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Continuous Security Testing for AI Assistants and Agents
Detect and remediate vulnerabilities in your Agentic AI apps and workflows before they cause serious harm.
Introducing Splx AI
Fully Automated AI Red Teaming
Simulate real-world attacks on your AI systems across the lifecycle from training data to runtime prompts — without writing a single test case.
Detailed risk analysis
The SplxAI Platform identifies vulnerabilities and provides detailed insights to ensure your AI systems are continuously secure.
Continuous & automated
Maintain robust defenses by testing for the latest attack strategies.
Domain-specific pentesting
Get precise risk assessments for the specific use-cases of your apps.
Framework & compliance check
Map your AI risk surface to all relevant AI security frameworks and policies to meet regulatory requirements at all times.
Autonomous Security Testing
Simulate Real Threats. At Scale. Automatically.
SPLX automates AI red teaming with smart modules that simulate
real-world threats—like jailbreaks, prompt injections, and regressions—without human input. Always evolving. Always testing.
Why Choose SplxAI
Built by Red Teamers. Trusted by AI Leaders.
SPLX isn’t a one-size-fits-all security platform — it’s purpose-built for AI-first companies that take LLM safety seriously. From the first line of prompt to the final deployment, SPLX has your back.
Enterprise-Ready
Built for Scale & Security
Designed for enterprises that need trust, uptime, and seamless team collaboration.
Transparent by Default
Fully Auditable Testing
All attack simulations and test results are documented, reproducible, and exportable.
Expert Built
Created by Real Red Teamers
Created by red teamers from OpenAI, Meta, and Google to mimic realistic adversaries.
Compliance-First
Aligned with Industry Standards
SPLX maps every test to OWASP LLM Top 10, NIST, and ISO to help you stay compliant.
Know the Risks
Top Risks in Conversational AI Systems
Context leakage
Sensitive infomation being unintentionally exposed, leading to compromised security and proprietary data.
Social engineering
Manipulating user trust to extract personal or sensitive information, potentially causing data breaches and identity theft.
Jailbreak
Type of prompt injection that bypasses preset constraints to allow unauthorized and harmful activities.
Off-topic usage
Causing chatbot to engage in irrelevant conversations, reducing effectiveness and user satisfaction.
Intentional misuse
Lack of sufficient guardrails and input filters, enabling unexpected behavior and draining resources.