Embracing continuous exposure management allows businesses to proactively manage their cybersecurity posture, prioritize critical exposures, and maintain a comprehensive view of their attack surface.
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.
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.
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.
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.
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.
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.
Data privacy is an issue that draws attention from every corner of American society. There are consumers on the one hand, who are fiercely protective of their digital rights, and the big tech and advertising giants on the other, wielding their massive influence at the expense of ordinary citizens.
The increasing reliance on third parties brings with it potential risks that must be identified and remediated across the supplier’s relationship lifecycle. AI can help procurement teams evaluate business risks far more quickly by identifying and prioritizing those risks.
As more recipients get wise to the usual phishing tactics, attackers are adopting another strategy: pretexting. Protecting an organization against pretexting attacks requires a layered approach that includes preventing attack messages from reaching employees, and making employees aware of how pretexting works.
