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Moshe Bar

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Articles

The Governance Gaps Holding Back Enterprise Agentic Networks

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By Moshe Bar
| Security Boulevard Verified
AI agents create a new identity and permissions problem as many still operate through shared credentials, service accounts or overly broad access. Static security controls are not enough: Agent actions need continuous runtime evaluation based on intent, context, data sensitivity, destination and risk. Enterprise governance must cover the full agent lifecycle, including delegation chains, autonomy levels, unified policies, audit trails, ownership and retirement.
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AI Agents Need Their Own Control Plane (like Kubernetes)

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By Moshe Bar
| Techstrong.ai Verified
The AI industry has spent the past two years obsessing over models. Which LLM scores highest on benchmarks? Which reasoning model is fastest? Which provider has the lowest token price? These are increasingly the wrong questions. Enterprise AI is no longer about individual models. It is about fleets of autonomous agents working together across an organization.
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Why Some Companies Are Pulling Back on AI Coding

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By Moshe Bar
| SD Times Verified
Large language models have changed software development at a pace that rivals or exceeds previous tooling shifts. Tasks that once consumed hours – writing boilerplate, generating unit tests, translating APIs, documenting services, or prototyping new features – can now be completed in minutes. For many developers, AI coding assistants already feel indispensable.
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