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Analysis on enterprise AI governance, inline policy enforcement, agentic AI security, and regulatory compliance.

Agent Memory Poisoning Turns Yesterday's Text Into Tomorrow's Authority

Agent memory poisoning occurs when untrusted or incorrect content enters a memory store and later returns as trusted context for a model or agent. The risk spans ingestion, retrieval, authorization, and the HTTP calls that carry memory-derived context to an LLM. This article explains the attack path, separates traffic enforcement from memory-store and endpoint controls, and identifies the evidence required to investigate a poisoned memory record.

Problem-Awareai-securityllm-securityagentic-aiprompt-injectionidentity-and-authorizationaudit
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Adversarial ML Threats Reach the LLM Request Boundary

Adversarial ML covers attacks that deliberately shape inputs, models, training data, or evaluation conditions to produce harmful behavior. For LLM deployments, prompt injection and adversarial instructions are especially relevant because untrusted text can reach an agent or model through a normal HTTP request or response. This article separates those traffic-borne attacks from training, endpoint, and credential threats, then defines the policy and evidence an inline enforcement point can provide.

Problem-Awareai-securityllm-securitycybersecurityprompt-injectionzero-trustpolicy-enforcement
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Windsurf DLP: The AI Request Paths That Move Source Code

Windsurf DLP is an AI traffic problem with several source-code egress paths: indexed repositories, inline suggestions, chat context, and agent actions. Each path can carry code, fixtures, configuration, or terminal output to an LLM endpoint. This article separates those paths, defines the policy decisions a deployment needs, and locates DeepInspect at the HTTP boundary while naming the endpoint, repository, and credential controls that remain adjacent.

AI Security Solutionsai-securityllm-securitydata-loss-preventiondlpdevsecopsinline-enforcement
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Snowflake Cortex DLP Needs Policy at the AI Request Boundary

Snowflake Cortex can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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SAP Joule DLP Needs Policy at the AI Request Boundary

SAP Joule can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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Salesforce Einstein DLP Needs Request-Level Policy

Salesforce Einstein can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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Replit Agent DLP Needs Policy at the AI Request Boundary

Replit Agent can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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Perplexity Enterprise DLP Needs Request-Level Policy

Perplexity Enterprise can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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OpenAI Agent Builder DLP Needs Request-Level Policy

OpenAI Agent Builder can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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NVIDIA NIM DLP Needs Policy at the AI Request Boundary

NVIDIA NIM can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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Mistral DLP Needs Policy at the AI Request Boundary

Mistral can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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Microsoft 365 Copilot DLP Needs Request-Level Policy

Microsoft 365 Copilot can carry enterprise context into an LLM workflow. DLP needs a decision point that evaluates the prompt, response, originating identity, data classification, and selected route before content reaches the model. This article sets out the request-path evidence a security review should require.

AI Security Solutionsdata-loss-preventiondlpai-securitypolicy-enforcementinline-enforcement
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