Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

When it comes to email security, phishing and other social engineering attacks tend to grab headlines. But a simple mistake by an employee, like addressing an email to the wrong person, can be just as damaging. Misdirected emails like these remain one of the most common and costly forms of accidental data exposure.

AI adoption does not happen uniformly across an organization. Some employees have integrated generative AI (genAI) tools into core parts of their workflow. Others have barely opened one. Most are somewhere in between, experimenting on an ad hoc basis, without consistent visibility into what data those tools handle or where it goes. That variance is the problem. Security programs built around either universal AI adoption or zero AI adoption will miss most of the actual risk.

You picked a cloud provider, migrated your workloads, customized everything to fit their ecosystem, and now switching feels nearly impossible. That’s vendor lock-in, and it’s one of the biggest strategic risks facing IT teams today. Nearly all (94%) of IT leaders worry about it, pushing many organizations toward hybrid infrastructure.

The hype is deafening, the booths were packed, but most of what the industry is calling "agentic AI security" is point products wearing platform clothes. Here is what the real thing requires.

Most organizations treat compliance as a cost of doing business — a box to check, an audit to survive, a regulatory hurdle to clear. Compliance rarely inspires excitement. For many organizations it is treated as a necessary obligation, something to satisfy regulators and auditors so the business can move forward. Security and IT teams often experience compliance as a cycle of documentation, manual processes and audit preparation that consumes valuable time and resources.

At Gartner IAM Summit 2026, the strongest conversations were about machine identities, AI agents, secrets, trusted integrations, and the growing realization that credential abuse now sits much closer to the center of enterprise risk.

The classic tradeoff in cybersecurity has always been simple: more visibility at the cost of speed. But today, that tradeoff is breaking down. As attackers leverage AI to find and exploit vulnerabilities at unprecedented scale, the sheer volume of alerts is burying security teams. The result? An expanding exposure gap. It is taking longer than ever to triage and remediate threats, creating a dangerous window between when a tool pings and when a human in the SOC can actually take action.

CISA issued Emergency Directive 26-03 in response to active exploitation of vulnerabilities in Cisco SD-WAN management systems, specifically Cisco Catalyst SD-WAN Manager and SD-WAN Controller platforms. The vulnerabilities include an authentication bypass flaw (CVE-2026-20127) that allows unauthenticated remote attackers to gain administrative privileges and manipulate network configuration, and a path traversal vulnerability (CVE-2022-20775) that enables local privilege escalation to root.