Side-by-side comparison of AI visibility scores, market position, and capabilities
Israeli AI agent security startup protecting enterprise AI agent deployments from prompt injection and model compromise. $40M raised (March 2026); Fortune 500 customers; founded 2024; addresses the emerging AI agent attack surface.
Onyx Security is an Israeli AI agent security startup founded in 2024 to address the emerging attack surface created by enterprise AI agent deployments. As organizations deploy autonomous AI agents that can take actions, access data, and interact with external services, Onyx identified a critical security gap: existing enterprise security tools were built for human users and traditional software, not for AI agents that operate autonomously and can be manipulated through prompt injection, model compromise, or tool misuse. Onyx was founded to build the security infrastructure layer that makes enterprise AI agents safe to deploy at scale.\n\nOnyx's platform monitors, governs, and protects enterprise AI agent deployments in real time — detecting anomalous agent behavior, enforcing least-privilege access policies, preventing prompt injection attacks, and providing audit trails for agent actions. The product is designed for Fortune 500 enterprises deploying AI agents in business-critical workflows where a compromised or misbehaving agent could exfiltrate data, take unauthorized actions, or cause operational harm. Onyx integrates with leading agentic AI platforms and enterprise security infrastructure without requiring architectural changes to existing agent deployments.\n\nOnyx Security raised $40 million in March 2026 and counts Fortune 500 companies among its early customers — a remarkable milestone for a company less than two years old. The funding and customer traction validate both the urgency of the AI agent security problem and Onyx's technical approach. The company is positioned to lead the AI agent security category as enterprise agentic deployments accelerate globally and CISOs begin to demand purpose-built security controls for AI systems operating in production environments.
Data platform for security and observability acquired by Cisco for $28B in March 2024. Used by 90 of Fortune 100; 7,500+ enterprise customers globally; flagship SIEM and Splunk SOAR power enterprise security operations centers.
Splunk is a data platform for security and observability founded in 2003 in San Francisco, built on the idea that machine-generated data — logs, events, metrics, traces — contains the intelligence organizations need to detect threats, investigate incidents, and ensure digital systems stay available. The company's core technology indexes and searches massive volumes of machine data in real time, enabling security and IT operations teams to answer complex questions across their entire data estate without predefined schemas.\n\nSplunk's flagship product is its SIEM (Security Information and Event Management) platform, used by 90 of the Fortune 100 to detect and respond to security threats. Its broader portfolio includes Splunk Observability Cloud for infrastructure monitoring, Splunk SOAR for security orchestration and automated response, and Splunk IT Service Intelligence for IT operations. The platform's schema-on-read approach and SPL query language give analysts flexibility to investigate novel threats and operational issues that structured databases cannot accommodate.\n\nSplunk was acquired by Cisco for $28B in March 2024, one of the largest cybersecurity acquisitions in history, and has been integrated into Cisco's AI-driven security portfolio. The combination of Cisco's network telemetry and global customer relationships with Splunk's data analytics depth creates a powerful full-stack security and observability offering. Under Cisco, Splunk is adding AI-native features — including AI Assistant for SPL and automated threat detection — to maintain its leadership position as the SIEM market evolves toward AI-augmented security operations.
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