Human Defense Platform

Detects automation through layered client-side and server-side detection models - behavioral, device, network, and challenge signals - resilient to AI-driven evasion and CAPTCHA-solving services.

Establishes and manages trusted relationships with legitimate AI agents: an out-of-the-box library of known agents plus granular per-agent permissions and policies governing what each agent may access and do.

Determines and surfaces the intent behind automated traffic - distinguishing malicious bots, benign automation, LLM crawlers, and human-delegated AI agents - so policy decisions rest on what the traffic is trying to do, not only whether it is automated.

Protects account creation, login, and session flows against credential stuffing, account takeover, and fake-account abuse, building per-account trust from user, device, and session signals.

Protects high-value transaction flows (checkout, payments, hype sales, registrations) from automated abuse while prioritizing legitimate human and agent-delegated transactions.

Detects and governs content scraping, including LLM training and retrieval crawlers: blocking value-damaging scrapers while permitting or monetizing sanctioned automated access.

Explains why traffic was classified as bot, agent, or human in human-readable terms (reason codes, telltales, AI-generated detection summaries) so customers can audit and tune decisions.

Keeps automated traffic out of marketing analytics and ad spend: clean-traffic reporting, ad-fraud protection, and integrations that reconcile bot activity with marketing and e-commerce platforms.