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SiliconANGLE AI · 2026/7/21 14:00:29

Exclusive: Fig launches AI agent and brings CI/CD to security operations
AI 中文解读
Fig Security公司今天搞了个大动作:他们把程序员常用的“自动测试、一键回滚”那套流程,搬到了网络安全运营里。现在安全团队也能像写代码一样,快速修改和部署安全检测规则,出了问题还能马上撤销,再也不用担心改错规则导致系统“瞎眼”了。
以前安全团队特别头疼——新威胁一来,得手动调整检测规则,稍微改错一点,黑客可能就溜过去了,而且根本不知道漏洞在哪。Fig的解决方案就像给安全团队配了一个智能助手,你只要用大白话告诉它“我要防住这种新攻击”,它就能自动分析现有系统、模拟改动效果,确认没问题才正式上线。整个过程点一下鼠标就行,还能随时查看修改记录,出错了秒级回滚。
这项技术对普通人的直接影响就是网络环境更安全了。企业安全团队以前修一个漏洞可能要几周甚至几个月,现在当天就能搞定。这意味着银行、电商、社交平台能更快封堵新型欺诈、病毒攻击,你的个人信息、账户资金被保护得更及时。以后黑客想钻空子,难度会越来越大。
UPDATED 10:00 EDT / JULY 21 2026
SECURITY
Exclusive: Fig launches AI agent and brings CI/CD to security operations
by
Duncan Riley
Fig Security Inc. today unveiled what it calls the full engineering lifecycle for security operations, pairing an artificial intelligence agent with the version control, testing and rollback tooling that software developers have long used to ship code.
The Israeli company, which launched publicly in March, is aiming at a chronic headache in the security operations center. New data sources, detections and cloud services arrive constantly, and upstream systems change without warning. Even a small update can quietly break a detection pipeline. When that happens, teams lose the ability to spot a threat and often have no idea a gap has opened.
Fig’s answer centers on an AI agent built on what the company terms security data lineage, a deterministic graph mapping every detection flow across the SecOps stack. An engineer describes a needed change in plain language. The agent reads the live environment, proposes the change, then simulates and tests it to prove the impact before anything reaches production.
Deployment happens in a click, with full version control and one-step rollback. Continuous observability afterward confirms that existing and new detection flows still run as intended.
Fig calls the result the first true CI/CD for security operations, a nod to the continuous integration and delivery pipelines developers use to push code. The idea is that a detection change should move through build, test and deploy the way a software feature does.
The company points to several jobs the approach speeds up. Threat reports turn into working detections the same day rather than next quarter. A security information and event management migration that once dragged on for months can finish in weeks and stay operational throughout. And because teams control the data plane, they can dictate what gets ingested and stored without touching detections already in production.
Early users include AppLovin Corp. Jayme Hancock, head of security operations and engineering at the mobile technology company, said his team now ships accurate detection changes in minutes instead of weeks and works with “a confidence we’ve never had.” He added that engineers have even started “vibe parsing,” a riff on the vibe coding trend.
“Security teams shouldn’t have to choose between moving quickly and maintaining confidence in their SecOps infrastructure,” said co-founder and Chief Executive Gal Shafir. “Fig gives SecOps engineers the same modern engineering workflow that software developers have long relied on. They can design changes with complete context, prove those changes work before deployment, and continuously verify that their security operations remain resilient as their environments evolve.”
Founded in 2025 by veterans of Google LLC’s security operations group and Siemplify, Fig launched in March with $38 million in seed and Series A funding from Team8 Capital and Ten Eleven Ventures. It was named a finalist in this year’s RSAC Innovation Sandbox competition and says its platform has since reached dozens of Fortune 500 companies. It operates from offices in New York and Tel Aviv.
Image: Fig Security
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