Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

SafeBreach Senior Product Marketing Manager Tova Dvorin explores the critical necessity of continuous validation in Zero Trust architectures, specifically focusing on the integration of SafeBreach and Akamai Guardicore. While microsegmentation is a foundational element in the defense against lateral movement and ransomware propagation, dynamic infrastructure and policy drift often create “blind spots” that compromise security posture.

Zero trust used to sound like yet another security buzzword. In SaaS environments, it has turned into something far more practical: a way to keep your business moving fast without assuming that anything or anyone is safe just because they are “inside” your systems. Zero trust in SaaS is about treating every login, every device, and every request as something you verify in real time instead of something you blindly trust because it passed a VPN check once.

In the world of cybersecurity, "starting from scratch" is a double-edged sword. On one hand, you have a clean slate; on the other, you face a mountain of configurations, best practices, and potential "gotchas.".

This guide walks through how to deploy microservices with Zero Trust using SPIFFE identities, service mesh mTLS, and short-lived certificates. You’ll learn how to deploy a secure microservices application, configure default-deny authorization policies, and rebuild service connectivity with explicit SPIFFE-based allow rules.

The cyber landscape is a minefield, and one wrong step can trigger disaster! As organizations digitize more of their operations, their attack surface expands, giving cybercriminals more opportunities for sophisticated attacks. The days of relying solely on a strong perimeter firewall are over; once a threat breaches that outer wall, traditional security models often leave the internal network exposed. This reality has driven innovative IT leaders to adopt more rigorous security strategies.

Once upon a time, the managed VPN (mVPN) was the hero of remote work. Employees worked from the office, servers lived in cupboards, and if you could gain access to the network, you were trusted. Fast forward to today, and that hero has not aged well. Hybrid work is permanent. Cloud apps rule. Attackers are smarter, faster, and annoyingly persistent. SMB IT teams are expected to hold it all together with limited time, limited budget, and zero tolerance for downtime.

Artificial intelligence (AI) is no longer an experimental capability in cybersecurity; it is foundational to modern security operations. Organizations are operating in environments defined by cloud-first infrastructure, remote and hybrid workforces, SaaS sprawl, and identity-centric attack patterns. At the same time, threat actors increasingly rely on automation and AI to accelerate reconnaissance, credential abuse, and post-compromise activity.

An engineer gets a notification at 2 a.m. because something in production is broken. They need database access right away. For many teams, that access is already sitting there. Standing permissions granted for a past need that no longer exists. Credential abuse is still the most common way for a breach to start. It accounts for roughly 22% of initial attack paths, which is actually ahead of vulnerability exploitation at 20%. In many cases, attackers are not breaking in or exploiting a flaw.