COGNNA raises $9.2M in a Series A funding round to boost its AI cybersecurity platform and global reach. Impact46 leads the round, with BNVT Capital as co-lead and Vision Ventures and Tali Ventures joining in. The Saudi startup, founded in 2022 by Ibrahim Alshamrani and Ziyad AlShehri, now gains resources to advance its Agentic SOC technology.​
Funding Details
Investors announce the deal at the Black Hat MEA 2025 conference in Riyadh. COGNNA plans to direct funds toward product upgrades, sales efforts, team growth, and operations. This Series A follows a $2.25 million seed round in 2023, also led by Impact46, which helped launch initial platform features.​
Platform Capabilities
COGNNA raises $9.2M to scale its platform that merges AI automation with human oversight for threat detection. The Agentic SOC anticipates risks in real time across networks and systems, serving enterprises and smaller firms. It cuts costs, speeds compliance, and builds resilience against attacks by analyzing data patterns proactively.​
Leadership Insights
Ibrahim Alshamrani, CEO and co-founder, states that the funds enable global solutions blending AI and expert input for secure growth. CTO Ziyad AlShehri notes the platform creates proactive defense that learns and adapts to threats. Leaders stress focus on real-time protection, setting COGNNA apart in a crowded market.​
Expansion Plans
The company targets the Middle East and North Africa markets first, then global entry. Funds support AI research, marketing pushes, engineer hires, and scalable infrastructure. COGNNA positions itself to meet rising demand for smart security amid growing cyber threats in the region.​
Market Context
Saudi Arabia invests heavily in an AI cybersecurity platform as digital transformation accelerates. COGNNA’s funding aligns with national efforts to build tech resilience under Vision 2030. The startup’s AI focus addresses surging attacks on financial and government sectors, where quick detection saves millions.​
Future Outlook
COGNNA eyes partnerships with regional banks and tech firms to deploy its SOC widely. Enhanced R&D will refine threat prediction models using machine learning advances. The team plans to double staff in engineering within a year, ensuring rapid delivery of updates. Early clients report faster response times and lower operational costs since adopting the platform.​
