
"Tracebit has built cloud-native threat deception technology that uses tailored canaries to detect threats everywhere on a system. The canaries, which are described as fake honeypots, are deployed across the entire environment to attract threats and help organizations prevent cyberattacks and respond to incidents faster, employing an 'assume breach' approach."
"These decoy assets bait attackers into revealing their location, enabling responders to identify compromised accounts and prevent lateral movement. According to Tracebit, its cloud-native technology has been built for the modern tech stack to identify and prevent evolving threats. Its canaries can be deployed by identity providers, on workstations, in AWS, Azure, Kubernetes, and CI/CD pipelines."
"Tracebit is building the cloud-native deception and detection layer for the AI era, giving security teams the highest signal proof of compromise. We believe 'assume breach' will become the default posture for modern enterprises, and Tracebit is leading that shift."
Tracebit, a London-based cybersecurity startup founded in 2023, announced a $20 million Series A funding round led by FirstMark, bringing total funding to $25 million. The company develops cloud-native threat deception technology using fake honeypots called canaries deployed across entire environments to detect threats and enable faster incident response. These decoy assets bait attackers into revealing their location, helping organizations identify compromised accounts and prevent lateral movement. Tracebit's canaries deploy across identity providers, workstations, AWS, Azure, Kubernetes, and CI/CD pipelines. Recent product expansions include Perimeter Canaries for edge deployment and Deceptive Artefacts. The funding will support product rollout, US expansion, customer support growth, and team expansion in go-to-market and engineering.
#cybersecurity-funding #threat-deception-technology #cloud-security #honeypot-canaries #incident-response
Read at SecurityWeek
Unable to calculate read time
Collection
[
|
...
]