With so many organizations incorporating generative AI tools into operations, ethical AI adoption can increase their competitive advantage, simplify tool testing, increase end-user adoption and more.
Choosing whether to pay ransom isn’t a moral or ethical decision. It is always a business decision based on risk reduction and protecting the interests of an organization’s customers, employees and key stakeholders.
Comprehensive protection in the 5G era requires a holistic approach to network security. This involves regular inspections, meticulous prioritization of threats, and systematic addressing of vulnerabilities.
Hacked for the Holidays: Five Actions to Undertake When Ransomware Strikes During the Holiday Season
The holiday season is a time for loved ones and celebrations, and unfortunately, also a prime opportunity for cybercriminals to strike. With many companies operating with reduced staff and employees taking time off, the risk of falling victim to ransomware increases.
Companies need to be more careful than ever when handling sensitive data. U.S. state privacy laws are multiplying, and both regulatory action and class action lawsuits have put companies collecting or sharing sensitive data without consent in the spotlight.
The future of data is not about how much we collect, but how ethically it is used and how we can realistically safeguard it so that we get the best out of AI without violating data privacy tenets.
Embracing continuous exposure management allows businesses to proactively manage their cybersecurity posture, prioritize critical exposures, and maintain a comprehensive view of their attack surface.
With the widespread availability of ChatGPT and other Generative AI applications today, research shows a 135% increase in ‘novel social engineering’ attacks in January and February of 2023 alone.
By fostering a culture of continuous improvement that thinks outside the box of compliance, IT teams and security leaders can feel confident in their cybersecurity resilience.
As we step into 2024, the IAM landscape continues to evolve. Decentralized identity, identity data engineering, and the integration of analytics and generative AI stand as pivotal pillars that will shape the success of IAM strategies in the coming year.
