Architectural Controls That Make System Prompt Contents Irrecoverable to End Users
Prompts can't keep secrets, so the fix is architectural controls.
Marco Quist
Section
Data Exfiltration
20 stories in Data Exfiltration.
Monitoring Third-Party LLM Deployments for Backend Instruction Probing You Do Not Control
Watch the API boundary for drift, exfiltration, and hijacked instructions.
Hugo Dvorak
Runtime Behavioral Scoring to Distinguish Exfiltration Probes From Benign LLM Queries
Scoring live sessions catches exfiltration probes that input filters miss.
Hugo Dvorak
Cross-Session Query Correlation as an Early Signal of Incremental Context Extraction
Linking queries across sessions may expose extraction attempts that per-session guardrails miss.
Bianca Espinoza
Runtime Behavioral Baselines for Detecting Adversarial Query Campaigns Against Vendor LLM APIs
Behavioral baselines reveal attack patterns hidden in individual queries.
Bianca Espinoza
Adversarial Query Patterns That Signal System Prompt Extraction Attempts
Hugo Dvorak
Enterprise AI Security Platforms for LLM Prompt Injection and Data Exfiltration Protection
Prompt injection and exfiltration expose gaps that firewalls and DLP can't close.
Selah Beck
Covert Channel Data Exfiltration in LLM Agents
Attackers use hidden instructions to turn agent tools into data exfiltration channels.
Bianca Espinoza
Cloud LLM API Logging and Audit Trail Requirements
Regulators now require LLM systems to log prompts, decisions, and outputs—not just API calls.
Hugo Dvorak
LLM System Prompt Confidentiality and Data Leakage
System prompts leak secrets because models can't distinguish instructions from user input.
Selah Beck
Covert Data Exfiltration via LLM Markdown Rendering
Attackers hide instructions in documents to trick AI systems into leaking data through rendering.
Hugo Dvorak
How LLMs Leak Training Data
Models memorize fragments word-for-word and hand them back to anyone who asks the right way.
Bianca Espinoza
LLM Data Loss Prevention Tool Evaluation
Sensitive data now flows into AI tools constantly—and legacy security tools can't stop it.
Marco Quist
Preventing PII Exfiltration in Customer-Facing LLM Chatbots
Three attack pathways expose customer data in AI chatbots, each requiring separate defenses.
Bianca Espinoza
PII Exposure in LLM Application Logs
Prompt and completion logging quietly turns observability tools into PII stores.
Selah Beck
Data Exfiltration Through LLM Tool and Function Calls
Attackers can steer your AI agent's approved tool access to move data out.
Hugo Dvorak
Data Exfiltration Through LLM Tool Calls
Tool-enabled agents turn authorized actions into the leak itself.
Hugo Dvorak
System Prompt Confidentiality and Leakage
Anything in a system prompt can be extracted, so keep secrets out.
Selah Beck
RAG Pipeline Data Exposure Risks in Enterprise Deployments
Enterprises racing to deploy RAG systems are spending 17 times more on AI tools than securing them.
Hugo Dvorak
RAG System Data Leakage Risks
Vector databases leak proprietary information because access controls don't follow data.
Hugo Dvorak