Protect against what most can’t even see
Ammune™ is a revolutionary “unsupervised learning” technology that protects from AI-driven botnet attacks
The new reality of AI-driven botnet attacks
Modern botnets upgrade the control on the bots activity with AI capabilities, which can continuously optimize the attack success against the defense systems. It can seriously damage web systems operations and business activities in seconds, while rarely getting caught in real time by existing defense layers. Traditional firewall technologies lag far behind this evolving threat, as they’re built to protect from simple bot attacks. Therefore a new generation of AI-based defense systems that can trace down such attacks, in real time and with high accuracy, are critical.
Ammune™ made by L7 Defense identifies the most complex malicious “patterns” from the traffic that aren’t even visible to other tools. It is a real time “unsupervised learning” technology inspired by the natural immune system that performs without a need for pre-training. The resulting patterns and output “signatures” are extremely accurate and algorithmically controlled by the target error rate (“False Positive”).
Ammune™ protects from the most dangerous AI-driven IoT botnet attacks as well as from previous generations of botnet technologies, as a standalone system, an embedded system or a cloud solution.
The Challenge
Botnets made of millions of devices (“IoTs”) are currently becoming AI driven. They can shutdown data center operation in seconds.
Technology
Ammune™ is an “unsupervised learning” technology that is inspired by the natural immune system in our body. Its operation is completely autonomous.
Products
Ammune’s™ platform technology based products protect against a wide spectrum of network and applicative attacks.
L7 Defense makes Security Simple
Privacy
“Local” installation (on-premise, cloud, or hosted)
Real-time
Identifies and mitigates attacks in seconds
Accurate
The error rate is kept by design close to zero
Adaptive
Auto-adapted to applicative changes
Elastic
Scales its response to the attack volume
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