Jared Coseglia is the Founder and CEO of TRU Staffing Partners, an award-winning staffing company representing talent and opportunities in data privacy, e-discovery, and cybersecurity. TRU has been voted a top-three legal and/or litigation support staffing agency for seven consecutive years in both the National Law Journal and the New York Law Journal and has been named one of the Inc. 5000 Fastest Growing Private Companies in America.

Jared has placed over 3000 professionals in full-time and temporary positions at the Fortune 1000 and Am Law 200 levels and throughout the global consultancy, service, and software provider communities. As an active member of the legal and cybersecurity community, he is a member of the Board of Editors for Cybersecurity Law and Strategy, has written over 90 articles, regularly appears in podcasts and webinars, and has spoken at over 50 conferences.

In this episode…

When it comes to hiring, data privacy and security companies aren't sure what to look for in candidates. Similarly, professionals are struggling to understand businesses' qualifications and gain the skills needed for each discipline. With so much variability surrounding hiring practices, how can organizations maintain clarity to attract and retain top talent?

Privacy and security staffing expert Jared Coseglia says that companies need to develop robust, transparent, and simple privacy and security programs. This demonstrates that you recognize your business' requirements and can assess the market effectively. Some companies have employed AI technology to streamline the hiring process. Yet, this raises representation issues, so Jared says it's crucial to utilize this technology to enhance diversity and provide candidates with an inclusive experience.

In today's episode of She Said Privacy/He Said Security, Jodi and Justin Daniels chat with Jared Coseglia about hiring and staffing trends in privacy and security. Jared talks about how companies can attract and retain privacy talent, AI's role in the hiring process, and compensation in privacy versus security.