Strike raises $13.5 million to scale AI offensive security
  • News
  • Latin America

Strike raises $13.5 million to scale AI offensive security

Cybersecurity startup shifts to continuous AI-led offensive testing

11/19/2025
Yassin El Hardouz
Back to News

Strike has entered a new phase of growth after raising $13.5 million in a Series A round completed in March 2025. The company is channeling the capital into artificial intelligence capabilities, a comprehensive engineering reorganization, and upgrades to its proprietary offensive security platform. With these changes, Strike projects annual revenues of around $6 million by 2026 as it scales an AI-led hybrid security model for enterprise clients.


AI-Driven Offensive Security Model

At the core of the new strategy is a continuous, AI-driven offensive security framework that operates around the clock. The platform runs automated offensive exercises across clients’ digital environments, aiming to detect vulnerabilities earlier and reduce exposure windows. This always-on posture replaces traditional periodic penetration testing cycles with continuous validation, monitoring, and response.

In-House Technology and Ethical Hacker Community

The new phase is built entirely on in-house technology trained with real-world data from Strike’s global community of ethical hackers, known as Strikers. By combining machine learning, agent-based automation, and human expertise, the company aims to replicate complex pentesting practices at greater speed and scale. According to internal research, the AI models reach between 60 and 80 percent of an experienced human’s effectiveness while operating more than 60 times faster.

AI-Guided Retesting and Attack Simulation

Strike has embedded its technology into new capabilities such as AI-led Retesting and AI-led Attack Simulation. AI-led Retesting automatically and continuously revalidates known vulnerabilities, ensuring that previously identified issues do not reappear unnoticed in production environments. AI-led Attack Simulation monitors infrastructure daily and executes offensive exercises whenever new digital assets or changes in the attack surface are detected.

Engineering Reorganization and AI-First Structure

To support this product shift, the company has reorganized its engineering operations around an AI-first structure. The teams responsible for artificial intelligence, data science, offensive security, and product development now work within a single collaborative core that shares metrics and findings in real time. Each test performed by specialists feeds back into the models, turning every discovered vulnerability into new training data and steadily enhancing detection accuracy.

Enhanced Customer Experience and Continuous Monitoring

The updated platform is designed to improve how customers see and manage cyber risk. Organizations gain real-time visibility into critical security events, faster vulnerability detection, and automated check-ups that reduce manual workload for internal teams. Continuous monitoring supports daily assessments and quicker incident response, replacing one-off projects with uninterrupted protection.

Regional Footprint and Strategic Role of Brazil

Strike operates across the Americas, serving clients in Mexico, Colombia, Chile, Argentina, Brazil, and the United States. Its customers span financial services, technology, retail, healthcare, and telecommunications, including Brazilian firms such as Paggo, Klubi, Pagme, Growth Machine, Córtex Intelligence, CRMBonus, Tago, and COMP. Brazil is viewed as a strategic market because of its scale, technological maturity, and strong demand for AI-powered offensive security.

Growth Outlook and Market Opportunities

The company expects that by the end of 2025, half of its existing customer base will have transitioned to the AI-led hybrid model. For 2026, Strike forecasts annual revenues of US$6 million and a portfolio of around 200 corporate clients with more than one thousand employees each. Approximately 35 percent of new revenue is projected to come from mid-sized businesses, a segment that is increasingly seeking automated and continuous security solutions.


With its AI-centric approach, Strike aims to merge machine efficiency with human insight from a global network of ethical hackers. The company’s strategy focuses on scalable models trained on thousands of real tests, enabling broader coverage and more frequent analysis than traditional pentesting alone. Supported by a revamped engineering structure and a new visual identity inspired by developer and hacker culture, Strike is positioning itself as a continuous offensive security partner for organizations across the Americas.