BioCatch vs Vectra AI

By valuation, Vectra AI is the larger company at $1.4B versus $1.3B — a 1.1x difference. Size can also be measured by team: BioCatch employs 100-500 people while Vectra AI has 650 employees.

Vectra AI has raised more in total funding at $425M, compared to BioCatch's $213M — a gap of $212M. Combined, the two companies have completed 6 known funding rounds.

BioCatch leads with an Awaira Score of 80/100, while Vectra AI sits at 66/100. That 14-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

BioCatch was founded by Avi Turgeman in 2011. Vectra AI was founded by Hitesh Sheth in 2012. Visit each company's profile on Awaira for a full founder biography.

BioCatch: BioCatch provides behavioural biometrics and fraud prevention AI that analyses how users physically interact with digital devices — mouse movements, typing cadence, touch pressure, and navigation patterns — to authenticate genuine users and detect account takeover, social engineering, and application fraud in real time during banking and financial transactions. The Tel Aviv company processes behavioural signals from hundreds of millions of user sessions monthly, building individual profiles that flag deviations indicating fraud.\n\nThe company raised approximately $213 million in venture funding including a Series D led by Tiger Global, reaching a valuation exceeding $1 billion. BioCatch counts over 30 tier-one banks globally among its clients including American Express, NatWest, and Lloyds Banking Group, with deployments protecting online banking and mobile banking sessions from fraud that bypasses traditional authentication controls. The platform is particularly effective against malware-assisted fraud and social engineering scams where the genuine account holder is unknowingly manipulated.\n\nBioCatch competes in the behavioural biometrics and fraud intelligence market alongside ThreatMetrix (now LexisNexis Risk Solutions), Sift, and Sardine, as well as traditional fraud management platforms from FICO and SAS. Its differentiation is the depth of its behavioural feature engineering from passive interaction signals that do not require active user participation, creating a fraud layer that operates continuously without adding friction to legitimate user journeys. The growing prevalence of authorised push payment fraud and social engineering attacks in European banking has expanded the relevant use case for BioCatch beyond traditional account takeover detection. Vectra AI: Vectra AI is a cybersecurity company founded in 2012 that specializes in AI-driven threat detection and response. The company develops network detection and response (NDR) and cloud detection and response (CDR) platforms designed to identify and investigate cyberattacks in real-time. Its core technology uses machine learning algorithms to analyze network traffic and cloud activity, distinguishing between normal behavior and malicious threats without relying solely on signature-based detection. Vectra's primary products include Cognito for network security and Cognito for cloud environments. These platforms provide threat hunting, incident investigation, and threat prioritization capabilities. The company serves enterprise customers across various sectors, including financial services, healthcare, and critical infrastructure. With a valuation of $1.2 billion and total funding of $425 million across Series F and earlier rounds, Vectra operates in the competitive AI security market alongside companies like CrowdStrike and Palo Alto Networks. The company has established itself in the detection and response segment rather than prevention-focused solutions. Vectra competes on its behavioral analytics approach and cloud-native capabilities. The company has demonstrated steady growth within the cybersecurity industry, driven by increasing demand for advanced threat detection and the shift toward cloud infrastructure. Its positioning reflects broader industry trends toward AI-augmented security operations. Vectra pioneered the network detection and response category by applying AI-driven behavioral analytics to identify advanced threats that signature-based tools miss.

BioCatch got there first, launching in 2011 — that's 1 year of extra runway. Vectra AI didn't arrive until 2012. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

BioCatch has about 100-500 employees; Vectra AI has about 650. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both BioCatch and Vectra AI compete in AI Security, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.