Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! The rise in identity fraud has set new records in 2022. This was put in motion by fraudulent SBA loan applications totaling nearly $80 billion being approved, and the rapid rise of synthetic identity fraud. Almost 50% of Americans became victims of identity fraud between 2020 and 2022.

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. There are troubling gaps revealed in a new report showing that enterprises are not prioritizing security, compliance, fairness, bias and ethics. The study, conducted by O'Reilly, shows AI's adoption is struggling to reach maturity today and lacking prioritization in these areas may be, in part, a reason why. O'Reilly's annual survey of enterprise AI adoption found that just 26% of organizations have AI projects in production, the same percentage as last year. In addition, 31% of enterprises report not using AI in their business today, a figure that is up from 13% last year.

Leading e-commerce companies are training their cybersecurity analysts on transaction fraud detection systems and collaborating with vendors to detect identity spoofing and the use of stolen privileged access credentials. Fremont, CA: Cyberattacks are becoming more sophisticated, targeting multiple threat surfaces at the same time and employing a wide range of techniques to avoid detection and gain access to valuable data. Bad actors' preferred attack strategy is to use various social engineering, ransomware, phishing, and malware techniques to obtain privileged access credentials in order to circumvent Identity Access Management (IAM) and Privileged Access Management (PAM) systems. Detecting Transaction fraud – According to CISOs, the pandemic's effects on e-commerce sales are the primary motivator for investing in AI and ML-based transaction fraud detection. Transaction fraud detection is intended to provide real-time monitoring of payment transactions through the use of machine learning techniques to identify anomalies and potential fraud attempts.

Taking a Zero Trust approach to managing every machine identity authentication on a network now ... [ ] could save thousands of hours and dollars in the future. Bottom Line: Bad actors quickly capitalize on the wide gaps in machine identity security, creating one of the most breachable threat surfaces today. Forrester's recent webinar on the topic, How To Secure And Govern Non-Human Identities, estimates that machine identities (including bots, robots and IoT) are growing twice as fast as human identities on organizational networks. Forrester defines machine, or non-human, identities as robotic process automation (bots), robots (industrial, enterprise, medical, military) and IoT devices. The webinar points out that one of the fastest-growing automation types is software bots, with 36% used in finance and accounting, 15% used in business line and 15% in IT.

The new year promises abundant potential for advancement across the broad swath of Federal government IT. Industry leaders shared their predictions for 2020 and beyond with MeriTalk, indicating the path to progress will often track uphill, and around plenty of curves. The big Federal IT issues for 2020 proper? How about multi-cloud architecture, artificial intelligence (AI) and machine learning (ML) adoption, 5G mobile and related security implications, and workforce upskilling, just to name a few. Asked to jump two years into the future and identify the biggest Federal IT areas we should have been looking at more closely in 2020, many of the broader security and infrastructure themes run in a similar vein.

Identity access management is at a crossroads. Organizations want to modernize legacy identity infrastructure by implementing a more flexible, mobile-ready identity management system without disrupting security. At identity and security conference Identiverse, the gap between legacy systems and contemporary identity access management systems was apparent among guests and during the main keynote, given by Andre Durand, CEO and founder at Ping Identity in Denver. Ping Identity was a conference sponsor. In this Q&A, Durand talks about common challenges associated with identity access management, what artificial intelligence can bring to identity management and how managing identity within a workforce has changed as end users become more mobile.

We've been losing the war on cybercrime for some time. Research firm Forrester reports over a billion accounts stolen in 2016 alone, and these data breaches are going up, not down. We are having to wade through more incident data, and people cannot keep up. Could machine learning help solve the problem? For years, researchers hoped that artificial intelligence would produce human-like machines.