Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial Intelligence has rapidly evolved from a niche research field into an everyday workplace tool. In many cases, this adoption has outpaced previous technology waves, with employees across industries embracing AI to boost productivity in almost every aspect of their work and life.

The healthcare sector remains one of the most targeted industries for cyber attacks due to its critical role in national infrastructure and its extensive repositories of sensitive data containing personally identifiable information (PII). It’s widely assumed that threat actors target healthcare and related organizations because they are perceived as more likely to pay a ransom to restore critical systems and protect patient safety in the event of an attack.

In today’s fast-moving digital world, the adversary has evolved — threats aren’t just more frequent, they’re smarter. Artificial Intelligence (AI) is no longer only a force for good. Threat actors now leverage AI-driven methods to automate attacks, craft human-like deception, and exploit blind spots in organizations relying on outdated defenses.

The platforms your customers trust to connect with your brand are now being weaponized to destroy its reputation. AI is equipping cybercriminals with industrial-scale operations that can replicate your brand presence across all major social platforms in just minutes. This guide provides a CISO's framework for moving from reactive brand monitoring to proactive threat disruption, detailing a four-pillar plan to neutralize these threats before they impact your business.

The work of a cybersecurity professional never ends, and it’s never easy. Whether they’re responding to incidents in the SOC or briefing the board on supply chain vulnerabilities, security leaders and practitioners live under constant pressure. And while the reality of burnout may not be new, it’s still a growing threat. One that endangers not only the well-being of security professionals but also the resilience of the organizations they protect.

AI Risk & Governance Sam Soares CRO 31 October 2025 5 min read Share.

Today’s security teams face disconnected tools and scattered data, which makes managing cyber risk increasingly complex. With the rapid rise in ransomware, new CVEs, and a constant stream of emerging threats, it has become difficult to monitor not only an organization’s own security posture but also the security of its third- and fourth-party vendors.

The Common Vulnerability Scoring System (CVSS) has been the industry’s go-to framework for assessing vulnerability severity for nearly two decades. It provides a standardized way to measure and communicate the technical impact of a vulnerability. As threat landscapes evolve and organizations mature in their vulnerability management practices, questions about its relevance and limitations persist. That even led to our co-founder, Scott Kuffer, writing a defense of the algorithm earlier this year.