Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

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.

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.

AI! It's in everything, everywhere, all at once! It’s reading emails, summarising meetings, drafting documents, and writing code, and it’s no longer just giving us answers. We now also have agents that act on their own, access other systems, and make decisions with little to no human oversight.

SpiderLabs’ technical review of the July attacks examines the affected technologies, observed activity, and broader threat landscape. The next question is practical: what can small utilities realistically do about it? At many small water and wastewater facilities, there is often no dedicated security team to understaff. A licensed operator may be responsible for sampling, maintenance, compliance, and after-hours callouts, perhaps with limited support from municipal IT.

Most vendor onboarding and app access work is waiting and follow-ups. Waiting for someone to notice a form came in, assign a tier, chase a questionnaire, or dig up the context behind a Slack request. Risk Automations workflows remove that wait and automate the follow-up. A trigger fires, and the workflow runs to a concrete outcome: a ticket created, a message sent, a risk tier assigned. To make those workflows easier to launch, Risk Automations includes an ever-expanding template library.

Directors ask for AI risk reporting because oversight failure is personally actionable. Under the Caremark line of cases, a board that cannot demonstrate it monitored a material risk carries exposure of its own, and AI has moved into that category for most enterprises. The request is rarely curiosity about the technology. ‍ The framing determines what belongs in the pack.