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A single prompt inside an IDE, CLI, or agentic session can push source code, credentials, and regulated data past the enterprise boundary before anyone reviews it. In healthcare and financial services, that traffic often touches code paths already covered by HIPAA, PCI DSS, and secure-development controls. The problem is that most browser-centric, packet-based, and legacy ... Read more » The post AI coding assistants in regulated industries: best practices appeared first on WitnessAI .

An AI acceptable use policy identifies the AI tools employees, contractors, and AI agents may use, defines acceptable use, governs the data shared with AI systems, and establishes accountability for AI interactions. It also assigns responsibility for incidents. Your employees aren’t waiting for that document. Many employees already use AI without approval. This limits your ... Read more » The post How to write an AI acceptable use policy appeared first on WitnessAI .

MCP architecture allows AI agents to reach enterprise file systems and databases. It can also connect them to SaaS platforms using credentials that many identity programs may not have in their inventory. The Cloud Security Alliance reports that regulators are increasingly requesting agent control logs. The design choices that accelerated adoption also created activity many ... Read more » The post MCP architecture explained: a security perspective appeared first on WitnessAI .

Think of MCP as the shipping container of enterprise AI. Before standardized containers, every port improvised its own way of loading cargo, and every route carried its own risks. Once the container arrived, global trade moved faster, but customs, inspection, and chain of custody had to catch up. MCP is doing the same thing for ... Read more » The post What is the Model Context Protocol (MCP)? appeared first on WitnessAI .

Healthcare AI security now decides how fast health systems adopt AI. See where Shadow AI moves PHI outside the BAA boundary and how governed adoption scales. The post Healthcare AI security: a GenAI risk management guide for health systems appeared first on WitnessAI .

Physician use of AI and ambient documentation tools has moved from early experimentation and pilot programs to daily clinical workflow. Clinicians paste patient details into consumer chatbots that carry no business associate agreement, and autonomous agents query EHR data using privileges provisioned for human users. Healthcare AI security has not kept pace with that adoption ... Read more » The post Healthcare AI security: a GenAI risk management guide for health systems appeared first on WitnessAI .

AI governance responsibilities in Global 2000 enterprises rarely rest with a single executive. Ask who owns them, and you may hear several confident answers: the CISO, the CIO, the Chief AI Officer, legal, or compliance. Those answers often diverge when ownership isn’t written down. That gap becomes visible when regulators ask for named authority and ... Read more » The post Who is responsible for AI governance? appeared first on WitnessAI .

Untrusted content in an email can prompt an enterprise AI system to share data outside its intended scope. EchoLeak showed how that can happen. Microsoft assigned CVE-2025-32711 to EchoLeak, a zero-click attack triggered by a crafted email. Microsoft 365 Copilot pulled data from OneDrive, SharePoint, and Teams and sent it out through a trusted Microsoft ... Read more » The post Prompt injection examples and what they teach us appeared first on WitnessAI .

Your employees are pasting contracts, source code, and customer records into chatbots right now. Your existing security stack likely has significant blind spots into these AI interactions. That’s the gap AI DLP (AI data loss prevention) is built to close. It treats the prompt-and-response channel as a governed surface rather than a blind spot, reading ... Read more » The post What is AI DLP? Data loss prevention for the GenAI era appeared first on WitnessAI .

DeepSeek’s R1 model drew immediate attention after its January 2025 release. Since then, “is DeepSeek safe?” has become a standing question for CISOs, risk officers, and compliance leaders at large enterprises. If you’re fielding that question every week, you know the answer shifts with each deployment path. DeepSeek’s own privacy policy states that user data ... Read more » The post Is DeepSeek safe? appeared first on WitnessAI .

Perplexity is increasingly moving from consumer answer engine into enterprise AI workflows, and security leaders now need a practical view of what Perplexity security requires. If you’re already reviewing AI vendors on tight timelines, you’ve seen this split before: under the shared responsibility model, Perplexity supplies controls through its Enterprise tier. The organization remains responsible ... Read more » The post A guide to Perplexity security appeared first on WitnessAI .