Side-by-side comparison of AI visibility scores, market position, and capabilities
AI cybersecurity automating pen testing. $40M raised (Mar 2026, Khosla). Founded by OpenAI's first security hire and Meta red team lead. Backed by Anthropic.
RunSybil is a cybersecurity company automating penetration testing using AI, founded by two operators with exceptional offensive security credentials: OpenAI's first security hire and a former lead of Meta's red team. This founding pedigree is central to RunSybil's positioning — the company was built by practitioners who understand adversarial tradecraft at the highest level and designed the platform around the workflows and depth that real penetration testers employ, rather than retrofitting AI onto legacy vulnerability scanning approaches.\n\nTraditional penetration testing is expensive, slow, and point-in-time: organizations typically conduct manual pen tests annually or quarterly, leaving long windows of unassessed exposure between engagements. RunSybil's AI-driven platform enables continuous, automated penetration testing that mimics the creative, multi-step attack chains that skilled human testers would pursue — covering web applications, APIs, network infrastructure, and cloud environments with an aggressiveness and comprehensiveness that scheduled manual testing cannot match at scale or cost.\n\nThe company raised $40 million in March 2026 from Khosla Ventures, one of Silicon Valley's most prominent deep technology investors, reflecting strong conviction in both the market opportunity and the team's ability to execute. RunSybil enters the market at a moment when organizations face escalating cyberattack frequency and sophistication while security budgets remain under pressure to demonstrate measurable risk reduction. Automated offensive security testing is emerging as a critical capability for security teams that need to find and fix vulnerabilities at the speed attackers discover and exploit them.
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.
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.