May 8, 2024 at 03:33PM
Token Security, based in Tel Aviv, has obtained $7 million in seed funding and aims to address the rising challenge of identity security, prioritizing machine identities over human ones. Conventional human-focused identity management is no longer sufficient, as the number of machine identities has surged, leading to increased vulnerability. Token’s unique ‘machine-first’ approach involves real-time tracking, monitoring, and risk management of machine identities, aiding organizations to enhance their security posture.
From the meeting notes provided, it is clear that Token Security has raised $7 million in seed funding, with TLV Partners leading the investment along with participation from SNR and angel investors. The firm’s platform focuses on addressing the increasing challenge of managing machine identities in the modern cybersecurity landscape.
They emphasize the importance of prioritizing machine identities over human identities, as the number of machine identities far exceeds that of human ones in enterprises. Token Security aims to track, monitor, and secure these machine identities to mitigate the risk of breaches stemming from identity compromises. The company has adopted a ‘machine-first’ approach to identity security, which involves mapping all existing identities and understanding how they are used by attackers.
Token Security’s approach involves sensors placed around identity repositories used by engineers, enabling real-time identification of identity issues and risks. They also provide the capability to automatically remediate discovered identity risks and plan to assist organizations in automating the identity lifecycle management process.
Overall, Token Security aims to provide organizations with the tools and information needed to understand, manage, and prioritize machine identities for improved security posture. Their goal is to enable organizations to automate identity remediation processes as the volume of machine identities continues to grow.
In summary, Token Security’s pioneering ‘machine-first’ approach to identity security aims to tackle the challenges associated with managing non-human identities, offering a comprehensive solution to address the new blindspot in cybersecurity.