Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

One compromised login should never unlock an entire enterprise environment. Yet that is exactly the risk many organizations face when Single Sign-On is implemented without governance controls. While SSO simplifies authentication and improves user experience, it also concentrates access into a single identity layer that attackers actively target. That is why enterprises are investing in SSO access governance to bring structure, visibility, and accountability into identity management.

Most organizations do not fail IAM because they chose the wrong technology. They fail because identity controls evolve unevenly across the environment. MFA may protect workforce users but not contractors. Provisioning may be automated for SaaS applications while privileged accounts are still managed manually. Access reviews may exist on paper but lack enforcement, visibility, or accountability.

The shift from traditional office setups to remote and hybrid work has changed how IT teams operate. Employees are no longer working from a single location. They use laptops, smartphones, tablets, and even rugged devices across homes, offices, and field environments. Managing all of this securely is not simple. IT teams now have to balance speed, security, and support without physical access to devices. When something breaks, they cannot walk up to a desk and fix it.

For many security teams, the 2023 MGM Resorts cyberattack was a wake-up call. A single vishing attack exploited weak identity assurance in help desk workflows and disrupted casino and hotel operations for days, causing hundreds of millions in losses and reputational damage. The breach revealed a disconcerting new reality: Just one compromised employee account can enable attackers to bypass the entire security perimeter, regardless of an organization’s size or security budget.

On workload identity, a spec the industry has already started building around, and what the next layer looks like. I don't have a better answer than SPIFFE (Secure Production Identity Framework for Everyone) for workload identity, and that's where I want to start, because what follows is going to sound like I do.

Addressing these potentially competing priorities is difficult with today’s technology, and it's an active area of work for government agencies and private organizations alike. But we think there’s a potential path forward if regulations and organizations limit what you have to share, who you have to share data with, and how your data can be used.

During identity verification, organizations typically have to decide between increasing security controls and improving user conversion. Tighter checks mean more abandonment, and smoother flows mean more risk. Most verification flow design is an exercise in finding the right tradeoff. Mobile driver's licenses (mDLs) are different. Because an mDL is cryptographically signed by the issuing DMV and presented directly from a user's device, it's both faster to verify and harder to fake.

AI agents have developed advanced capabilities faster than most would have imagined. In enterprise contexts, workforces are delegating more and more tasks to them. While the promise of increased productivity is enticing, the shift from deterministic automated tools to agentic autonomous systems introduces security risks that most enterprises haven’t prepared for.

Imagine spending weeks moving a strong job candidate through a rigorous interview process. The hiring manager is excited for their new hire and collaborates with multiple teams to prepare for a smooth onboarding. But on day one, a completely different person shows up for the job. For too many companies, scenarios like this have become disturbingly common. Besides introducing serious security risks, fake job candidates waste valuable talent team resources.