Cybersecurity gets its own model family as defenders look to close the AI gap
Attackers got the head start. Now security vendors are racing to build their own model families — trained on threats, not the open web.
Why it matters
The AI arms race in cybersecurity is shifting from general-purpose models to purpose-built defenders. Security teams now face a new buying decision: adopt specialist security models or stay on general frontiers.
The key facts
5 to knowFrontier AI models have favored attackers over defenders
Security industry moving toward specialized model families trained on security data
CrowdStrike and SafeMind mentioned as players building security-specific models
Purpose-built security models emerging as category shift from general-purpose LLM adoption
Defenders seeking to close the 'AI gap' that has run in attackers' favor
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Frontier AI has reset the balance of power in security, and so far the advantage has run one way. Attackers can pick up general-purpose models at will, even though no one built them for defenders, pushing the industry toward purpose-built systems trained on security data rather than the open web.…