Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Shadow IT has evolved from an occasional nuisance to a pervasive security challenge that affects every organization. These unauthorized applications, services, and devices operating outside of IT oversight create blind spots in your security posture that attackers are increasingly exploiting. But here’s the reality: your employees aren’t trying to undermine security.

Artificial Intelligence (AI) is super-charging customer service, amplifying personalized product recommendations, and accelerating workflows that enable humans to focus on higher-value tasks. However, AI cannot deliver desired productivity improvements to financial organizations without foundational security protection in place. In this blog, I recap several best practices that empower financial institutions to leverage AI safely and responsibly.

In effect, organizations must now treat sensitive data not only as a privacy concern, but as a national security asset. This is no longer the domain of compliance officers alone—it’s a cross-enterprise challenge that demands executive-level ownership.

From supporting customers through intelligent chatbots to auto-generating code, GenAI is revolutionizing enterprise operations. But as Spiderman coined, with great power comes great responsibility. This article will look at generative AI security, including trends and best practices to stay on top of.

Your identity and access management solutions only work if your users comply with the policies you set. Even with the right controls in place, enforcement can break down when users – intentionally or not – find ways around them. That’s why, as we continue to develop Extended Access Management (XAM), we’re focused on embedding enforcement more deeply into everyday workflows across 1Password’s suite of solutions.