Elemendar - Our AI reads Cyber Threat Intelligence for you

About Elemendar.

We Are Hiring!

Full-time / Part-time

Remote

Full-time / Part-time

Remote

About Us

National Cyber Security Centre
GCHQ

Elemendar was founded in 2017 by Giorgos Georgopoulos and Syra Marshall at the UK’s first GCHQ / NCSC Cyber Accelerator, powered by Wayra UK, to develop Cyber Threat Intelligence (CTI) enrichment capabilities.

Elemendar is the leader in developing AI to translate CTI into machine readable and instantly actionable data. This can be fed into systems such as SIEMs and TIPs directly to reduce risk and return valuable time to analysts at the forefront of organisations’ defence across enterprise, government and law enforcement. Elemendar’s technology is used by both government and private customers.

Our AI automates the reading and translation of CTI from human authored unstructured text and documents into machine readable and actionable data output as STIX 2.0 and incorporating MITRE ATT&CK™. Our technology utilises leading-edge Machine Learning (ML) and Natural Language Processing (NLP) technologies.

Our Team

We have created Elemendar as we are passionate about security. Organisations and cyber analysts are drowning in critical CTI and we want to make it usable for all, not only the 1% who can afford analyst teams.

Giorgos Georgopoulos, Elemendar team

Giorgos Georgopoulos
Founder and CEO

Syra Marshall, Elemendar team

Syra Marshall
Founder and CTO

Devon Barrett, Elemendar team

Devon Barrett
Founder

Tristan Palmer

Tristan Palmer
CMO and Head of Growth

Chris Evett

Chris Evett
Programme Manager

Rita Anjana

Rita Anjana
Head of Machine Learning

Ananya Kapoor

Ananya Kapoor

Bharath Suresh

Bharath Suresh

Evans Odeh

Evans Odeh

Lee Jones

Lee Jones

Süleyman Sümertaş

Süleyman Sümertaş

Ben Strickson

Investors & Advisors

Hector Monsegur, Elemendar advisor

Hector Monsegur

Dr Kimmo Soramäki

Dr Kimmo Soramäki

Mia Bennett, Elemendar advisor

Mia Bennett

Nathan Koren, Elemendar advisor

Nathan Koren

David Moloney, Elemendar advisor

David Moloney

Jami Jenkins, Elemendar advisor

Jami Jenkins

Sven Ripper

Sven Ripper

Lawrence Lundy-Bryan, Elemendar advisor

Lawrence Lundy-Bryan

What We Do

Elemendar translates unstructured reports into STIX outputs for Cyber Analysts.
Our AI makes your analysts more efficient, instantly flagging threats.
We read reports in seconds, not hours.

Save your analysts’ time.
Empower them to focus on what’s most important.

What we do at Elemendat

Where We’re Going

2018 - Read - CTI is read and translated into STIX

READ

C.T.I. is read and translated into STIX2.

2019 - Remember - Networks are built by correlating across source docs

REMEMBER

Networks are built by correlating across source C.T.I. docs.

Relationships are understood between multiple data points. Network analysis to find patterns

REASON

Relationships are understood between multiple data points. Network analysis to find patterns

2021 Orchestrate - The patterns are used to share enriched context with other tools both ways.

ORCHESTRATE

Patterns are used to share enriched context with other tools going both ways. Iterative machine-led action on C.T.I.