AI-Driven Cybersecurity Trends: Perception Point Reveals Alarming H1 2023 Report – Multiplatform AI>
– Yana
As artificial intelligence (AI) technology becomes ubiquitous in the cybersecurity and digital world, early adopters and industry leaders are striving to stay ahead of the game. Perception Point, a cybersecurity firm that leverages AI to detect and guard against malicious attacks, recently released a report that points to some concerning trends in the industry. The report reveals that unsupervised machine learning (UML) is rapidly gaining popularity and outstripping more traditional signature-based approaches to cybersecurity. UML eschews the manual defining of specific attack vectors and instead employs algorithms to detect and adapt to changing threat vectors. This approach can be more cost-effective, but also carries more risk as malicious actors may be able to detect patterns and outmaneuver existing defenses. The report also highlights a handful of other emerging trends and changes within the AI-driven cybersecurity landscape. Firstly, AI-driven defenses are becoming increasingly complex and moving away from single, linear deployments. Instead, multiple autonomous cyber defense technologies are being deployed simultaneously in order to create a decentralized security system. This complex system is both harder to penetrate than a single-system solution and offers more tailored protection. Moreover, the importance of incorporating user feedback and data into machine learning algorithms is being increasingly emphasized; user
Link: https://multiplatform.ai/ai-driven-cybersecurity-trends-perception-point-reveals-alarming-h1-2023-report/