top of page

CYSANA  detects  more  MALWARE  
than  any  other  Tool

c1.PNG
c2.PNG
c3.PNG
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
FINGER.PNG
Fingerprinting
94-97%
00010101010101010010101010111010100010101010101010
0101010
dig.PNG
Digital Certificate
95%
00010101010101010010101010111010100010101010101010
0101010
c3.PNG
Neural Networks
99%
00010101010101010010101010111010100010101010101010
0101010

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!

bin2.PNG

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

RANSOMWARE  attack  cycle

RansomwareAttackCycle.PNG
Screen Shot 2022-08-16 at 12.37.22 PM.png

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

HOW  IT  WORKS

1.PNG
2.PNG
3.PNG
4.PNG
5.PNG
Install on each endpoint
One-time audit 
of all 
installed software
Daily cloud updates
to database 
and ML model
Real-time scan of only new software downloads/patches keeps company up to date 
without slowing down network
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

deep learning.PNG

Deep  Learning  Model Architecture  for  Functions

DEEP  LEARNING  Model Architecture

for  BITS  AND  BYTES AND  IMAGE  ANALYSIS

DEEPLEARNING 2.PNG

Chihuahua  vs.  muffin:  

AI-based image  classification

chihuahua.PNG

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

MALWARE  EXECUTABLE  OR  BENIGN  FILE?

Malicious

DECOMPILE.PNG

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

TRAINING.PNG

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

pavlo.PNG
david.PNG

David
CEO

Pavlo
Dev Sec Ops

santhosh.PNG

Santhosh
Research Scientist

cara.PNG

Cara
Data Visualization

rashed.PNG

Rashed
Scrum Master

selva.PNG

Selva
Machine Learning

georgia.PNG

Georgia
Deep Learning

andreas.PNG

Andreas
Cybersecurity

INTERNS

jennifer.PNG
farhan.PNG

Jennifer
Brand

Farhan
Knowledge Mgmt

duin.PNG

Duin
Neural Networks

michelle.PNG

Michelle
Marketing

sushama.PNG

Sushama
Data Scientist

mohommad.PNG

Mohammad
Image Data

prathamesh.PNG

Prathamesh
Database

thomas_edited.jpg

Thomas
Streaming

abel.PNG

Abel
Operations

jeremy.PNG

Jeremy
Partnerships

phuong.PNG

Phuong
Controlling

christian.PNG

Christian
Finance

sofia.PNG
samantha.PNG

Sofiia
Administration

Samantha
Website

sakif.PNG

Sakif
Networking

dineesha.PNG
cai.PNG

Cai
Interface

ruben.PNG
ketu_edited.jpg

Ketu
Backend

arsen.PNG

Dineesha
Cloud

Ruben
Business Analyst

Arsen
Scaling

 team

pramod.PNG
alan.PNG
mohad.PNG
arghir.PNG

ADVISORS

Arghir
Networks Advisor

Mohan
Anomaly Advisor

Pramod
Data Fusion Advisor

Alan
Commercialization

daniel.PNG

Daniel
Product

kasia.PNG

Kasia
Time Series

barry.PNG

Barry
Buisness Advisor

cybertech.PNG

AWARDS

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