Mentioned in 6 AI use cases across 2 industries
This is like giving your company’s security cameras and fire alarms a brain that learns. Instead of waiting for a fixed list of ‘bad things’ to happen, machine learning watches all activity on your network, learns what “normal” looks like, and then flags and blocks suspicious behavior in real time—often before humans would even notice.
Think of your company’s security center as an airport control tower. Traditional tools watch planes (devices, users, emails). This use of AI threat hunting in Defender XDR adds new radar that also watches the AI copilots and automations you’ve deployed—so if someone hijacks your AI assistant or uses it to sneak in malware, security can see and stop it.
Think of your company’s network as a city. AI gives both the police and the criminals super-powered binoculars and autopilot cars. Defenders use AI to spot unusual behavior and block attacks faster than humans can. Hackers use AI to scan for weak doors, write convincing scam messages, and automate break‑ins at scale.
Think of this as turning today’s security analysts into ‘AI-augmented guardians’: people who use smart tools that can spot cyberattacks much faster than humans, while also learning how to control and question those tools so they don’t make dangerous mistakes.
This is like giving your security team an AI co-pilot that watches everything in your environment in real time, spots attacker behavior (including AI-generated attacks) faster than humans can, and automatically helps block and contain those attacks before they spread.
Think of this as a 24/7 security guard for your computers and networks. It continuously watches what’s happening, looks for signs of break‑ins or suspicious behavior, and alerts your team before a small issue turns into a major cyber incident.