Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Although Jira serves as the system of record for many DevOps and IT teams, retrieving secrets or approving requests for privileged information often occurs on other platforms. Teams may depend on external tools, email messages or Slack chats to manage credentials or elevation requests, leading to context switching, audit gaps and delays that increase operational risk.

Investment firms operate at the heart of global capital markets, managing assets, executing large volumes of transactions and relying on technology to transfer funds in real time. For all of this activity, investment firms rely on trading platforms, which are systems that route orders to alternative markets, analyze data, execute trades and measure performance across portfolios.

Secure sharing in Keeper works by encrypting records with record-level encryption keys, enforcing granular permissions and giving administrators centralized policy control and audit visibility into how sensitive credentials, passkeys and privileged resources are accessed. Keeper’s zero-knowledge architecture ensures that only authorized users can decrypt shared data, while flexible sharing options support everything from everyday collaboration to enterprise-grade Privileged Access Management (PAM).

According to HIPAA Journal, phishing remains one of the most common and effective attack methods used against healthcare organizations and is a leading cause of healthcare data breaches. As healthcare becomes more digital, cybercriminals increasingly target clinicians and administrative staff to access Electronic Health Records (EHRs) and other Protected Health Information (PHI).

Non-human identities (NHIs) and AI Agents including service accounts, CI/CD credentials and cloud workload identities, now eclipse human identities in enterprise identity systems by 50:1 to 100:1. Modern identity security platforms must assign identities to these assets and furthermore, apply roles, access control policies, visibility and governance in order to secure the modern enterprise.

A useful way to evaluate a modern identity security platform is to look at three core pillars: strong authentication and access controls, Privileged Access Management (PAM) that reduces standing privilege and secure credentials and secrets management with continuous visibility. In this blog, we’ll break down what those pillars mean, how they work together and how to evaluate and roll them out without creating gaps or friction as you scale automation and agent-driven workflows.

Insider threats in healthcare often originate from trusted employees, third-party vendors or contractors who have standing access to critical systems. When privileged access is not closely monitored, healthcare organizations face significant consequences, including compromised patient safety, exposure of Protected Health Information (PHI), disruption to clinical operations and Health Insurance Portability and Accountability Act (HIPAA) compliance violations.

Many organisations take a phased approach to deploying password managers, starting with IT and security teams and planning to expand later. This approach is often shaped by practical constraints such as budgets, licensing and the need to balance competing priorities. Partial cybersecurity coverage leaves organisations exposed to breach paths that are actively exploited.

Telehealth and remote work have become a major part of modern healthcare delivery. Clinicians, IT teams and third-party providers now access Electronic Health Records (EHRs) and billing platforms from home offices, mobile devices and distributed environments. As a result, healthcare organizations must secure access to Protected Health Information (PHI) beyond traditional on-premises environments.

As organizations rely more on Artificial Intelligence (AI) to power critical operations, the infrastructure supporting AI development and deployment is becoming a high-value target for cybercriminals. From model training and data pipelines to cloud workloads and APIs, AI operations rely on access to privileged credentials and critical systems.