AI agents are evolving fast — from helpful assistants to autonomous actors that can browse the web, analyze data, resolve customer service issues, assist in generating code, book travel, and more. As these agents take on more responsibilities, it’s crucial that the security model around them keeps up.
It’s been a year since we announced 1Password Extended Access Management, and in that time, it’s become clearer than ever that we are facing a major shift in how workers use technology to drive productivity. Whether it’s through organizations embracing the use of AI agents or tech-savvy employees independently seeking out any tool or application they need, the way we work has fundamentally evolved. And cybersecurity must evolve with it.
Cybercriminals are increasingly using AI tools to assist in malicious activities, according to Microsoft’s latest Cyber Signals report. “AI has started to lower the technical bar for fraud and cybercrime actors looking for their own productivity tools, making it easier and cheaper to generate believable content for cyberattacks at an increasingly rapid rate,” the report says.
Innovation in cybersecurity technology, particularly in security operations, is advancing at an incredible pace. The past few months have seen a surge in announcements of Agentic AI solutions and SOC Analyst AI Agents, transforming the landscape rapidly. At BlackHat USA 2023, Torq pioneered this space by introducing Socrates, the first AI Agent SOC Analyst. This highlights the remarkable acceleration of AI adoption in cybersecurity and the significant advancements made in a relatively short period.
Your RAG implementation can expose secrets in some unexpected ways. Secure your LLM deployments and scrub knowledge bases to prevent your secrets from leaking.
In this video, I put OpenAI's latest model, ChatGPT-4.1, to the test to see if it can generate secure code. Can AI really help us write safer, bug-free applications? Or does it still fall into common security pitfalls like SQL injection, XSS, and insecure auth flows? Stay tuned to find out!
I think you’ll agree with me that growth in the AI landscape is pretty full-on at the moment. I go to sleep and wake up only to find more models have been released, each one outdoing the last one by several orders of magnitude, like some kind of Steve Jobs’ presentation on the latest product release, but on a daily loop. With these rapid developments, security must keep up or it will be left behind.
Ever tried training an AI model and felt like your system was just too slow? Or maybe you've wanted to scale a machine learning project but didn't know how to handle the setup? If you're nodding along, you're not alone. AI takes power, and with the right cloud tools, that power is right at your fingertips. Let's break down how cloud-based GPUs and Kubernetes can give your projects the boost they deserve.