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The trick: Self-Marked

Corma's study says AI defenders catch 12% of AI attacks.

Corma sells AI defenders.

Issue 814 August 20266 receipts4 min

Corma, calling itself the first frontier AI lab for defensive cybersecurity, raised a $60M seed and says its own study shows AI attackers succeed 88% of the time while AI defenders detect just 12%, and that its early deployments cut threat response times by more than 94% and expanded coverage 15x

Before you read on. Your call?

A six-week-old deployment record, unnamed Fortune 100 customers, a 94% improvement measured by the vendor, and a 'first' that needed three qualifiers to be true.

12%AI DEFENSE DETECTION
94%RESPONSE TIME CUT
15xCOVERAGE
$60MSEED

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The trick has a name

We call it Self-Marked: graded by the party that benefits from the grade. You'll see it again. Learn to spot it →

Say this in tomorrow's meeting“The 88/12 study tested GPT and Claude as defenders, not any actual defensive product. That is like proving bodyguards don't work by hiring two novelists to take a punch.”

Receipts

  1. Supports accessnewswire.com: Corma, the first frontier AI lab for defensive cybersecurity, today announced $60 million in seed funding led by Sequoia Capital, alongside Khosla Ventures and Coatue.
  2. Supports accessnewswire.com: Early deployments have reduced threat response times by more than 94%, expanded security coverage by 15 times across different security functions, and uncovered multi-stage attack campaigns that would have otherwise gone undetected.
  3. Context accessnewswire.com: AI attackers succeeded 88% of the time, while AI defenders detected just 12%
  4. Context finance.yahoo.com: Corma's model has reduced threat response times by 94% in the organizations that have adopted it, the company says.
  5. Context thenextweb.com: In hundreds of simulations modelled on Fortune 500 companies with dozens of security tools, Corma tested leading AI models including GPT and Claude.
  6. Refutes builtinsf.com: The company's software encompasses several AI-powered tools, including an SOC analyst to autonomously investigate alerts across an organization's security stack, a threat hunter that identifies suspicious patterns across disparate systems and a detection advisor to improve detection coverage and reduce alert noise.

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