Machine learning is a branch of artificial intelligence describing the study of computer programs that leverage algorithms and statistical models to improve automation without explicit programming. This is used to improve the capabilities of a machine, software, or program by allowing it to essentially program itself using data.
Machine learning can be broken down into three major components: a decision process, an error function and model optimization. The decision process uses an algorithm to make predictions or classifications. The error function evaluates the efficacy of the prediction. Finally, the model optimization process iterates the data and outcome, adjusting different weights until it fits into a certain degree of accuracy.
CyCognito has integrated AI to power robust and accurate attack surface discovery and testing. Discover what CyCognito AI can do for you and the AI techniques we use.
A dynamic asset inventory, built using natural language processing and advanced analysis of open source intelligence (OSINT), at your fingertips.
CyCognito automatically classifies your attack surface assets by business context and relationship to your organization. Act with knowledge and confidence.
The report is a must-read for understanding today’s external risks and how to prioritize them effectively. Download the report to stay ahead of emerging threats and strengthen your security posture for 2025.