Twine is an Israeli-based cybersecurity startup. The firm raised $12 million in seed funding co-led by Ten Eleven Ventures and Dell Technologies Capital, with participation from angel investors including the founders of Wiz. The company’s first digital employee, Alex, learns, understands and takes away the burden of identity management tasks – proactively completing the organization’s cyber objectives.
The surge in cyberattacks, fueled by the rise of remote work and digital transformation, has outpaced the industry’s ability to find and retain skilled cybersecurity professionals. A shortage of nearly 4 million experts, as reported by the World Economic Forum, is leaving organizations vulnerable to breaches. This talent deficit forces security leaders to focus on immediate threats, limiting their ability to adopt a proactive, long-term approach to security.
Established in 2024 by cyber experts and longtime friends Benny Porat (CEO), Nadav Erez (Technology), Omri Green (Go-To-Market) and Justin Woody (Marketing). The four were previously core team members at multi-billion-dollar-valued cyber unicorn Claroty, where Porat was Co-Founder and CTO, leading it to a $100M+ annual recurring revenue (ARR), with more than a thousand customers globally.
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Twine’s platform equips cybersecurity teams with digital employees who work alongside cyber teams to complete their security objectives. The company’s founders recognized Identity Access Management (IAM) as a key pain point for IT and cyber departments, who face the threat of malicious actors gaining access to their systems. Twine’s Alex, the first-of-many digital cybersecurity employees, is trained to understand and take care of identity management tasks from start to finish, and help organizations maximize their performance.
“Our vision is to create AI digital cybersecurity employees that can grasp each organization’s unique needs, and allow end-to-end cyber execution, starting with identity management,” said Benny Porat, CEO and Co-Founder, Twine. “We believe that cybersecurity teams are looking for a solution that improves efficiency and strikes the right balance between human and machine collaboration.”