces and voices in live video interviews, and flags proxy candidates before a fraudster ever gets onboarded. It raised a $16M seed in 2024 led by Walden Catalyst Ventures and Bessemer Venture Partners.
Piyush Verma
Piyush Verma is the co-founder and CEO of Neural Defend, an AI cybersecurity startup that detects deepfakes across video, audio, images, and real-time streams. A two-time founder and former MIT, Harvard, and Tsinghua researcher, he previously built Manush Labs, an impact accelerator backed by billionaire Desh Deshpande, and founded the MIT India Initiative. A Forbes 30 Under 30 honoree and MIT Tata Fellow trained in design at IIT Delhi, Verma now works to defend real human identities against synthetic deception, with Neural Defend raising $600K in pre-seed funding and partnering with Zee News on India's first media-led deepfake verification system.
Loti AI
Loti AI is a Seattle-based startup that scans the public internet to find, verify, and remove unauthorized uses of a person's face and voice - including deepfakes, AI impersonations, scams, and leaked content. Founded in 2022 by Luke Arrigoni, Rebekah Arrigoni, and Hirak Chhatbar, the company began protecting A-list celebrities through talent agencies like WME and CAA, then opened a free consumer tier so anyone can claim control of their own likeness. Its automated takedown engine removes flagged content with roughly a 95% success rate, typically within about 17 hours.
Outtake
Outtake is an AI cybersecurity company that deploys autonomous agents to detect, investigate, and dismantle digital threats - impersonation, phishing, fake domains, cloned apps, malicious ads, and deepfakes - across the open web, social platforms, app stores, and the dark web. Founded in 2023 by ex-Palantir engineer Alex Dhillon, the New York company turns threat detection-to-takedown into a single automated workflow, averaging takedowns in about 14 hours, and protects brands including OpenAI, NVIDIA, and Anthropic.
Luke Arrigoni
Luke Arrigoni is the founder and CEO of Loti, a Seattle startup that hunts the internet for deepfakes, impersonators, and unauthorized images of its users and gets them taken down - usually within 17 hours. A mathematics graduate turned data scientist, he spent over a decade running the AI consultancy Arricor for clients like Getty Images and AT&T before co-founding Loti in 2022 with his wife Rebekah Arrigoni. The company scans roughly 100 million images and videos a day, has captured a large share of the A-list celebrity market, raised a $16.2M Series A led by Khosla Ventures, and now offers free likeness protection to everyday people.
Incode
Incode is an AI-powered identity verification platform that lets businesses confirm who is really on the other side of a screen — in under two seconds. Founded in San Francisco in 2015, the company has built a modular biometric platform used by banks, hotels, hospitals, and gaming companies across more than 190 countries. Its flagship product, Incode Omni, handles everything from document verification and facial recognition to AML screening and liveness detection, processing more than 100 million user verifications per year. Backed by General Atlantic, SoftBank, J.P. Morgan, and Capital One Ventures at a $1.25 billion valuation, Incode has been named a Gartner Magic Quadrant Leader for Identity Verification two consecutive years running.
Ricardo Amper
Ricardo Amper is the Founder and CEO of Incode Technologies, a San Francisco-based AI-powered identity verification unicorn valued at $1.25 billion. A Mexican-born serial entrepreneur with two prior exits totaling ~$200 million, Amper built Incode from a near-failed social media startup into a global leader in biometric authentication and KYC/AML compliance — processing over 4 billion identity checks for clients including Citi, Nubank, Ford Credit, and government agencies. He is a World Economic Forum Technology Pioneer contributor, a champion of Gen Z hiring, and the driving force behind Incode's DeepSight deepfake-detection platform.
Hive
Hive is a San Francisco AI company that sells pre-trained machine learning models as APIs, focused on content moderation, AI-generated content detection, and visual understanding. Founded in 2013 by Kevin Guo and Dmitriy Karpman, Hive powers trust and safety at platforms like Reddit, BeReal, and Chatroulette, and runs deepfake detection contracts with the U.S. Department of Defense and Department of Homeland Security.
Paravision
Paravision is a San Francisco-based Identity AI company building face recognition, liveness, deepfake detection, and age estimation tools used by governments, airports, banks, and stadiums worldwide. Rebranded from Ever AI in 2019 after topping NIST's facial recognition leaderboard, it sells ethically trained biometric SDKs to enterprises and Five Eyes partners.
Jake Seid
Jake Seid is Co-Founder and General Partner at Ballistic Ventures, a cybersecurity-only venture capital firm managing over $700M in assets. A MIT-trained engineer with the school's highest student honor, he helped commercialize broadband at Cisco, launched Lightspeed Venture Partners as a founding team member, ran the 800-person team at Auction.com through its $1.6B acquisition, then backed 12 unicorns solo at Stone Bridge Ventures before co-founding Ballistic to go all-in on securing the digital world.
Grace Chang
Grace Chang is the Taiwanese-American founder and CEO of Kintsugi, the Berkeley-based startup that built AI capable of detecting clinical depression and anxiety from just 20 seconds of free-form speech. A five-time entrepreneur with roots in signal processing and consumer tech, she raised $28 million, launched Japan's default mental health screener, and built the world's largest annotated voice dataset for mental health machine learning - before making all of Kintsugi's research and technology open source in early 2026 after FDA regulatory hurdles made the venture-backed model unsustainable.