CybSafe raises £5.6m for behavioural security offering

Behavioural security platform CybSafe has secured a £5.6 million Series A1 funding round to enhance its go-to-market and research capabilities.

The funding round was led by deep tech investor IQ Capital with participation from Hannover Digital Investments (HDI Group) and B8 Ventures.

CybSafe uses audit data from multiple systems - such as Google Cloud and Azure - to help manage human cyber risk - working towards predicting human risk before it materialises.

“People are universally recognised as a critical part of the cyber resilience challenge and account for 90 per cent of breaches,” said CybSafe, “their security behaviours matter. Yet most security teams still can’t easily assess the impact their security controls have on user behaviour or cyber risk.”

The CybSafe platform is designed to track and measure security behaviour to improve security controls and staff awareness activities.

CybSafe is currently available in nine languages and is used by over 350 organisations in 15 countries.

The company is focused on expanding its enterprise and mid-market client base, which already includes the likes of Credit Suisse, Air Canada, HSBC and NHS trusts.

Oz Alashe, a former UK special forces lieutenant colonel and the chief executive and founder of CybSafe, said: “We passionately believe in the impact data and behavioural science can have on human cyber risk management. Our platform is for organisations who ultimately want to do more than just rely on e-learning and phishing simulations.

“It improves security culture in a way that can be measured and gives unparalleled insights in a way that allows our customers to pre-empt security problems.”

Kerry Baldwin, managing partner at IQ Capital, said: “CybSafe’s data modelling of employee security behaviours and habits is game-changing. They are transforming the security industry by pioneering the use of data to address the human aspect of cyber security.

She added: “It’s an area that has been under-served to date. By leveraging proprietary and third-party data - and robust behavioural psychology - their risk-models will enable security teams to predict areas of user-related vulnerability and the platform will deliver personalised interventions,” said Baldwin.

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