In a major step toward safeguarding the future of AI, SplxAI, a trailblazer in offensive security for Agentic AI, has raised $7 million in seed funding. The round was led by LAUNCHub Ventures, with strategic participation from Rain Capital, Inovo, Runtime Ventures, DNV Ventures, and South Central Ventures. The new capital will accelerate the development of the SplxAI Platform, designed to protect organizations deploying advanced AI agents and applications.
As enterprises increasingly integrate AI into daily operations, the threat landscape is rapidly evolving. By 2028, it’s projected that 33% of enterprise applications will incorporate agentic AI — AI systems capable of autonomous decision-making and complex task execution. But this shift brings with it a vastly expanded attack surface that traditional cybersecurity tools are ill-equipped to handle.
“Deploying AI agents at scale introduces significant complexity,” said Kristian Kamber, CEO and Co-Founder of SplxAI. “Manual testing isn’t feasible in this environment. Our platform is the only scalable solution for securing agentic AI.”
What Is Agentic AI and Why Is It a Security Risk?
Unlike conventional AI assistants that respond to direct prompts, agentic AI refers to systems capable of performing multi-step tasks autonomously. Think of AI agents that can schedule meetings, book travel, or manage workflows — all without ongoing human input. This autonomy, while powerful, introduces serious risks including prompt injections, off-topic responses, context leakage, and AI hallucinations (false or misleading outputs).
Moreover, most existing protections — such as AI guardrails — are reactive and often poorly trained, resulting in either overly restrictive behavior or dangerous permissiveness. That’s where SplxAI steps in.
The SplxAI Platform: Red Teaming for AI at Scale
The SplxAI Platform delivers fully automated red teaming for GenAI systems, enabling enterprises to conduct continuous, real-time penetration testing across AI-powered workflows. It simulates sophisticated adversarial attacks — the kind that mimic real-world, highly skilled attackers — across multiple modalities, including text, images, voice, and even documents.
Some standout capabilities include:
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Dynamic Risk Analysis: Continuously probes AI apps to detect vulnerabilities and provide actionable insights.
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Domain-Specific Pentesting: Tailors testing to the unique use-cases of each organization — from finance to customer service.
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CI/CD Pipeline Integration: Embeds security directly into the development process to catch vulnerabilities before production.
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Compliance Mapping: Automatically assesses alignment with frameworks like NIST AI, OWASP LLM Top 10, EU AI Act, and ISO 42001.
This proactive approach is already gaining traction. Customers include KPMG, Infobip, Brand Engagement Network, and Glean. Since launching in August 2024, the company has reported 127% quarter-over-quarter growth.
Investors Back the Vision for AI Security
LAUNCHub Ventures’ General Partner Stan Sirakov, who now joins SplxAI’s board, emphasized the need for scalable AI security solutions: “As agentic AI becomes the norm, so does its potential for abuse. SplxAI is the only vendor with a plan to manage that risk at scale.”
Rain Capital’s Dr. Chenxi Wang echoed this sentiment, highlighting the importance of automated red teaming for AI systems in their infancy: “SplxAI’s expertise and technology position it to be a central player in securing GenAI. Manual testing just doesn’t cut it anymore.”
New Additions Strengthen the Team
Alongside the funding, SplxAI announced two strategic hires:
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Stan Sirakov (LAUNCHub Ventures) joins the Board of Directors.
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Sandy Dunn, former CISO of Brand Engagement Network, steps in as Chief Information Security Officer to lead the company’s Governance, Risk, and Compliance (GRC) initiative.
Cutting-Edge Tools: Agentic Radar and Real-Time Remediation
In addition to the core platform, SplxAI recently launched Agentic Radar — an open-source tool that maps dependencies in agentic workflows, identifies weak links, and surfaces security gaps through static code analysis.
Meanwhile, their remediation engine offers an automated way to generate hardened system prompts, reducing attack surfaces by 80%, improving prompt leakage prevention by 97%, and minimizing engineering effort by 95%. These system prompts are critical in shaping AI behavior and, if exposed or poorly designed, can become major security liabilities.
Simulating Real-World Threats in 20+ Languages
SplxAI also supports multi-language security testing, making it a global solution for enterprise AI security. The platform simulates malicious prompts from both adversarial and benign user types, helping organizations uncover threats like:
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Context leakage (accidental disclosure of sensitive data)
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Social engineering attacks
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Prompt injection and jailbreak techniques
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Toxic or biased outputs
All of this is delivered with minimal false positives, thanks to SplxAI’s unique AI red-teaming intelligence.
Looking Ahead: The Future of Secure AI
As businesses race to integrate AI into everything from customer service to product development, the need for robust, real-time AI security has never been greater. SplxAI is leading the charge to ensure AI systems are not only powerful—but trustworthy, secure, and compliant.
“We’re on a mission to secure and safeguard GenAI-powered apps,” Kamber added. “Our platform empowers organizations to move fast without breaking things — or compromising trust.”
With its fresh capital and momentum, SplxAI is poised to become a foundational layer in the AI security stack for years to come.
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