{"id":755,"date":"2026-04-29T13:49:48","date_gmt":"2026-04-29T13:49:48","guid":{"rendered":"https:\/\/thedigitalfortress.us\/?p=755"},"modified":"2026-04-29T13:49:48","modified_gmt":"2026-04-29T13:49:48","slug":"how-to-automate-exposure-validation-to-match-the-speed-of-ai-attacks","status":"publish","type":"post","link":"https:\/\/thedigitalfortress.us\/?p=755","title":{"rendered":"How to Automate Exposure Validation to Match the Speed of AI Attacks"},"content":{"rendered":"
\n

\ue804<\/i>The Hacker News<\/span>\ue802<\/i>Apr 29, 2026<\/span><\/span>Artificial Intelligence \/ Exposure Validation<\/span><\/p>\n<\/div>\n

\n
<\/a><\/div>\n

In February 2026, researchers uncovered a shift that completely changed the game: threat actors are now using custom AI setups to automate attacks directly into the kill chain.<\/p>\n

We aren’t just talking about AI writing better phishing emails anymore. We\u2019re talking about autonomous agents mapping Active Directory and seizing Domain Admin credentials in minutes.<\/p>\n

The problem? Most defensive workflows still look like this: your CTI team finds a threat, they pass it to the Red Team to test, and eventually, the results reach the Blue Team for patching. This process is full of friction, silos, and delays.<\/p>\n

The reality is simple: You cannot fight an AI adversary moving at machine speed when your defense moves at the speed of a calendar invite.<\/strong><\/p>\n

To bridge this gap, we\u2019re hosting a technical deep dive with the team at Picus Security to unveil a new defensive paradigm: Autonomous Exposure Validation<\/b>.<\/p>\n

\n Register for the Webinar Here \u279c<\/a>\n<\/p>\n

Leading this session are Kevin Cole<\/strong> (VP of Product Marketing) and Gursel Arici<\/strong> (Sr. Director of Solution Architecture) from Picus Security. Together, they bring a unique blend of strategic threat intelligence and deep technical engineering to show you how to flip the script.<\/p>\n

Here is exactly what you will walk away with:<\/strong><\/p>\n