Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every football fan has watched the same attack happen over and over during a match. The winger keeps driving down the same side because the defense never really closed the space. Eventually the pressure turns into a goal. Credential stuffing attacks are not too different.

Elite midfield pressing works on a simple principle: you disrupt the play at the point of change, not after the striker is through on goal. The earlier you read the pass, the less ground you have to cover. The later you read it, the more it costs. Change detection works the same way. And most security tools are still trying to make the tackle in the box.

Most data security programs are built around regulated data: social security numbers, payment card information, protected health information. The compliance frameworks demand it, the tooling is built for it, and breach notification laws make the stakes impossible to ignore. But intellectual property (IP) rarely triggers a regulatory deadline, which means it rarely gets the same level of protection, even though its loss can be far more damaging to a businesses bottom line, reputation, and productivity.

The market is giving CISOs a blunt signal. AI-powered threat detection and response was valued at USD 5.59 billion in 2024 and is projected to reach USD 23.52 billion by 2032, at a 20.00% CAGR according to Kings Research on the AI-powered threat detection and response market. That kind of growth doesn't happen because security teams like new tooling. It happens because modern environments generate more telemetry than analysts can realistically review, and attackers move faster than rule updates.

Identities, permissions, exposed resources, and sensitive data can all contribute to risk regardless of whether they reside in AWS, Microsoft Azure, or Google Cloud. However, security teams often encounter uneven visibility and coverage across disparate cloud environments, and face difficulty in consistently understanding risk across a multi-cloud estate.

For oil and gas operators, operational technology (OT) is a lifeline, sometimes literally. OT systems are essential to maintaining not just reliable and efficient operations but also safe environments for workers. In upstream production sites, offshore platforms, pipelines, terminals and refineries, critical processes depend on a complex network of OT assets that organizations use to control and optimize operations. Cybersecurity programs for OT often focus heavily on prevention.