Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

While Hamlet asked the existential question “to be or not to be,” most security teams ask an equally esoteric question that ultimately defines their ability to manage alerting and detection: “to deploy on-prem or in the cloud?” When adopting a security information and event management (SIEM) solution, organizations must make a foundational decision around whether to deploy the solution on-premises or in the cloud.

Most people know the old fairy tale of the boy who cried wolf. Every day, the little shepherd would scream from the top of his hill, “A wolf is chasing the sheep!” While villagers initially responded to the alarm, they soon realized that the boy was lying to them. In the end, when a wolf truly did chase the sheep, no one heeded the boy’s cry.

Security operations teams are under sustained pressure. Alert volumes continue to rise, environments grow more distributed, and experienced analysts remain scarce. Much of the industry conversation around AI focuses on autonomy and fully automated response. That focus skips the most reliable efficiency gains available right now.

2025 exposed a shift that had been forming for years. Security operations were not slowed by limited visibility or weak tooling. They were slowed because the effort required to interpret growing volumes of data increased faster than staffing, budgets, or governance frameworks could support. Alert queues expanded, dashboards multiplied, cloud bills shaped retention choices, and AI arrived before most organizations had clear policies to supervise it. It was not a talent problem.

Every cloud service provider that seeks an authorization to operate with the federal government using the FedRAMP framework has to undergo and pass an audit. Beyond passing the audit, the CSP needs to keep and maintain proof of not just their external audit, but also internal audits, continuous monitoring results, and more.

The Ransomware-as-a-Service (RaaS) ecosystem has changed the look and shape of modern day ransomware attacks. Malicious actors typically view their cybercrimes as a business, hoping to make the most amount of money with the least amount of effort. For example, according to research, AI-automated phishing attacks performed similarly to human generated ones and 350% better than the ones sent to the control group.

On April 8, 2025, the National Security Division (NSD) of the US Justice Department (DOJ) implemented the Data Security Program (DSP).

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks.

Let’s face it: humans are creatures of habit, and nothing rattles us quite like the prospect of change. (Just ask anyone who’s dared to swap out the office coffee brand—revolutions have started over less.) According to SHRM's research on change fatigue, today’s relentless pace of disruption is exhausting employees faster than a budget ergonomic chair. But here’s where it gets fascinating—where security, HR, and fraud analysis converge in ways you might not expect.

If Darth Vader and the rest of the Empire made one major strategic mistake, it was failing to understand the important role that the human element plays in security. Convinced of their superiority, the Empire’s leaders assumed that the Death Star was impenetrable. However, in the end, it was a scientist and his team who compromised the technology by building in a backdoor.