The startup develops cybersecurity software that detects and mitigates malicious web traffic in real time, specifically targeting threats such as credential stuffing, account takeovers, and data-scraping attacks. By protecting websites and web applications from automated cyber threats, the platform ensures a secure online experience for businesses and their users.
Funding
$62.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Websites and applications are increasingly vulnerable to automated cyberattacks, including credential stuffing, account takeovers, and content scraping, which can lead to financial losses, reputational damage, and degraded user experience. Traditional bot management solutions often fail to keep pace with evolving adversarial techniques, resulting in slower response times, vulnerability to retooling, and constant friction for legitimate users.
Solution
Kasada provides a proactive bot defense platform that detects and mitigates automated threats in real time, protecting websites, mobile apps, and APIs from malicious traffic. By focusing on the adversarial mindset, Kasada identifies and frustrates attackers with dynamic defenses that adapt faster than they can retool. The platform employs invisible client-side challenges, server-side detection, and machine learning to accurately identify and block bots without impacting legitimate user experience or requiring CAPTCHAs. Kasada's architecture scales instantly to meet traffic demands, providing actionable insights and visibility into all requests.
Target Audience
Kasada targets businesses across various industries, including e-commerce, retail, financial services, SaaS, travel, and media, that require robust protection against automated threats such as account takeover, API abuse, checkout fraud, and content scraping.
Features
- Dynamic detection methods that adapt to evolving bot attacks in real-time
- Invisible client-side challenges that frustrate attackers without interrupting legitimate users
- Machine learning-powered analytics that identify anomalous session behavior in milliseconds
- Client validation to ensure data integrity and detect tampering attempts
- Threat intelligence extracted from botting communities to anticipate future attack methods
- No-code managed proxy option for high throughput and zero setup
- Lightweight JavaScript tags for web applications and iOS/Android SDKs for mobile apps
- Integration options including NPM packages for CDN edge functions