Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

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.

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.

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.

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.

Patrick Orzechowski (also known as “PO”) is Torq’s Field CISO, bringing his years of experience and expertise as a SOC leader to our customers. PO is a seasoned security veteran with a deep understanding of the modern security landscape. You can find him talking to SOC leaders and CISOs from major brands at cybersecurity events around the world.

You’ll notice things look different. Because the world you’re defending has changed—and so have the stakes. Every breach proves the same thing: the tools you’ve been given aren’t enough. Firewalls let attacks through. “Next-gen detection” leaves you drowning in alerts after the fact. Threat intelligence is treated like a forensic tool, not a preventative defense.

Forget drawn-out SOAR integrations, endless proof-of-concepts, and prolonged vendor lock-ins. Most cybersecurity teams have the tools — what’s missing is an integration platform and reliable guidance that can rapidly tie it all together and deliver tangible results. Torq is designed precisely for that: we blend AI-native capabilities, no-code Hyperautomation, and unparalleled success enablement to transform your security operations into a fully autonomous, modern SOC within just three months.