EBOOK
AI has reached mainstream use faster than any technology before it, and security programs are catching up in real time. Most organizations can’t say which AI tools are in use, what data is leaving, or which agents are running in their environment. This eBook covers the two dimensions of AI risk, and the operating model that brings both under control.
Employees are pasting sensitive data into AI tools through the browser, where there’s no file transfer to flag and no unusual traffic to detect. Meanwhile, autonomous agents run 24/7 with valid credentials and broad API access, so misuse blends into normal operations. Existing DLP, access, and endpoint tools weren’t built to see either one, which is why so few security teams report good visibility into how AI is actually being used.
You can’t govern what you can’t see, and you can’t keep governance current with point-in-time assessments. Most organizations are missing an accurate inventory of their AI tools, users, data flows, agents, and MCP servers. Without that baseline, AI policies rely on assumptions, and agents accumulate permissions with no human lifecycle to rein them in.
AISPM is built on three interdependent pillars. Visibility builds a structured picture of the AI environment across both the activity and infrastructure layers. Governance and control define how AI may be used, by whom, and with what safeguards, using frameworks like NIST AI RMF and ISO 42001. Continuous monitoring flags new shadow AI and agent permission drift in real time. Together, they let organizations accelerate AI adoption with confidence instead of friction.
Digital Hands operates AI security posture management end to end. AI Security Advisory establishes your baseline and builds a prioritized remediation roadmap. Governance support turns findings into acceptable use policies and regulatory readiness. Managed AI Security pairs continuous monitoring with analyst-led detection and response from our 24/7 U.S.-based SOC. The result: AI adoption your security team can actually see and govern.