Defend Against Prompt Injection & LLM Exploitation
As enterprises integrate Generative AI, the attack surface shifts from code to natural language. Datasoli provides the defensive layer needed to neutralize adversarial prompts, jailbreaks, and indirect injection attacks before they compromise your data.
We deploy state-of-the-art semantic analysis to intercept malicious intent. By scrubbing hidden system instructions and jailbreak syntax from user inputs, we ensure your LLM stays within its operational guardrails.
Semantic Analysis
Pattern Matching
Jailbreak Detection
Pillar 02
Output Validation & Guardrails
Defense doesn’t stop at the prompt. We monitor model outputs for PII leakage, hallucinated vulnerabilities, and unauthorized data exfiltration to ensure the model never discloses what it shouldn’t.
PII Masking
Factuality Checks
Exfiltration Blocking
Pillar 03
Contextual Sandboxing
Isolate sensitive data from the prompt execution environment. Our architecture ensures that even if a prompt is “successful” in its intent, it lacks the permissions to access your core database or internal APIs.
Role-Based Access Control (RBAC)
API Intermediation
Stateful Monitoring
The Problem
Why Traditional Firewalls Fail AI
Standard Web Application Firewalls (WAFs) are built for static code, not the fluid, unpredictable nature of natural language.
Linguistic Variance
Attacks can be hidden in poetry, code, or foreign languages.
Indirect Injections
Malicious instructions can be pulled from third-party websites or emails.
Context Shifting
Attackers use "roleplay" to bypass standard safety filters.
Our Process
Specialized Defense Workflow
Threat Profiling
We analyze your specific LLM implementation (RAG, Agentic, or Chat) to identify unique vulnerabilities.
Step 01
Red Team Simulation
Our team attempts to "break" your model using the latest public and proprietary injection techniques.
Step 02
Real-time Interception
We deploy an orchestration layer that sits between the user and the LLM, scrubbing every interaction.
Step 03
Hardening & Feedback
Continuous retraining of the defense layer based on attempted exploits.
Step 04
Don't let a single prompt compromise your entire infrastructure.