We're publishing our most detailed threat intelligence report to date.
It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.
We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.
These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.
We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.
Read the report: https://t.co/0EJUnYEgfz
NEW: CrowdStrike has been selected for @OpenAI's Trusted Access for Cyber (TAC) program.
Today, OpenAI released GPT-5.4-Cyber, a frontier model designed for defensive cybersecurity, and expanded the TAC program to give verified, selected defenders governed access through identity verification and tiered controls.
CrowdStrike continues to lead the market in secure AI adoption, trusted by AI leaders and organizations of all sizes to accelerate the world's AI revolution. The more capable AI becomes, the more security it requires.
More on our blog: https://t.co/rpcFcPEGtT
That Stanford CS graduating class of 2026 just hit the job market
394 total graduates. 23 have full-time offers. Twenty-fucking-three.
The rest? 127 are doing unpaid "AI apprenticeships" at startups that promise equity. 89 pivoted to product management bootcamps they're paying for with credit cards. 52 are substitute teaching while "building their portfolio."
The remaining 103 are driving DoorDash, bartending, or back home with their parents applying to customer support roles that require CS degrees
Career services is telling them it's a "market adjustment" and to "stay positive"
Same week Stanford reported a $43.7 billion endowment increase
Two years ago this exact program had a 94% placement rate by graduation. Starting salaries averaged $185k.
This year the 23 lucky ones? Average offer is $78k. At companies that didn't exist 18 months ago. Building "AI-native workflows" with teams of 4 people doing what used to take 30.
The professors are still teaching advanced algorithms to kids who'll never write a sorting function
While recruiters scroll LinkedIn looking for "AI prompt engineers with 5+ years experience"
One kid told me his database systems professor just got replaced by a chatbot that grades assignments faster
The irony is suffocating
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Step into a real-world phishing attack scenario and uncover how attackers gain access, maintain persistence, and leave traces behind.
In this advanced Digital Forensics Workshop, you’ll:
✔ Analyze a compromised system from a real attack scenario
✔ Investigate persistence techniques (TeamViewer, registry keys, services)
✔ Work with system logs, processes, and forensic artifacts
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💻 Includes 5 hours of virtual lab access with a full forensic dataset
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This isn’t theory, this is practical investigation experience.
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Engineering job openings are at the highest levels we’ve seen in over 3 years
There are over 67,000 (!!!) eng openings at tech companies globally right now, with 26,000 just in the U.S. We don’t know if there would have been more open roles if not for AI or if AI is actually leading to more open roles, but since the start of this year, the increase in open eng roles is accelerating even more.
🎁 We're giving away 20 FREE SAL2 certifications 🎁
The wait is over...SAL2 is officially here 🚀 Security Analyst Level 2 is the certification that proves you can investigate, decide, and lead in a real SOC. The only defensive cert that covers every domain a real L2 analyst faces!
💸 With a special launch price of $599 valid until 2 April only.
🚀 Comment, SHARE and fill in the form to enter the free cert giveaway ▶️ https://t.co/j4tOzqIjuo
❓Want to know more what SAL2 is about see here: https://t.co/DAej3B9q7j
Larry Ellison just told every software engineer on Earth their job description is dead. Not evolving.
Dead.
Ellison: “The code that Oracle is writing, Oracle isn’t writing. Our AI models are writing.”
This is not a startup demo. This is one of the largest infrastructure monopolies on the planet telling you it already replaced the people who built it.
For fifty years, building software meant translating human intent into machine instructions. Line by line. Bug by bug. Sprint by sprint.
That entire layer is gone.
Ellison: “We don’t write the procedure. We declare our intent.”
That sentence just made the entire engineering labor market flinch. The procedure was the job. The procedure was the paycheck. The procedure was what made a developer valuable.
And now the machine does it without being asked twice.
Ellison: “We just tell the model what we want the program to do, and then the AI comes up with a step-by-step process to actually do it.”
You are no longer paid to build. You are paid to think.
And most organizations have no idea how to evaluate that.
The companies still hiring armies of developers to grind through codebases are paying salaries the machine already made worthless. Not in years. In seconds.
When a company worth hundreds of billions hands the keyboard to the machine and tells you the output is better, the debate is not winding down.
The debate is over.
The enterprise that wins this decade does not write the best code. It removes the human from the process entirely and runs on intent alone.
The programmers who survive are the ones who realize the craft is no longer typing.
It is architecture. It is judgment. It is knowing what to build and why.
Everything else now belongs to the machine.
And the machine does not negotiate severance.