Enterprise-grade red teaming platform that identifies and validates adversarial vulnerabilities in AI systems before they reach production.
For CISOs, security teams, and AI engineers in regulated industries. Compliance-ready evidence. Stateful adversarial reasoning. Continuous assurance.
AI systems introduce unprecedented security challenges that legacy approaches cannot adequately address.
AI models exhibit non-deterministic outputs, making point-in-time testing insufficient to validate true safety across the distribution of possible responses.
Fine-tuning, RAG updates, and agent capabilities create constantly evolving threat surfaces that traditional regression testing cannot capture.
Regulators require audit trails, attack trees, and causal explanations. Traditional pen testing produces unreproducible, ad-hoc results.
Purpose-built for AI security, with a focus on continuous testing, explainability, and regulatory compliance.
AI-powered reasoning engine that understands context, objectives, and multi-step attack chains across conversation history.
Automated testing that runs continuously on your production models, detecting regressions and new vulnerabilities as they emerge.
Every attack generates an interpretable decision tree showing the reasoning, steps, and conditions that led to the vulnerability.
Audit logs, evidence packages, and integration with compliance frameworks (NIST, OWASP, EU AI Act) out of the box.
A four-step process for comprehensive AI security testing
Specify your AI system, models, deployment, and security objectives to test.
Preemptics orchestrates adversarial scenarios using stateful reasoning and multi-step chains.
Analyze impact, success conditions, and generate reproducible attack trees.
Get compliance-ready evidence, audit logs, and actionable remediation guidance.
Comprehensive tooling for adversarial testing and evidence generation
Define testing campaigns with specific attack objectives, scope, and constraints. Schedule automated continuous testing.
Multi-step adversarial reasoning with context awareness, tool use planning, and jailbreak detection.
Execute attacks against live models with safety mechanisms and evaluate impact against defined criteria.
Explore and understand each attack with interactive decision trees and causal explanations.
Comprehensive audit trails, attack records, and compliance-ready evidence packages.
Native support for OWASP LLM, NIST AI RMF, ISO 42001, and EU AI Act requirements.
From pre-production validation to continuous compliance
Test models before deployment to catch vulnerabilities early and validate security assumptions.
Learn MoreAutomated detection of regressions and new vulnerabilities as models are fine-tuned or RAG data updates.
Learn MoreValidate autonomous agents for tool use, planning, and goal hijacking vulnerabilities.
Learn MoreGenerate audit-ready evidence and compliance documentation for regulators and internal governance.
Learn MoreSecurity teams and CISOs rely on Preemptics to secure their AI systems
"Preemptics provides the continuous assurance we need for our production AI systems. The compliance evidence is exactly what our auditors require."
Sarah Chen
CISO, Financial Services
Enterprise Bank
"The attack trees are game-changing. They show us exactly how models can be misused and help our team prioritize fixes."
Marcus Rodriguez
VP Security Engineering
Tech Platform
"We went from manual pen testing to continuous automated red teaming. The operational efficiency gains are huge."
Lisa Thompson
Security Lead, AI/ML
Healthcare AI Startup
Schedule a personalized demo with our team. We'll walk you through Preemptics and show how it can protect your AI deployments.