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a16zCyberattacks Used to Take Months. AI Can Do It in Minutes.
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WHAT IT’S REALLY ABOUT
AI shrinks cyberattacks to minutes, forcing continuous self-defense now
- Ami Luttwak says “Black October” brought an unprecedented spike in both the number and severity of incidents, alongside the rise of AI-powered attackers operating at previously unseen speed and scale.
- He argues that models are now capable of finding and exploiting complex vulnerabilities, and that open-source models are rapidly closing the gap, enabling end-to-end attacks in roughly 20 minutes.
- Using a widely deployed PHP vulnerability as a case study, the speakers highlight that even fast initial patching leaves long tail risk due to internet-scale prevalence, patch delays, and unpatchable legacy versions.
- The discussion frames effective defense as requiring automation across detection, investigation, and eventually response, plus continuous “attack yourself first” testing focused on unauthenticated external exposure.
- They contend that security teams and budgets must shift away from report-driven or checklist approaches toward critical-risk focus, readiness, and secure system design that assumes constant zero days.
IDEAS WORTH REMEMBERING
5 ideas“Black October” is framed as a major inflection point for cybersecurity.
Ami Luttwak describes October as a “black swan event” marked by an unprecedented number and severity of incidents, plus the emergence of AI-driven attackers operating at new speed and scale.
AI capability—especially in open-source—has moved from warning to active exploitation.
Ami Luttwak says models can now find and exploit complex vulnerabilities, and that open-source models “are catching up,” turning what felt theoretical into operational reality.
AI compresses the attack lifecycle to minutes, making “every day a zero day” feel literal.
Ami Luttwak claims attacks that used to take top-tier attackers weeks or months can now be run end-to-end in roughly 20 minutes, including finding issues like API mistakes and using them to run code in an environment.
Patching speed and coverage can’t keep up with AI exploitation—especially for ubiquitous and legacy software.
Using the PHP vulnerability as an example, Ami Luttwak notes how widespread PHP is across customer environments and says patching can move fast initially but full remediation across the internet can take years, especially with unpatchable legacy versions.
Auto-patching is a design choice that must be architected early, not bolted on later.
Ami Luttwak argues fully automated patching is only realistic if companies build an end-to-end automated pipeline (automated dev, testing, CI/CD, and DevOps), which is difficult for legacy organizations but potentially achievable for startups by design.
WORDS WORTH SAVING
5 quotesWe've never, never ever seen so many, um, security incidents happen in a single month.
— Ami Luttwak
So now they're catching up. They're catching up.
— Ami Luttwak
And basically run an entire attack that usually took, for the best attackers, weeks or months, in again, around 20 minutes.
— Ami Luttwak
AI can e- exploit things in, in, in minutes. So the answer is that the world i- is not ready. The world is not ready for this.
— Ami Luttwak
Most of what security teams do is not security.
— Ami Luttwak
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SPEAKERS
Zane Lackey
hostFormer CISO (notably at Etsy) and cybersecurity operator/investor who co-hosts a16z security discussions.
Ami Luttwak
guestCo-founder and CTO of Wiz, focused on cloud security and offensive/defensive security automation.
Sarah Wang
hostAndreessen Horowitz (a16z) General Partner focused on enterprise/software investing and a16z podcast hosting.
High quality AI-generated summary created from speaker-labeled transcript.
