Call 855-808-4530 or email [email protected] to receive your discount on a new subscription.
Trust has always been a key instrument of economics. Up until recently, central banks have acted as the metaphorical custodian of trust, employing complex processes that force populations to participate in bank accounts and credit cards to earn trust benefits, like credit scores. Yet, devastating moments such as the 2008 U.S. financial crisis that took an enormous taxpayer-funded bailout showed the same centralized and slow processes were weakening and could not adapt quickly enough in a digital economy. Further, banks have become the number one target for malicious hackers. As a result, banking systems, credit rating agencies and other traditional legal instruments no longer remain effective mechanisms for P2P reputation and trust measurement.
Continue reading by getting
started with a subscription.
AI Needs Its ‘Come the Jesus’ Moment
By Steve Salkin and Brett Burney
It’s time to stop the hype, stop talking up AI as if it’s the next best thing since sliced bread and prove that it’s a useful tool and technology that can actually be used in the actual practice of law.
U.S. Regulators Lift the Curtain on Data Practices with Assessment, Reporting and Audit Requirements
By Alan Friel, David Manek, Sasha Kiosse, David Farber and Colleen M. Yushchak
The assessment and audit requirements of the new generation of state data protection laws will force U.S. companies to move beyond mere window dressing and instead require them to develop fulsome data protection programs.
Artificial Intelligence Redefines Our Defense Against Cyber Threats
By Roy Hadley
The cybersecurity landscape is on the brink of a transformative shift, with predictive analytics and behavioral analysis leading the charge for more resilient and adaptive defenses.
Deep Fake of CFO on Videocall Used to Defraud Company of $25M
By Scott Warren
It appears that hackers are using AI to sift large digital data to identify more convincing approaches for their scams as well as weaknesses in weaknesses in software coding or network security.