
Attestable, an Israeli cybersecurity startup, has raised US$20 million in Seed funding. The company is developing technology that helps businesses check and verify how AI systems behave.
SUMMARY
- Attestable raised $20 million in Seed funding.
- The round was led by TLV Partners and Altimeter Capital.
- Attestable was founded in 2025 by Yogev Bar-On, Shahar Papini, and Shahar Samocha.
The funding round was led by TLV Partners and Altimeter Capital. Other investors included Netz Capital and Cerca Partners, along with several private investors.
The private investors include Assaf Rappaport, Yevgeny Dibrov, Nadir Izrael, Sharin Fisher Dibrov, and Charlie Songhurst, who is also a board member at Meta.
"Pepini worked with me at 8200 and worked at StarkWare and then at Ilya Sutskever's SSI," Bar-On said. "He was a suitable figure for me because of the combination of his knowledge from StarkWare and SSI, a combination of AI and cryptography. It took me a long time to convince him to move from SSI, and Samocha worked with him at StarkWare."
"We are developing a way to secure AI labs from attacks by foreign attackers, companies like Anthropic and OpenAI," he said.
"We are doing something different from Irregular. They do attack simulations. We are making a system that allows labs to maintain security and prove to a third party that they maintain security," he said. "This allows several parties to coordinate what is happening in their organization and also to prove to a second party what they are doing for security."
Founded in 2025 by Yogev Bar-On, Shahar Papini and Shahar Samocha, Attestable is an Israeli cybersecurity startup that helps companies make their AI systems safer and more reliable. It develops tools to check how AI systems work and behave.
As businesses use AI for more important tasks, they need to know whether these systems are making the right decisions and following expected rules. Checking AI behavior can be difficult as systems become more complex.
Attestable provides technology that can check, verify, and monitor AI systems. This helps businesses understand how their AI is behaving and use it with greater confidence.
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