Today, cybersecurity is in a state of continuous growth and improvement. In this on-demand webinar, learn how two organizations use a continuous AI feedback loop to identify vulnerabilities, harden defenses and improve the outcomes of their cybersecurity programs. The security risk landscape is in tremendous flux, and the traditional on-premises approach to cybersecurity is no longer enough. Remote work has become the norm, and outside the office walls, employees are letting down their personal security defenses. Cyber risks introduced by the supply chain via third parties are still a major vulnerability, so organizations need to think about not only their defenses but those of their suppliers to protect their priority assets and information from infiltration and exploitation.

Heading into 2021, the future of artificial intelligence (AI) in technology and cybersecurity will only continue to evolve as more organizations adopt new and innovative techniques. According to one recent survey, two-thirds of organizations are already using the intelligent technology for cybersecurity purposes. Using these tools allows for companies to be more prepared for the innovative attacks that cybercriminals continue to develop – also using AI technologies. For example, just last year, criminals employed AI-based software to replicate a CEO's voice to command a cash transfer of €220,000 (approximately $243,000). For businesses looking to implement more AI into their security stack in 2021, it's important to follow these six steps to ensure the effective use of AI – without compromising security anywhere else down the line.

As the new year draws near, healthcare organizations are thinking about where to focus their resources. Matt Mellen, security architect and healthcare solution lead at Palo Alto Networks, predicts that, in 2018, machine learning capabilities will not only enhance a healthcare organization's cybersec...

As the new year draws near, healthcare organizations are thinking about where to focus their resources. Matt Mellen, security architect and healthcare solution lead at Palo Alto Networks, predicts that, in 2018, machine learning capabilities will not only enhance a healthcare organization's cybersecurity program, but improve patient outcomes as well. Healthcare IoT has the potential to greatly improve patient care – but it's not without its challenges. Download this essential guide in one PDF and learn how to overcome the obstacles: security, data overload, regulations, and more. You forgot to provide an Email Address.

As the new year draws near, healthcare organizations are thinking about where to focus their resources. Matt Mellen, security architect and healthcare solution lead at Palo Alto Networks, predicts that, in 2018, machine learning capabilities will not only enhance a healthcare organization's cybersecurity program, but improve patient outcomes as well. AI in healthcare goes beyond IBM Watson. In this e-guide, discover 4 uses for AI in healthcare – particularly how it can help improve patient engagement – and whether we can overcome security and interoperability concerns surrounding the technology. You forgot to provide an Email Address.