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Home » Keywords » Artificial Intelligence (AI) Security
Items Tagged with 'Artificial Intelligence (AI) Security'
Organizations need to enhance current technical security controls to mitigate against the threat of deepfakes to the business. Training and awareness will also need revamping with special attention paid to this highly believable threat.
Where disinformation was once communicated by telegram, the modern version of vast, coordinated campaigns are now disseminated through social media with bots, Twitterbots, and bot farms—at a scale humans could never perform. Now, disinformation campaigns can be lodged by a government to influence stock prices in another country, or by a private company to degrade brand presence and consumer confidence. What’s worse is that bots can facilitate these campaigns en masse.
Lots of security vendors talk about integrating innovative techniques using Artificial Intelligence. In cybersecurity, this often boils down to supervised or unsupervised anomaly detection of measures attributes. However, in many cases there is a big gap between the identification of anomalies and transforming them into actionable data.
There are lots of buzzwords floating around cybersecurity: machine learning, artificial intelligence, supervised and unsupervised learning … In many cases these advanced technologies are based on anomaly detection.
With the CDN market expected to reach $25B by 2025, the entire concept of a Content Delivery Network is evolving as AI and machine learning technologies continue to improve.
Many compliance teams in the financial services industry are struggling with limited human resources to oversee the fast-changing electronic communications compliance landscape.
Nearly half (48.5 percent) of C-suite and other executives at organizations that use artificial intelligence (AI) expect to increase AI use for risk management and compliance efforts in the year ahead
Thanks to advancements in Artificial Intelligence (AI) and Machine Learning (ML) in the area of cybersecurity, small businesses and enterprise-level companies can stay focused and maintain a high level of digital trust from their customers while keeping overhead costs in check.
As threats from the cyber and physical realms become increasingly prevalent and complex, enterprise security teams must arm themselves with an integrated approach to security operations—one that incorporates cybersecurity, physical security and advanced technologies such as artificial intelligence (AI) and machine learning.