CYSANA  detects  more  MALWARE  than  any  other  Tool

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The ultimate all in one tool
More granular 
Atomic level/binary level
Line-by-line in code
Includes highly innovative application of recent 
Machine Learning,
Natural Language Processing
and Neural Network research

Your company needs to detect as many vulnerabilities as it can to limit risk

SEVEN  FILTER  APPROACH

00010101010101010010101010111010100010101010101010
0101010
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Fingerprinting
94-97%
00010101010101010010101010111010100010101010101010
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Digital Certificate
95%
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Neural Networks
99%
00010101010101010010101010111010100010101010101010
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A

B

C

NLP
9X%
99+%

We put our own spin on traditional malware filters, as well as applying novel ones

So  many  types  of  binaries!

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All binaries are prone to the same risks, not just the ones in the most common file formats

RANSOMWARE  attack  cycle

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Best to detect malware (ransomware) and vulnerabilities as early in the attack cycle as possible

HOW  IT  WORKS

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Install on each endpoint
One-time audit 
of all 
installed software
Daily cloud updates
to database 
and ML model
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Real-time scan of only new software downloads/patches keeps company up to date 
without slowing down network
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Reporting to supplier and/or directly to the network host

After an initial audit, the system checks every new software update in real-time without slowing endpoints down

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Deep  Learning  Model Architecture  for  Functions

DEEP  LEARNING  Model Architecture

for  BITS  AND  BYTES AND  IMAGE  ANALYSIS

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Chihuahua  vs.  muffin:  

AI-based image  classification

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Is it a cute little dog…or a tasty breakfast pastry?

MALWARE  EXECUTABLE  OR  BENIGN  FILE?

Malicious

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After decompiling executable files we analyze them as bits and bytes and also convert them to 2D images to discover spatial correlations
that look like malware

Benign

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The system trains on images of thousands of good and bad files
to recognize differences in how files look
when they do and do not contain malware

CORE

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David
CEO

Pavlo
Dev Sec Ops

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Selva
Machine Learning

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Georgia
Deep Learning

INTERNS

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Jennifer
Brand

Farhan
Knowledge Mgmt

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Sushama
Data Scientist

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Abel
Operations

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Mohammad
Image Data

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Jeremy
Partnerships

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Prathamesh
Database

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Sakif
Networking

ADVISORS

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Arghir
Networks Advisor

Mohan
Anomaly Advisor

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Santhosh
Research Scientist

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Andreas
Cybersecurity

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Duin
Neural Networks

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Phuong
Controlling

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Sofiia
Administration

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Cai
Interface

Pramod
Data Fusion Advisor

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Cara
Data Visualization

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Rashed
Scrum Master

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Michelle
Marketing

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Christian
Finance

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Samantha
Website

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Ketu
Backend

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Arsen
Scaling

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Ruben
Business Analyst

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Dineesha
Cloud

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Thomas
Streaming

Alan
Commercialization

Daniel
Product

 team

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Kasia
Time Series

Barry
Business Advisor

AWARDS

Most innovative cybersecurity startups worldwide for banks (Global)
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Tech for Integrity Challenge – Top 10% of fintechs (Global)
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ISV National Award – 1st Place Business Innovation (Germany)
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Cybersecurity Fintech Challenge – Finalist Top 5 (Canada)
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[Cysana's] approach appropriately builds on previous research.…”
US Department of Homeland Security
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Named to most innovative cybersecurity SMEs in the UK 2 years in a row     
UK Government Cybersecurity Directorate (DCMS)
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Awarded a 1.2 million CAD R&D matching grant by PROMPT
Quebec Ministry of Economy and Innovation – PICQ program
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Spoke at Summer Davos and participates in anti-corruption initiative
WEF Tech for Integrity Community 

Copyright © 2022 Cysana