The rise of artificial intelligence (AI) is not only transforming the way companies develop products and services, but has also opened new security gaps that require immediate attention. Following this point, Zscaler has announced the acquisition of SPLX, a company specialized in AI asset protection and automated network teaming, with the intention of expanding its Zscaler Zero Trust Exchange platform and guaranteeing the protection of the full lifecycle of AI in corporate environments.
SPLX Integration Strengthens AI Security
With this operation, Zscaler seeks to address one of the main current challenges: how to secure the constantly evolving models, agents and Large Language Models (LLMs). The company emphasizes the importance of a “shift-left” security strategy, which allows risks to be identified and corrected from the development phase, before models reach production.
Jay Chaudhry, CEO, President and Founder of Zscaler, explains, “Today we take an important step forward as a trusted partner in the secure adoption of AI for enterprises. AI is generating enormous value, but its true potential can only be realized if it is properly secured. By combining SPLX’s technology with the intelligence of the Zscaler Zero Trust Exchange and its native data protection, which classifies, governs and prevents the loss of sensitive data in prompts, models and results, Zscaler will protect the entire lifecycle of AI on a single platform. This will reinforce our industry leadership and give customers the confidence to safely adopt AI.”
Zscaler strengthens AI security with the purchase of SPLX
A new standard in AI asset detection and governance
SPLX’s technology will enable Zscaler to expand its current capabilities, bringing AI asset detection in public and private environments, risk assessment, threat inspection, and model governance integrated into the Zero Trust Exchange platform. This includes AI models, workflows, code repositories and servers with the Model Context Protocol (MCP), as well as RAGs and AI agents.
Among the notable features to be added are automated real-time attack and remediation simulations, known as red teaming, with more than 5,000 domain-specific tests designed to identify vulnerabilities before they impact production. Additionally, AI runtime protection barriers will be strengthened, blocking malicious attacks and protecting sensitive data throughout the models’ lifecycle.
Governance and regulatory compliance as a strategic pillar
With the acquisition of SPLX, Zscaler also strengthens the ability of companies to comply with regulatory frameworks and internal AI governance policies. The platform will enable companies to move from a reactive defense to a proactive approach, mitigating risks and ensuring AI assets are managed securely and efficiently from creation to deployment.
Kristian Kamber, CEO and co-founder of SPLX, highlights, “Zscaler and SPLX share a vision to address the vast new attack surface created by investments in rapidly expanding AI infrastructure. By joining forces, we will bring our innovation to one of the most trusted security platforms in the world, ensuring innovation in AI at the rate that enterprises are adopting it.”
Investment in AI infrastructure and the security challenge
Analysts project that by the end of 2025, investments in AI infrastructure will exceed €217 billion, reflecting the acceleration of the deployment of advanced models in all types of companies. This growth, however, creates a broader and more complex attack surface, known as shadow AI, where agents and models can operate unsupervised, increasing the risk of exposing sensitive data.
Zscaler’s approach with SPLX integration focuses on covering the entire AI lifecycle, from development to production, continuous monitoring and risk management. This includes the automation of protective barriers, continuous threat assessment and integrated governance, key elements so that companies can fully trust their AI systems.
A step towards safe AI in companies
With this acquisition, Zscaler reinforces its leadership in cloud security and positions itself as a benchmark for the safe adoption of AI in corporate environments. Combining SPLX’s expertise in red teaming and AI asset governance with the Zero Trust Exchange platform provides enterprises with a unified solution to protect their AI investments and ensure regulatory compliance, while harnessing the full potential of artificial intelligence.
The move also highlights the growing need for specialized security solutions for AI, in a context where technological innovation accelerates faster than data protection policies and regulatory standards. For organizations, having integrated and automated AI protection tools becomes an essential requirement to minimize risks and maintain the trust of customers and partners.
