AI for trust & security teams

Fight AI
with AI.

InfoHawk detects, analyzes and neutralizes online deception at scale — giving enterprises a real-time signal on every URL, ad, account, and asset their users encounter.

infohawk · MCP server
connected
check_url tool call 124 ms
JSON
Verdict
 
Risk score
0/100
Contributing signals
Domain registered 4 days ago
+0.30
Cloaking / TDS redirect chain
+0.24
Brand-impersonation login form
+0.18
Suspicious TLD (.cc)
+0.15
Shared IP with 23 flagged domains
+0.09
BUILT & BACKED BY PEOPLE FROM
AnthropicAppNexusCentigradeGitHubGoogleLinkedInMetaMicrosoftOpenAIAnthropicAppNexusCentigradeGitHubGoogleLinkedInMetaMicrosoftOpenAI
The problem

The internet has become a massive deception engine.

Bad actors exploit every digital channel to perpetrate fraud at unprecedented scale — across jurisdictions, platforms and asset types — making attribution and enforcement nearly impossible without specialized intelligence.

$442B
Lost to online scams worldwide in 2025
Global Anti-Scam Alliance
73%
Business leaders say they or someone in their network was hit by cyber-enabled fraud
Global Cybersecurity Outlook 2026
22.4%
Annual growth in business email compromise through 2030
Grand View Research
$467B
Annual global trade in counterfeit goods
EUIPO + OECD
AI is changing the math

AI makes it cheaper and faster to run a scam than ever before.

  • Generative tools clone legitimate websites, ads, and brand assets in seconds with a single prompt.
  • AI can personalize content on every send, slipping past signature-based filters while customizing attacks by impersonating trusted brands, businesses, and people.
  • Campaigns are cheap to run, can launched from anywhere in the world, and automated across platforms.
−96%
Cost per successful phishing email
IBM A/B test, using ChatGPT to generate phishing copy
71%
of U.S. companies saw more AI-powered fraud last year
Pindrop, 2025
100X
speed of copying a website vs. prior approaches
Observed across InfoHawk's seed corpus
The need for speed

Trust, rebuilt for AI speed.

Traditional machine learning approaches are too slow for the new AI-generated fraud landscape. InfoHawk detects, shares, and prevents, deciding in 300ms with no humans in the loop.

Ingestion and detection

01

Live online sweeping across every modality adversaries use. Emerging fraud patterns are continuously integrated to keep you a step ahead.

  • Multimodal — text, image, video, domain, ip addresses, phone, and social identifiers
  • Automated enrichment with ground truth sourcing and validation
  • Extensible fraud-detection library and pipeline

Signal fusion and analysis

02

Correlation and analysis of threat signals across all platforms and customers — so fraud flagged anywhere online protects everyone.

  • Cross-platform identity and creative asset matching
  • Fuzzy and semantic clustering that defeats evasion
  • 100× faster · 1/100th the cost of in-house reviews

Prevent abuse in real time

03

Our scoring API returns a verdict in under 300ms — fast enough to block at the point of action, on a sign-up, payment, or click.

  • 300ms scoring API — drop-in for sign-up, payment, and click flows
  • Explainable verdicts — factors and weights on every call
  • Live analysis of user generated content and signals

Real-time analysis, in any workflow.

Detection, signal-sharing, and prevention — available as a REST API and an MCP server, so it drops into your product, pipeline, or AI agent.

REST API
Score any asset over HTTPS, in milliseconds.
MCP server
Give your agents InfoHawk as a native tool.
Agent Investigator
Investigate and explore the dataset in a guided workspace — no code required.
Backed by
Moonshots Capital

InfoHawk is backed by Moonshots Capital and prominent angels. More here.

Score a real asset.
Get the verdict.

We're opening the beta soon! Join us on a call to learn about our capabilities and evaluate a small batch of suspicious assets on a live call.