Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Organizations are facing a new, critical challenge: how do you justify cybersecurity investments when cyber threats are increasingly sophisticated, yet the risks can often seem abstract and hard to quantify? While executives understand that cyber threats are real, translating those threats into concrete business decisions remains a challenge.

In this article API integrations have become the backbone of modern digital interactions, yet they also introduce vulnerabilities that can be exploited if left unchecked. The convergence of artificial intelligence (AI) and application programming interfaces (APIs) offers a promising solution to what many refer to as the “risk visibility gap.” This critical gap is defined as the difference between known API vulnerabilities and the unseen or unmonitored risks that arise from their use.