Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For years, security frameworks have served as essential tools for aligning cybersecurity practices, but they’ve also come with limitations. Designed primarily for compliance, many frameworks are rigid by nature, sometimes to the extent of being a checklist, making them ill-suited for today’s dynamic risk environments. But the threat landscape has evolved, and so too must our approach.

A newly surfaced set of vulnerabilities in the SonicWall SMA100 series appliances has captured the attention of cybersecurity professionals. While SonicWall has released patches for CVE-2025-40596 through CVE-2025-40599, and media reports point to a surge in Akira ransomware attacks targeting SonicWall SSL VPN infrastructure, CISA has not formally confirmed exploitation of these specific vulnerabilities by Akira at this time.

PwC recently did an AI agent survey where they found the following: This all sounds great, right? For many reasons it is, but agentic AI creates a challenge of visibility for organizations into how AI agents are communicating with each other and external third-party vendors. Imagine a multitude of AI agents autonomously exchanging data across a complex mesh of third-party vendors and applications.

‍ ‍With the continuously expanding influence that cybersecurity has in determining an organization's financial and operational resilience, cyber risk quantification (CRQ) has steadily become a foundational component of any robust cyber governance, risk, and compliance (GRC) program.

Governance, risk, and compliance (GRC) is the foundation of a secure and accountable IT infrastructure. It refers to the practices that ensure your organization stays secure, meets regulatory requirements, and minimizes operational risks. For organizations running on Active Directory, the stakes are even higher. One misconfigured permission, one overlooked stale account, or one unchecked access path can open the door to breaches, privilege escalation, or audit failures.

Security teams are familiar with the comforting sense of safety that comes from utilizing security controls like Single sign-on (SSO) providers to manage their organization’s major applications and critical tools. When these applications are routed through Okta, Azure AD, or other identity providers, your SaaS environment can seem managed and accounted for. But lurking underneath is a significant vulnerability: the SSO blind spot.