Infosys brings enterprise context to CrowdStrike’s AI security push
SiliconANGLE Ryan Stevens ● Covered by 3 sources
Infosys is helping CrowdStrike use AI to find and fix security holes faster. It matters because AI can now spot millions of flaws in one scan, and speed is the fight.
Based on reporting by SiliconANGLE, Ryan Stevens — read the original for the full story.
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Infosys is leaning harder into CrowdStrike’s AI security effort as the gap between finding a weakness and watching it get used shrinks fast. Mayank Agarwal, Infosys’ vice president and head of cybersecurity Americas, said AI has changed the pace, the scale and the danger all at once: what used to take hours can now take minutes, sometimes seconds.
That’s the backdrop for Project QuiltWorks, the coalition CrowdStrike built to assess and remediate vulnerabilities discovered by AI. Infosys was one of the founding partners, and Agarwal said its job is to add the customer and enterprise context that a security platform can’t always see on its own. CrowdStrike brings the detection muscle. Infosys brings years of proximity to how a business actually runs.
Agarwal has spent 21 years at Infosys, much of that time helping enterprise clients protect brands and operations. He argued that this kind of coalition is becoming necessary because no single vendor can keep up with the sheer volume of issues frontier AI models can surface in one scan. The answer, in his view, is less about a bigger hammer and more about seeing the whole surface an attacker might cross.
Project QuiltWorks is also becoming the entry path for newer CrowdStrike offerings, including SafeMind, the red team and blue team models introduced at Fal.Con. Agarwal said the old security basics still hold: zero trust, and the CIA triad of confidentiality, integrity and availability. The twist is that those ideas now have to apply to agents too, not just people.
My take — AI-written commentary, not fact-checked reporting
This is the right kind of boring. Security is full of people selling miracle software, but the real work is still context, triage and fast cleanup. AI may have made the threat louder; it also made the need for practical partners impossible to ignore.
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