Prompt Security & LLM Hardening

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.

500k+

Injection Patterns Blocked

<10ms

Real-time Filtering Latency

0%

Training Data Leakage

24/7

Adaptive Threat Monitoring

Core Capabilities

Three Pillars of Offensive Security

Pillar 01

Input Sanitization & Filtering

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.

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.

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.

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.
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Step 01

Red Team Simulation

Our team attempts to "break" your model using the latest public and proprietary injection techniques.
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Step 02

Real-time Interception

We deploy an orchestration layer that sits between the user and the LLM, scrubbing every interaction.
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Step 03

Hardening & Feedback

Continuous retraining of the defense layer based on attempted exploits.
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Step 04

Don't let a single prompt compromise your entire infrastructure.