High-Load Services

What threatens High-Load Services?

Low-frequency DDoS attacks
A distributed attack originating from multiple
IP-addresses, where each source mimics normal user activity, making it hard to be detected

Attacks on APIs
Business logic exploits, including fraudulent activities like fake orders, scalping, or SMS bombing, which can disrupt operations and

Denial of service

A targeted flood of synthetic requests intentionally overwhelms server resources, denying access to legitimate users (for extortion or disruptive purposes)

Service failures, unauthorized access and increased operational costs

Infrastructure overload

Increased consumption of resources (e.g. CPU, memory) without an increase in legitimate user traffic

Increased infrastructure costs, degradation
of network equipment, inability to handle peak loads and reduced scalability

API errors

The server may return error codes such as HTTP 503 (Service Unavailable) or 429 (Too Many Requests), API endpoints may cease functioning or become temporarily inaccessible

Poor performance, frequent errors, loss of user trust, direct financial losses

Prevents over 99% of network attacks: protects TCP and UDP protocols and ensures the availability of services running on SMTP, FTP, SSH, VoIP, VPN, and many other protocols

Detects attacks in <1ms: responds instantly to threats with Always-On filtering, preventing potential damage before it occurs

Defends against DDoS attacks without volume limits: up to 700 Gbps and 400 Mpps represent record-breaking attacks that our solution has successfully defended against. This includes stable filtering for 300+ hours during a continuous DDoS attack

Protection against L3-L7 DDoS attacks, up to 700 Gbps and 400 Mpps per device

Own geo-distributed Infrastructure

Located in Tier-3 data centers or higher, with at least two independent upstreams supporting flowspec on each node, full component redundancy, and no single points of failure

Filtering parasitic load on the application and IT infrastructure optimizes total cost of ownership (TCO) and increases the efficiency of existing IT resource usage