Our story begins with consulting. We conducted more than three hundred security audits, helping tech companies to protect their applications and millions of their customers. After completing the security audit, we would inevitably get asked for recommendations on security tools that could be embedded into their rapidly changing tech stack. Since we couldn’t find a good tool to recommend, we set off to develop Wallarm to address their challenges.
Security solution can't use static rules — it should understand assets it's protecting and adapt policies accordingly.
With machine learning, it's not only possible to profile the app on its traffic but also adapt to its changes.
Defenders have very limited resources to react. They should react only to dangerous events where the attacks are actually exploiting applications' flaws.
We are funded by prominent VCs
in Silicon Valley
April 24 - Techspective
Greater Transparency Leads to better CybersecurityApril 24 - Infosecurity Mangazine
Robots vs False Positives: AI the future of Application & API ProtectionMar 14 - Techspective
Why Artificial Intelligence Is Crucial for Effective CybersecurityNov 27 - App Developer Magazine
AI for cybersecurityNov 02 - Solutions Review
Where Application Security Solutions Fit in Modern Enterprise ComputingOct 23 - PRweb
Wallarm Joins Linux FoundationSep 14 - MarketWatch
Wallarm makes Inc. Magizine list of fastest growing companiesJun 22 - PRweb
Wallarm Node — now as a Google Cloud imageApril 26 - PRweb
Wallarm Empowers Developers with Automated Security Testing
