Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Security and GRC teams have no shortage of risk mitigation activities. They are carrying more work than ever, yet many still lack confidence in the data and recommendations produced by all that manual effort. They are also operating in a risk environment that changes faster than their current operating model was designed to support. Unfortunately, the existence of risk activity does not mean actual risk has been reduced.

Your AI agents had a productive day. Nobody can tell you what data they touched. A developer opens Cursor and connects it to a GitHub MCP server and a Postgres MCP server. The agent reads the repo to understand a schema change, finds an AWS access key in a config file, and uses it to run a migration against staging. The key now lives in the agent's context, in the Postgres query log, in the chat history, and in whatever artifact the developer copies out. No alert fired. No policy triggered.

Data security budgets are under more scrutiny than ever. When a CISO brings a new tool to the table, finance and the board want to know: What does this buy us, and how do we measure it? Data security posture management (DSPM) is one of the harder investments to quantify on paper, largely because its primary value is risk reduction rather than revenue generation. But that framing undersells it.

For decades, passwords have been the standard method for protecting access to systems and accounts. However, passwords can be compromised or stolen via tactics such as brute-force attacks, phishing attacks, and infostealer malware. The shift to multi-factor authentication (MFA) added another layer of security by requiring additional authentication to verify the user’s identity – some combination of something you know, own, or (in the case of biometrics) are.