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Traditional AV, EPP, and EDR, have been promising prevention for years.
Yet every week, we see high profile breaches cost enterprises millions in ransom demands, and exponentially more in losses of revenue, brand affinity and customer trust.
The perception that traditional tools are enough to prevent breaches is far from the troops.
If it were, eighty three percent of CSos wouldn't be dissatisfied with their current EPP and EDR solutions.
We must do better.
Breeaches continue because tools using signatures and heuristics cannot stop unknown malware. Zero adversarial AI, or many file based attacks delivered in word, excel, and pdfs that have been weaponized to evade but with deep learning, prevention is possible.
Deep instincts, one of a kind deep learning framework, is a first for cybersecurity, trained on hundreds of millions of files to instinctively see and understand malicious content.
Deep instinct autonomously identifies and prevents even the most advanced threats faster than the blink of an eye. Where ML based tools can take minutes or hours to discover never before seen malicious threats. Deep instinct immediately identifies the DNA of an attack, stopping threats before they enter your environment.
Deep instincts stops more threats, faster, and with fewer false positives than any legacy EPP or EDR in the world.
Backed by the industry's only false positive warranty.
True prevention is the cure to malware and ransomware.
Prevention starts with deep instinct.