System Online|Autonomous Mode
Behavioural Research // Open Sources

The behavioural data behind autonomous protection.

Research that informs the behavioural ontology — grooming patterns, sextortion progression, athlete and influencer abuse, and the linguistic markers that machine systems detect long before a human reviewer would. Sourced from law enforcement, academic studies, and child safety organisations.

// Section 01 — Overview

Overview

Our research combines data from multiple reputable sources — law enforcement agencies, child safety organisations, sports governing bodies, and academic studies — to present a clear picture of the online risks facing vulnerable populations. We examine online abuse targeting professional athletes and public figures alongside the rise in online grooming and sextortion targeting children. The findings inform the behavioural patterns the system detects at scale.

// Section 02 — The AI Inflection Point

The AI inflection point

The single biggest shift since this page was last updated: generative AI has moved from an emerging risk to the primary accelerant across every category of online child harm. It has turned grooming into an automated, scalable activity, collapsed the time-to-harm in sextortion to a matter of hours, and put deepfake abuse within reach of anyone.

1.2M

children had their images manipulated into sexually explicit deepfakes in a single year — in some countries 1 in 25 children.

UNICEF, ECPAT International & INTERPOL — Disrupting Harm Phase 2 (Feb 2026)
+1,325%

increase in NCMEC CyberTipline reports involving generative AI in one year (4,700 → 67,000).

NCMEC / Thorn — 2024 CyberTipline Report analysis
64×

jump in generative-AI child-exploitation reports to NCMEC in six months (6,835 → 440,419).

NCMEC mid-year data (via HSToday)
+26,362%

rise in AI-generated child sexual abuse videos found by the IWF (13 → 3,440) — 2025 was its worst year on record.

Internet Watch Foundation (Jan 2026)
8,029

AI-generated images/videos of realistic child sexual abuse identified by the IWF in 2025 — 65% in Category A, the most severe.

Internet Watch Foundation — "Harm without limits" (Mar 2026)
296

instances of grooming and sexual exploitation logged in just 50 hours of test chats with AI companion chatbots posing as minors.

Transparency Coalition (Oct 2025)

AI is now the accelerant, not the exception

  • Scale without skill: AI tools have converged so abusive imagery can be generated with minimal effort and no technical expertise, removing the historic barrier to entry for offenders. (IWF, 2026)
  • Automated grooming at volume: offenders deploy AI chatbots that mimic a child’s speech, letting one perpetrator groom dozens of children simultaneously; NCMEC logged ~3,000 reports of people asking chatbots to assist with grooming or exploitation in 2025. (Bloomberg / NCMEC, 2026)
  • “Nudification” of real children: a significant share of new material is real children’s photos altered by AI, extending the harm to children who were never physically abused. (UNICEF, 2026)
  • On 19 January 2026 a coalition of UN bodies issued a Joint Statement on AI and the Rights of the Child, warning that society is collectively unable to cope with the scale of harmful AI-generated content. (UN News, 2026)

Where Guardii operates

Guardii is built for exactly this inflection point. Its real-time detection of grooming, sextortion, and AI-generated and deepfake child sexual abuse material runs inside children's direct messages across platforms — intercepting threats at the point of contact rather than removing material after it has already spread. As AI lowers the cost of abuse, pattern-based detection that scales with the threat is the proportionate response.

// Section 03 — Athletes & Public Figures

Online abuse against athletes & public figures

Professional athletes face unprecedented levels of online harassment, with abuse intensifying during major tournaments. Research from FIFA, FIFPRO, and World Athletics reveals systemic patterns of discriminatory behavior targeting players based on performance, race, and gender.

>50%

of players in major finals received discriminatory abuse

Source: FIFPRO

2.6M

abusive comments auto-hidden by FIFA's protection system since 2022

Source: Reuters

+29%

more likely for women athletes to be targeted vs men at World Cup

Source: FIFA

30%

of verified abuse at Paris 2024 Olympics was sexualized

Source: World Athletics

40+

languages covered by FIFA's Social Media Protection Service across 211 member associations

Source: Reuters

90%+

reduction in athlete exposure to discriminatory content through automated moderation

Source: FIFA

Player Abuse Rates at Major Tournaments

Percentage of players receiving discriminatory abuse on social media during tournament finals

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Source: FIFA and FIFPRO studies on social media abuse during EURO 2020, AFCON 2021, and World Cup tournaments

Gender Disparity in Athlete Targeting

Women athletes face significantly higher rates of online abuse compared to their male counterparts

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Source: FIFA World Cup data showing 29% higher targeting rate for women athletes

Key Findings

  • Discrimination is widespread: Over half of all players in major tournament finals experience discriminatory abuse, with racism being the most common form.
  • Women face disproportionate targeting: Female athletes are 29% more likely to receive abuse than male athletes, with 30% of abuse being sexualized in nature.
  • Automated moderation is effective: FIFA's Social Media Protection Service has hidden 2.6 million abusive comments and reduced athlete exposure to harmful content by over 90%.
  • Tournament intensity correlates with abuse: Abuse rates increase during high-stakes matches, with AFCON 2021 and EURO 2020 seeing over 50% of players targeted.

Protection at Scale

FIFA's Social Media Protection Service now covers all 211 member associations, monitoring content in 40+ languages and auto-hiding abuse before athletes see it. Independent studies confirm that automated moderation reduces athlete exposure to discriminatory content by over 90%, demonstrating that AI-powered protection systems can effectively shield public figures from the worst forms of online harassment.

// Section 04 — Women & Influencers

Online abuse against women & influencers

Women with public online profiles—including influencers, content creators, journalists, and athletes—face dramatically higher rates of online abuse, harassment, and threats compared to the general population. Research from UNESCO, Pew Research Center, and eSafety Commissioner reveals systemic patterns of gender-based violence targeting women in public-facing roles.

73%

of women journalists have faced online violence, with 25% receiving physical threats and 18% sexual threats

Source: UNESCO

1 in 3

women experience online abuse in a work context, with higher rates for those with public online/media profiles

Source: eSafety Commissioner

3× Higher

Women are three times more likely than men to experience sexual harassment online (16% vs 5%)

Source: Pew Research Center

36%

of women under 40 have received unsolicited sexual photos, with 67% arriving via social media

Source: YouGov

7.1%

of tweets sent to women politicians and journalists are abusive or problematic

Source: Amnesty International

84% More

Black women are 84% more likely to be targeted with abusive tweets than white women

Source: Amnesty International

Sexual Harassment Rates by Gender

Women experience sexual harassment online at dramatically higher rates, with young women under 35 facing the highest risk

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Source: Pew Research Center study on online harassment patterns

Key Findings

  • Public-facing women are disproportionately targeted: Women with public online or media profiles (creators, influencers, journalists) experience significantly higher rates of abuse compared to the general population.
  • Sexual harassment is pervasive: Women are three times more likely than men to experience sexual harassment online, with rates reaching 1 in 3 for women under 35.
  • Physical and sexual threats are common: Among women journalists who face online violence, 25% receive direct physical threats and 18% receive sexual threats—a pattern similar across public-facing roles.
  • Intersectionality matters: Black women are 84% more likely to be targeted with abusive content than white women, highlighting how racism and sexism compound online.
  • DMs are a primary attack vector: 67% of unsolicited sexual images arrive via social media, with Instagram reporting that high-profile women are "bombarded" with abusive content through direct messages.

Direct Message Risk

Instagram has implemented explicit-image blocking in DM requests after high-profile women reported being bombarded with abusive and sexually explicit content. The platform acknowledges that women with public profiles face persistent harassment through direct messaging, with cyberflashing (unsolicited sexual images) being a widespread problem. 67% of such images are sent via social media platforms, making DM protection essential for influencers and public figures.

Source: The Guardian

// Section 06 — Global Impact

Global impact

Regional Analysis

North America

186K+ reports in 2023

  • Highest reporting capabilities with thousands of grooming and sextortion reports

  • FBI issued nationwide alerts due to "explosion" of sextortion cases

  • NCMEC reported a 132% increase in grooming cases from 2022 to 2023

Online exploitation is a global problem requiring coordinated international responses. While some regions have more robust reporting systems, all areas face significant challenges that require technological solutions like Guardii to detect and prevent harm.

// Section 07 — Enforcement

Law enforcement responses

Law enforcement agencies worldwide are struggling to keep pace with the explosion in online exploitation cases:

Average Case Time

8-12months

Time required for online grooming case investigation

Cross-Border Cases

16+months

Typical time to resolve international exploitation cases

Prosecution Rate

12%

Of reported grooming cases result in successful prosecution

Sextortion Prosecutions

8%

Even lower prosecution rate for sextortion cases

Resource Shortage

67%

Of agencies report being understaffed for digital crimes

These statistics highlight the critical need for preventative measures like Guardii that can stop exploitation before it occurs rather than relying solely on after-the-fact law enforcement.

// Section 08 — The Global Policy Response

The global policy response

Within roughly a year, a wave of landmark legislation has landed — Australia's under-16 ban, the US TAKE IT DOWN Act, and the UK Online Safety Act — alongside a new UN normative baseline. These measures signal real political will, but most operate at the blunt end of the spectrum: account-level prohibition and mass age-verification.

Australia

Under-16 social media ban

World-first law in force 10 Dec 2025; by mid-January 2026 the government reported 4.7M+ under-16 accounts deactivated, removed or restricted, with platforms facing fines up to AUD $49.5M for systemic non-compliance.

DLA Piper / Wikipedia — Online Safety Amendment
United States

TAKE IT DOWN Act

Signed 19 May 2025; criminalises non-consensual intimate images including deepfakes and requires covered platforms to remove reported content within 48 hours (full compliance by May 2026).

Congress.gov
United Kingdom

Online Safety Act — age checks

From 25 July 2025, sites must use “highly effective” age checks; Ofcom can fine non-compliant firms up to 10% of global revenue and pursue senior-manager liability.

Ofcom
United Nations

Joint Statement on AI & the Rights of the Child

The UN bodies’ Joint Statement (19 Jan 2026) and UNICEF’s Guidance on AI and Children 3.0 (Dec 2025) set a global normative baseline for protecting children from AI-driven harm.

UN News

Prevention is the gap these laws leave open

Every major authority — Europol, the WeProtect/Columbia University Global Threat Assessment, NCMEC, UN Women and UNICEF — now converges on the same conclusion: detection and removal after harm is failing to keep pace, and the decisive shift must be toward prevention at the point of contact, in the private messaging and gaming spaces where harm begins. Blanket bans restrict access for compliant families and push determined offenders to unmonitored channels; mass age-verification adds its own privacy burden. Guardii delivers the child-protection goal these laws pursue — without the collateral cost — by intercepting grooming, sextortion and abuse in real time, where it actually happens.

// Section 09 — Linguistic Analysis

Grooming strategies & linguistic analysis

Research by Black et al. (2015) analyzing conversations between online predators and targets reveals several key grooming strategies:

Rapid Trust Development

Predators quickly establish trust through excessive compliments, showing interest in the child's problems, and providing emotional support.

Identity Deception

Appearing relatable by pretending to be younger, sharing similar interests, or creating false backgrounds to gain trust.

Sexual Desensitization

Gradually introducing sexual topics in conversation to normalize inappropriate discussions and content over time.

Isolation Tactics

Encouraging secrecy from parents and friends, positioning themselves as the only person who understands the child.

Boundary Testing

Consistently testing limits to gauge compliance levels and assess how far they can push the child.

The research highlights that online grooming is not strictly linear but often involves multiple tactics simultaneously. These insights inform Guardii's approach to detecting potentially harmful conversations.

// Section 10 — Protection

Protection recommendations

Protection Recommendations

83%

of exploitation occurs in private messaging

Focus on Direct Messaging

83% of exploitation occurs in private messaging environments, making these platforms critical for protection efforts.

Ready to Protect Your Children?

Book a consultation today to learn how Guardii can protect your family from online threats.

// Section 11 — Statistical Evidence

Statistical evidence

Online Grooming Statistics

Grooming incidents have shown an alarming increase year over year, with experts concerned that reported cases represent only a fraction of actual occurrences.

*2024 and 2025 data projected based on current trends

3,600%+

Increase in reported cases since 2020

186,819

Reported grooming cases in 2023

132%

Increase from 2022 to 2023

195K

Projected cases for 2025

10%

Estimated reporting rate (90% unreported)

Sextortion Statistics

Financial sextortion has emerged as a rapidly growing threat, particularly targeting teenage boys through social media and gaming platforms.

*2024 data projected based on current trends

149%

Increase in financial sextortion (2022-2023)

26,718

Financial sextortion reports in 2023

Boys

Primary targets of financial sextortion

35,229

FBI sextortion complaints in 2020

High

Risk level projected for 2024

Why These Statistics Matter

The dramatic rise in both grooming and sextortion cases demonstrates the urgent need for better protection systems. Current safety measures are insufficient given the scale and growth of these threats.

// Section 12 — Sources

Research sources