bot-detection

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#bot-detection

@nikitabier: This post led me to meet the most remarkable founder solving this problem. X is the greatest tool for business in the w…

X AI KOLs Following ↗ · 2d ago Cached

The post discusses the urgent need for bot detection and human verification due to agent swarms threatening websites, and mentions meeting a founder addressing this problem.

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#bot-detection

@paulg: This is a big enough problem that there's not just one startup idea here, but several. For example, there will probably…

X AI KOLs Following ↗ · 3d ago Cached

Paul Graham discusses the urgent need for bot detection and human verification tools in the face of AI agent swarms, highlighting a market gap and multiple startup opportunities.

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#bot-detection

@rohanpaul_ai: The harder problem probably will be distinguishing authorized automation from hostile automation. Both can look perfect…

X AI KOLs Following ↗ · 4d ago Cached

The discussion highlights the difficulty of distinguishing authorized from hostile automation, with bot detection becoming an urgent demand for businesses due to the rise of agent swarms.

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#bot-detection

WebDecoy for Vercel

Product Hunt ↗ · 5d ago Cached

WebDecoy for Vercel is a tool that monitors Vercel app traffic to identify fake crawlers and bots by analyzing log drains and verifying user agents, using deception without blocking legitimate users.

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#bot-detection

Arcjet

Product Hunt ↗ · 2026-09-15 Cached

Arcjet is a runtime security platform designed to protect AI agents by detecting threats like prompt injection, authorizing tool calls, redacting sensitive data, and blocking bots and abuse in real-time.

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#bot-detection

Detecting scraper bots through scroll behaviour

Hacker News Top ↗ · 2026-08-20 Cached

The article discusses using scroll behavior patterns to detect scraper bots by analyzing burstiness and memory metrics from human activity, improving on previous timing-based methods.

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#bot-detection

Evidence of Anti AI Russian bots.

Reddit r/singularity ↗ · 2026-08-13

A tweet claiming evidence of anti-AI Russian bots, suggesting coordinated opposition to AI developments.

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#bot-detection

@PrajwalTomar_: Founders are losing their entire Facebook ad accounts overnight for running AI agents. And they all made the same avoid…

X AI KOLs Following ↗ · 2026-08-03 Cached

Founders are losing Facebook ad accounts because AI agents bulk-pull data via the API, triggering Meta's bot detection. The fix is to use the API only for writes and read data from a data warehouse.

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#bot-detection

What Does It Take to Detect an AI Agent? Minimal Feature Sets for Behavioral Detection under Browser Automation

arXiv cs.AI ↗ · 2026-07-31 Cached

This arXiv paper proposes a three-class detection framework distinguishing humans, bots, and AI agents, showing binary classifiers systematically misclassify agents. It identifies minimal feature sets (e.g., mouse_event_rate and teleport_click_ratio) that achieve perfect agent recall across evasion levels.

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#bot-detection

Bot-detection startup Spur nabs $200M from Insight

TechCrunch AI ↗ · 2026-07-28 Cached

Bot-detection startup Spur Intelligence raised $200 million from Insight Partners to help enterprises distinguish human users from bot traffic, as bots now outnumber humans online.

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#bot-detection

Most Googlebots are fake

Lobsters Hottest ↗ · 2026-07-27 Cached

The article explains that many bots claiming to be Googlebot are actually fake, impersonating its user agent to bypass bot controls, and provides guidance on how to verify legitimate Googlebot traffic.

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#bot-detection

Bots can’t make threats or respond to threats in kind. That’s one way of determining who is a bot.

Reddit r/AI_Agents ↗ · 2026-07-22

A proposed method to distinguish bots from humans based on their inability to make or respond to threats.

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#bot-detection

It's an AI web, and we're just rats in the walls

Reddit r/ArtificialInteligence ↗ · 2026-07-13 Cached

An opinion piece highlights that AI bots now constitute a majority of web traffic, with AI-generated content flooding platforms like LinkedIn and Twitter, raising concerns about the diminishing role of human-created content and the ethics of AI training data.

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#bot-detection

Precursor

Hacker News Top ↗ · 2026-07-13 Cached

Cloudflare launches Precursor, a client-side session-based verification system that continuously collects behavioral signals to distinguish human traffic from automated bots, complementing Turnstile and extending detection across the full user journey.

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#bot-detection

Show HN: Fortress – a stealth Chromium so your agents stop getting blocked

Hacker News Top ↗ · 2026-07-08 Cached

Fortress is a stealth Chromium engine that modifies browser fingerprints at the C++ level to help scrapers and browser agents avoid detection by bot detectors like Cloudflare Turnstile, CreepJS, and Sannysoft. It operates as a drop-in CDP replacement for Playwright and Puppeteer.

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#bot-detection

Adversarial Creation and Detection of AI-Generated Social Bot Content

arXiv cs.CL ↗ · 2026-06-08 Cached

This paper presents an adversarial methodology for creating and detecting AI-generated social bot content, curating a multilingual, cross-platform dataset of paired human and AI messages. Training on this adversarial data yields detection that significantly outperforms existing content-based bot detection models in real-world settings.

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#bot-detection

software trying to catch software is officially a dead en [D]

Reddit r/MachineLearning ↗ · 2026-05-15

A reflective commentary on how generative AI has rendered traditional bot detection obsolete, prompting a shift toward biometric hardware verification like the Orb device for sybil resistance.

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#bot-detection

AI Agents are basically silent crawlers at this point

Reddit r/AI_Agents ↗ · 2026-05-14

The article highlights the prevalence of AI agents silently crawling websites and introduces Vouched's detection system, powered by the KYA-OS identity layer, which uses verifiable credentials to identify agents, bots, and human traffic via a simple prompt-based integration.

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#bot-detection

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue

arXiv cs.AI ↗ · 2026-05-14 Cached

This paper introduces Bot-Mod, a moderation framework that identifies malicious intent in multi-agent systems through multi-turn dialogue and Gibbs-based sampling, and presents a dataset from Moltbook for evaluation.

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#bot-detection

Known Agents

Product Hunt ↗ · 2026-04-28

Known Agents is a product designed to help website owners track and monitor bots and AI agents crawling their websites.

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