What's Happening?
Israeli cybersecurity startup Malanta has emerged from stealth mode with a $10 million seed funding round aimed at preventing cyberattacks before they occur. Founded by veterans from CyberArk, Malanta introduces a pre-attack prevention platform designed
to detect and dismantle threat infrastructure before attacks materialize. The platform focuses on identifying early-stage signals such as suspicious domain registrations and phishing toolkits, using predictive intelligence to anticipate potential threats. The company has already secured deployments with customers in financial services, technology, government, and software sectors, and its technology is being utilized by the National Cyber Directorate to dismantle adversary infrastructure.
Why It's Important?
The emergence of Malanta's platform is significant as it addresses the growing threat of AI-driven cyberattacks, which are becoming increasingly sophisticated and rapid. By focusing on pre-attack prevention, Malanta aims to shift the cybersecurity paradigm from reactive to proactive, potentially reducing the impact of cyber threats on businesses and government entities. The platform's ability to map digital footprints and highlight critical assets could provide a durable advantage for enterprises, enhancing their cybersecurity posture. With the global AI and cybersecurity market projected to reach $86 billion by 2026, Malanta's innovative approach could position it as a key player in the industry.
What's Next?
Malanta plans to use the $10 million funding to expand its engineering and go-to-market teams, enhance integration with existing cybersecurity systems, and develop additional data sources for detecting Indicators of Pre-Attack (IoPA). The company also aims to extend its platform's reach to expose attacker infrastructure even earlier in the threat lifecycle. As the platform gains traction, it may attract further interest from investors and potential customers looking to bolster their cybersecurity defenses against AI-driven threats.












