Insights
Insights
Free articles on AI strategy, governance, security, data and operations, organized by the same six areas as our Research library.
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The Retrieved Document Is Not a Command: Prompt-Injection Controls for Enterprise AI
A practical design for keeping retrieved documents and tool results from becoming unauthorized instructions or actions in enterprise AI systems.
Agent Fleet Infrastructure: How to Buy Density Without Losing Isolation
Running a thousand AI agents is not the same infrastructure problem as running a thousand long-lived application services. Agents may wake to use a tool, wait for a model response, [...]
Agentic Autofix ROI: How to Measure Fix Quality, Review Work, and Regressions
Agentic security remediation should be judged by verified risk reduction per unit of engineering effort—not by the number of pull requests an AI agent opens. A proposed fix only creates [...]
Buying AI Security Agents: A Third-Party Risk and Control Framework
Buying an AI security agent is not the same as buying another monitoring tool. A conventional product may collect telemetry, detect a threat, and recommend a response. An agent may [...]
How to Evaluate Enterprise AI Agents Before Giving Them Autonomy
A practical enterprise AI agent evaluation framework covering business outcomes, prohibited actions, multi-step tests, repeated trials, approvals, pilot gates and continuous assurance.
Enterprise AI Agents in Production: A Reliable Runtime Architecture
A reference architecture for production AI agents: durable state, transaction safety, scoped tool execution, approvals, observability, recovery, and operating metrics.
Zero Data Retention in Enterprise AI: What Contracts Miss
Zero data retention does not answer every enterprise privacy question. Compare storage custody, monitoring, logs, connector access, deletion and contractual safeguards before buying.
From Cloud Compromise to Credential Harvesting in Under Six Hours: A Defensive Playbook
A documented 2026 agent-enabled attack compressed credential harvesting into hours. Defensive controls for cloud identities, detection and practiced containment.
Four Control Planes for Enterprise AI Agents: Identity, Authorization, Egress and Audit
A four-part framework for governing enterprise agents through independently enforceable identity, authorization, egress and audit controls.