Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

CrowdStrike Uncovers New Prompt Injection Techniques

Prompt injection is among the defining security challenges of the AI era. As organizations move from chatbots to AI agents, adversaries are finding more ways to manipulate the language, context, and data these systems trust. With the rise of powerful AI agents that can crawl webpages, access file stores, and even write shell commands, indirect prompt injection has emerged as a critical threat vector.

How to Build an AI Asset Inventory

Most organizations that have invested in AI governance have done so without first solving the problem that makes governance possible in the first place: knowing what AI they are actually running. An AI governance program built on an incomplete inventory is governing a partial picture of actual exposure. ‍ The risks concentrated in the AI systems that never made it into the formal catalog are not lower priority because they were not captured. They are simply invisible, which is considerably worse.

Implementing AI Security: Your Enterprise LLM Security Checklist

Security teams are approving large language model (LLM) deployments faster than they can build the controls necessary to govern them and protect vital, sensitive data. Employees paste customer records into ChatGPT, engineering teams connect internal APIs to coding assistants, and business units stand up retrieval systems against production data, often without formal review.

IT Audit: What It Is and How to Prepare for One

Cramming for an exam in school often meant late nights, large quantities of caffeine, and anxiety about potential final grades. Whether studying alone or as part of a group, you probably tried to pull together all your notes and review sheets, so you had the right information at your fingertips during the test. In some cases, these exams could determine whether you passed or failed a course.

Called it (mostly): Checking in on 2026 predictions so far

On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector.

Why Persona recommends native mobile identity verification flows

Fraudsters are adaptive actors who follow the path of least resistance. The goal of fraud-fighting teams is often to make the cost of fraud high enough that attackers go elsewhere. Leveraging Persona’s Mobile SDK raises fraudsters’ costs by requiring identity verification to happen in signal-rich mobile environments. For years, fraud fighters have layered verification checks and risk signals to detect various types of attacks.

How to Protect Older Adults from Financial Scams | Elder Financial Abuse Explained

Financial scams targeting older adults are on the rise — and the most dangerous ones don't start with a threat. They start with a relationship. Romance scams, fake emergency calls, and slow emotional manipulation are some of the most common tactics used to exploit seniors before anyone notices something is wrong.

Network Security Policy Management: Dynamic Object Tracking Explained #shorts

Network security policy management systems must accurately track dynamic IP address changes within tags to correctly answer traffic simulation queries. This ensures policy compliance even as cloud environments scale elastically, preventing redundant audit alerts.

What is KeeperDB?

KeeperDB is a secure, multi-protocol database client built on Keeper’s zero-knowledge platform. Available as both a free standalone desktop application and a privileged session component of KeeperPAM, KeeperDB combines a database query engine, vault-managed credentials, real-time performance monitoring and an AI-powered database assistant in a unified interface. Continue reading to learn more about how KeeperDB works, its key features and the benefits of using it to help secure database access.