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Entrepreneurs Al Yang and Adar Arnon meet at Harvard Business School and quickly realized that they had an interest group in common : cybersecurity .
“ We ’ve witness an develop business mood that brought along with it an unprecedented motivation for improved security processes , ” Arnon told TechCrunch . “ surety ’s importance has increased exponentially … [ it ’s ] non - conveyable for engineering buyers . ”
Yang and Arnon decided to turn this pursuit into something more , so they startedSafeBase , which was accepted into Y Combinator ’s accelerator program during the pandemic .
SafeBase on Tuesday announced that it raised $ 33 million in a Series B daily round take by tour Capital . The companionship helps client fill out security questionnaire , which are reviews governance normally give up off before buying a young small-arm of software system . It ’s a governance and compliance thing .
Security questionnaires can be painstaking , take teams week to calendar month to complete for more complex pieces of package . But Arnon constitute the case that SafeBase can save meter through automation — and AI .
SafeBase employs AI models “ specifically trained on security documentation economic consumption case ” to learn , interpret security information and question and then mechanically reply to security questionnaires . “ [ Our political platform ] get the pain sensation out of the cumbersome security review process by empowering security measures , government activity , risk and submission and revenue team , ” he said .
Being the cynic about AI I am , I ask Arnon about the accuracy of these models ; AI is anotorious liar , after all . He lay claim that it ’s higher-ranking thanks to a “ mix of turgid and small language models ” that deliver “ greater answer coverage . ” Take that how you will .
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Beyond the customs models , SafeBase provides an railway locomotive that allows a ship’s company to assign “ ruler - based behavior ” for client access , as well as dashboard that show penetration and analytics on the company ’s security strength .
SafeBase is n’t the only seller out there offer tools to automate security measures questionnaires and reviews . Rivals includeConveyor , which lately raise $ 12.5 million;Kintent ; andQuilt , which claim that it can also automatize due diligence review in gain to security reviews .
Arnon did n’t seem too worried . Perhaps that ’s because of SafeBase ’s 700 - company - strong customer roll , which includes Palantir , LinkedIn , Asana and Instacart .
“ SafeBase saw massive increment in the past couple of years , ” Arnon say . “ Customers love the product and acceptation continues to speed up . The company benefits from increased visibility across its vendor web as more and more mellow - volume customers set up trust centers that replace the need for tenner of thousands of manual security reviews . ”
SafeBase , which is based in San Francisco , has 55 employees .
The fellowship ’s Series B had the involution of strategic investor Zoom Ventures ( Zoom ’s corporate venture sleeve ) , NEA , Y Combinator , Comcast Ventures and Cerca Partners as well as angels including former Salesforce primary trustfulness officer Jim Alkove . It bring SafeBase ’s total raised to over $ 50 million ; Arnon says a significant fortune will be put toward expanding the team .
