Resources
Threat research, compliance guides, architecture patterns, and product updates from the Tebrim security team.
Most security teams have robust controls for human users and traditional workloads. But AI agents — autonomous systems that call APIs, read databases, and execute code — operate entirely outside those controls. This guide explains why, and what to do about it.
Direct injection, indirect injection via RAG pipelines, and jailbreak patterns — what they are, how they work, and how to detect them before they cause damage.
How to satisfy CC6.1, CC7.2, and CC9.2 trust services criteria when your environment includes LLM endpoints, agent frameworks, and autonomous AI pipelines.
Network segmentation was designed for traditional workloads. AI agents break the model. Here's how identity-based microsegmentation restores the zero trust boundary.
A technical deep-dive into Tebrim's agentless discovery engine — how cloud API enumeration, network flow analysis, and DNS intelligence combine to surface every AI workload.
Articles 9, 12, 13, and 14 explained for engineering and security teams. What documentation you need, what oversight mechanisms are required, and how to automate compliance.
A framework for separating genuine AI security capability from marketing noise. Ten questions to ask any vendor claiming to secure your AI environment.
Watch a live walkthrough of Tebrim connecting to an AWS organization and surfacing shadow AI in real time.
May 8, 2026
CISOs from financial services and healthcare discuss operationalizing AI governance frameworks in production environments.
May 15, 2026
Hands-on session covering Tebrim's YAML policy format, GitOps integration, and CI/CD enforcement workflows.
May 22, 2026
Cisco's annual survey of security leaders on AI adoption risks, threat exposure, and the widening gap between AI deployment speed and security readiness.
Read more Technical PaperThe authoritative classification of the most critical security risks for applications built on large language models, including prompt injection, insecure output handling, and supply chain vulnerabilities.
Read more RegulationThe full text of the European Union's AI Act — the world's first comprehensive legal framework regulating AI systems, with obligations for high-risk AI deployments including documentation, human oversight, and risk management.
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