Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Phil Englert recently highlighted an uncomfortable reality facing healthcare organizations: legacy medical devices remain one of the most significant cybersecurity risks in modern healthcare environments. Unsupported operating systems, limited security capabilities, patching challenges, and increasing cyber threats create a perfect storm for hospitals attempting to balance patient care, operational continuity, and cybersecurity. The challenge is not new, but it is becoming more urgent.

Organizations are struggling to detect, investigate, and contain cloud threats before adversaries achieve their goals. The new CrowdStrike State of Cloud Detection and Response (CDR) Survey highlights the primary challenges they face: Together, these challenges are creating opportunities for threat actors to successfully breach cloud environments.

Anthropic released a pre-built KYC Screener agent last month. It runs a four-step workflow on onboarding records to extract structured data from KYC documents, evaluate that data against a firm's KYC rules, screen named parties, and escalate exceptions to a compliance file for human review. The Anthropic template is purpose-built for meeting basic KYC compliance requirements during onboarding, and it lowers the cost of getting it right.

CISOs and security analysts understand that the narrative surrounding artificial intelligence risk has changed. The old assumption that AI risk begins and ends with an employee copying and pasting a sensitive paragraph into a public ChatGPT prompt has dissipated, and we now see that AI has rapidly transitioned from an occasional consumer novelty into a deeply embedded, departmental infrastructure.

The writing is on the wall: artificial intelligence has moved past the experimental phase and has cemented its place as a core component of the modern enterprise stack. For CISOs, the playbook of flat firewall blocking is ineffective—bans don’t halt adoption, they simply drive usage underground into unmanaged shadow streams. To protect corporate assets without stalling business velocity, security leaders are seeing the need to shift from blind obstruction to active, structured guidance.

Microsoft’s approach of generative artificial intelligence has fundamentally redefined corporate productivity. The "Copilot" brand has become synonymous with workplace efficiency, promising to accelerate everything from writing software to summarizing executive board meetings. For a security analyst, however, this widespread integration introduces significant challenges to the attack surface they manage.

Two years ago, your teams shipped software. Today they ship two different things. They ship software that AI mostly wrote. And they ship AI systems they built themselves: models, agents, features that reason and act. Most security programs are still scoped for the first and blind to the second. That gap is not a tooling problem. It is a category problem. And the way the industry is drawing the categories is making it worse.