Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Security Posture Management arrived as a term before it arrived as a definition. Vendors announced products under the label through 2025 and in volume at RSA Conference 2026, each describing a somewhat different scope, and buyers now evaluate a category whose boundaries depend on who is selling. The lineage is evident, since AI-SPM follows cloud and data security posture management, and the inherited assumptions are where the difficulty starts.

Security budget requests fail on arithmetic rather than on argument. A finance function asked to approve spending wants the same information it requires from every other proposal, being what it costs, what it returns and over what period. Most security cases supply the first, describe the second qualitatively, and omit the third. ‍ Return on security investment closes that by expressing the benefit as reduced modeled loss rather than as reduced likelihood of an unspecified bad outcome.

You're in the middle of a noisy SOC shift, and a firewall alert lands late. The device was supposed to send logs over syslog, but the path was UDP-based and the network dropped the messages under stress. By the time an auditor asks for proof, the team has an investigation, a gap in the timeline, and no clean evidence trail to show what happened.

Insurance has always been a data-rich industry. But recent threat intelligence makes it clear that attackers are not only going after insurers because they are large organizations. They’re going after them because insurance touches some of a threat actor’s favorite things: money, identity, healthcare, legal claims, third-party relationships, and highly sensitive customer records.

An Australian man named Andrew asked his personal AI agent, built on the open-source OpenClaw framework and powered by Anthropic’s Claude model, to book him into a popular morning gym class. According to ABC News, the class was full, so the agent started looking for a way around that. It found that the gym’s booking API let bookings be pushed far further into the future than the website’s own interface allowed, a limit that turned out to exist only on the front end.

AI can meaningfully power Continuous Threat Exposure Management (CTEM), but only for specific stages of the cycle: prioritization, validation, and remediation routing. AI can’t replace the underlying data integration work, and it can’t turn CTEM into a single product, because Gartner defines CTEM as a continuous five-stage program (scoping, discovery, prioritization, validation, mobilization), not a tool you install.

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

Google has strong security measures, encryption, and account settings to secure your Gmail account, but as we will see throughout this article, Google doesn’t use end-to-end encryption and prioritizes using your data for profit, rather than protecting your privacy. In this article, we will cover.

EDR (endpoint detection and response) and XDR (extended detection and response) are technologies. MDR (managed detection and response) is the managed service that continuously operates them — the 24/7/365 SOC team that monitors, investigates and responds to threats on the client’s behalf, built on top of EDR, XDR, or another detection stack.