PRISMSecure: Secure Fine-Tuning for Your LLMs
Upload, fine-tune, and benchmark models securely with vulnerability-aware datasets and embedded guardrails.
the challenge
As organizations rapidly deploy LLMs across business workflows, new risks emerge that traditional security controls are not designed to handle.
LLMs introduce new and unpredictable attack surfaces
Prompt injection, data leakage, and model manipulation can bypass traditional security controls.
Sensitive data exposure risks are increasing
Models may unintentionally reveal training data, inputs, or confidential information without proper safeguards
Lack of visibility into model behavior and decisions
Organizations often struggle to understand how models respond under adversarial or edge-case scenarios.
Compliance and governance expectations are evolving
Regulations around AI security, privacy, and accountability are emerging faster than most organizations can adapt.
Security controls are not designed for AI systems
Existing application and infrastructure security approaches do not fully address model-level risks.
Our Approach
PrismSecure - SISA’s enterprise-grade LLM hardening and assurance module is designed to make AI models secure, trustworthy, and compliance-ready without sacrificing performance.
Secure Fine-Tuning
Fine-tune models using datasets specifically aligned with identified vulnerabilities. Our process ensures your models become more robust against attack vectors while maintaining performance.
Model Vault & Tracking
Upload and securely store your models with comprehensive tracking of all tuning jobs, risk assessments, and performance metrics. Complete audit trail for compliance and governance.
Built-In Guardrails
Embed advanced protection mechanisms directly into your model architecture. Prevents hallucinations, bias amplification, and jailbreak attempts at the model level.
Service Offerings
PrismSecure helps organizations harden, test, and secure AI models across the LLM lifecycle. You can implement guardrails and controls at the prompt, model, and output layers to prevent misuse, leakage, and unsafe responses.
Upload the model: Securely upload your base model to our encrypted vault
Identify risks: PrismStrike analyses vulnerabilities and attack vectors
Generate datasets: Create vulnerability-aligned training dataset
Fine-tune securely: Apply secure fine-tuning with embedded guardrail
Re-test and deploy: Validate security improvements and deploy safely
BENEFITS
PrismSecure helps organizations move from experimental AI use to secure, production-ready deployments, offering significant improvement in security.
Significant reduction in harmful and unsafe outputs
Reduce model toxicity from 80% to 10%, enabling safer and more controlled responses.
Lower exposure to prompt injection and adversarial attacks
Minimize prompt injection risks from high to low through robust guardrails and adversarial testing.
Improved trust in AI-driven decisions
Ensure models behave predictably and safely across real-world and edge-case scenarios.
WHY SISA
SISA’s PrismSecure combines forensic intelligence, adversarial testing, and model-level hardening to deliver real-world AI security.
Forensics-led AI security approach
Built on insights from real-world breach investigations to address how attackers exploit AI systems in practice.
Adversary-driven testing, not static checks
Simulate prompt injection, jailbreaks, and abuse scenarios to validate model behavior under realistic attack conditions.
Model-level hardening with guardrail design
Implement targeted controls across prompts, model behavior, and outputs to reduce risk without impacting performance.
Actionable, evidence-backed outcomes
Deliver clear validation, measurable risk reduction, and practical recommendations to strengthen AI security posture.
Secure Your AI Deployments