Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every cloud security vendor launched an AI-SPM dashboard in the past year. Strip away the branding and most of them are presenting the same concept: a new posture management layer for AI workloads. Sit through four demos in the same week and a practical question surfaces. The dashboards look broadly similar — pie charts of findings, compliance tags, a list of AI assets, a severity ranking. Why, then, do the tools underneath cover completely different parts of the problem?

Most breaches don't announce themselves; they whisper. A subtly malformed DNS query here. A DHCP lease request that looks almost normal there. A client that suddenly requests a domain no one in your organization has ever heard of. By the time these whispers become alarms on a SIEM dashboard, attackers have often already moved laterally, exfiltrated data, or cemented persistence. In traditional DNS, DHCP, and IPAM (DDI) setups, these signals are buried under millions of legitimate transactions.

Insider risk management (IRM) is the practice of identifying, assessing, and responding to data security threats that originate from people inside an organization, including employees, contractors, and partners. Modern IRM programs combine behavioral analytics, data visibility, and policy enforcement to detect risky activity before sensitive data leaves the organization. The operative word in that definition is "before." Most security teams assume their IRM tool does this. However, many are wrong.

While inherently critical to today’s businesses that run on data, implementing and enforcing data security and privacy has never been straightforward. Between collecting different types of sensitive data and deploying unique architectures, organizations cannot adopt a one-size-fits-all solution, meaning that every security architecture is unique.

The first quarter of 2026 is behind us, and that means the next wave of rules, program phases, and other shifts in governmental policy are starting to take effect. One that you may have seen mentioned coming soon is the Consolidated Rules update. What is CR26, when does it take effect, and what does it do? We’ve been eyeing this update for months now, because it makes some very exciting changes, so let’s go through it and see how it will affect the FedRAMP process.

Every new customer shouldn't cost you headcount. But with stack diversity, it usually does.

What’s changed in the cybersecurity world after the advent of Artificial Intelligence (AI)? The speed of response has gone up. The Security Operations Center (SOC) and internal cybersecurity teams are able to detect, respond to, and mitigate attacks faster than ever. It’s a no-brainer that AI agents can neutralize identity-based attacks within seconds, before a human analyst checks the alerts.

Access issues don’t usually come from one big mistake. They build up over time through small decisions. Temporary access gets extended, roles change but permissions stay the same, and vendor accounts remain active longer than expected. Individually, these situations don’t seem urgent but over time, they make it difficult to track who has access to what, and whether that access is still required. This is where access certification becomes important.

Generative AI security is the practice of protecting the data that flows into AI systems, and the outputs those systems produce, from leaks, attacks, and unauthorized access. Every organization using AI today has the same blind spot. Sensitive data enters an AI pipeline, and most security teams have no visibility into where it goes next. An employee pastes a customer record into ChatGPT. A developer submits code containing API keys to an AI debugging tool.

You have backups. That’s a start. But when primary infrastructure fails, can your business actually keep running? That’s the core difference between DRaaS and BaaS. Backup as a service copies and stores your data. Disaster recovery as a service spins up your entire environment so that operations continue during an outage. They solve different problems, and treating them as interchangeable is how recovery plans fail when it matters most.