Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Global Tech Firm Secures and Manages Its Passwords With Keeper

A global technology services provider based in the United Kingdom, with more than 11,000 employees, was quickly scaling while serving clients across the finance, telecom, media, retail and healthcare sectors. Behind the scenes, its Information Technology (IT) and security teams were facing growing challenges: too many password tools, limited visibility into access controls and widening compliance gaps as cyber threats became more sophisticated.

Securing the Future of AI Browsing with 1Password and Perplexity

Join Anand, VP of Product and AI at 1Password, and Kyle Polley from Perplexity for a fireside chat about building the future of secure, AI-native browsing. 1Password and Perplexity are partnering to bring privacy, transparency, and trust to the Comet Browser — the world’s first AI browser and personal assistant. Learn why security must be built in from the start, and how end-to-end encryption and zero-knowledge architecture protect users in the age of AI.

How the Model Context Protocol Is Redefining Zero Trust for AI Agents

As Artificial Intelligence (AI) agents become more autonomous by accessing critical systems and acting without real-time human oversight, they are evolving from productivity tools into active Non-Human Identities (NHIs) like service accounts or API keys that require the same oversight and controls as human users. This shift expands organizational attack surfaces, introducing new security risks related to overprivileged access and lateral movement of NHIs across cloud infrastructure.

How KeeperPAM Integrates With CNAPP

As cloud-native environments become more dynamic, organizations must balance workload security, visibility and control to ensure effective privileged access management. Cloud-Native Application Protection Platforms (CNAPPs) help security teams identify vulnerabilities and misconfigurations across cloud infrastructure, but they typically do not directly enforce privileged access controls at the session or connection level.

Principles in Practice: Raw credentials should never be shared with LLMs

If you wouldn’t hand your house keys to a delivery driver, why hand your credentials to AI? In this Principles in Practice video, Anand Srinivas, VP of Product & AI at 1Password, explains a critical rule for secure AI use: Raw credentials should never be shared with large language models. Instead of sharing secrets, use them securely: Don’t send raw credentials over the data channel of a protocol like MCP Use proxies and secure autofill instead of sharing secrets Keep credentials out of prompts, embeddings, and fine-tuning data.