As cyber threats grow more sophisticated and attack surfaces expand, organizations are increasingly looking for smarter ways to manage security risks. In response to this evolving landscape, Netherlands-based cybersecurity company Gambit Cyber has announced a strategic partnership with Singapore-headquartered BitCyber to expand the reach of its flagship KnightGuard platform across Singapore, ASEAN, and Hong Kong.
Under the agreement, BitCyber will serve as the regional distributor for KnightGuard, leading enterprise sales, channel development, and go-to-market initiatives across the region. The partnership will initially focus on industries such as financial services, healthcare, critical infrastructure, and technology, with plans to broaden its reach through 2026.
Addressing the Challenges of an AI-Powered Threat Landscape
The partnership comes at a time when cybersecurity operations are undergoing significant transformation. As cybercriminals increasingly leverage artificial intelligence to automate attacks, organizations face mounting pressure to move beyond traditional, human-led security approaches.
Gambit Cyber and BitCyber aim to help enterprises shift from reactive security models—often characterized by overwhelming numbers of alerts and disconnected tools—to a more automated, threat-informed, and outcome-driven approach.
At the center of this strategy is KnightGuard, Gambit Cyber’s AI-native Continuous Threat Exposure Management (CTEM) platform. The solution uses a coordinated network of autonomous AI-driven capabilities to continuously monitor threats, analyze security data, orchestrate workflows, and provide actionable insights across an organization’s digital environment.
Prioritizing Real Risks Over Alert Fatigue
Unlike traditional vulnerability management tools that primarily identify potential weaknesses, KnightGuard focuses on determining which vulnerabilities are actually exploitable and quantifying their business impact.
Through AI-powered automation and built-in cyber risk quantification, the platform enables security teams to identify, validate, and prioritize exposures based on real-world exploitability. This approach helps organizations reduce time spent investigating false positives and focus resources on addressing the most critical risks.
“Cybersecurity is moving into an AI-versus-AI era where attackers are automating faster than traditional security operations can respond,” said Gambit Cyber Co-Founders Anuj and Manuj Kumar. “Together with BitCyber’s reach across Singapore, ASEAN, and Hong Kong, we are building a regional ecosystem that enables enterprises to move beyond fragmented, reactive security toward continuous, AI-native, and cyber risk-quantified exposure management.”
The founders added that modern security leaders require more than just alerts—they need visibility into what genuinely threatens business operations and a clear understanding of the associated risks.
Enhancing Cyber Resilience Across the Region
BitCyber sees the partnership as an opportunity to help organizations gain a clearer picture of their cybersecurity posture and make more informed decisions about risk management.
“Security leaders do not need more alerts—they need to know what is actually putting the business at risk and by how much,” said Philip Ng, Co-Founder and CEO of BitCyber. “KnightGuard’s unified cyber risk quantification provides CISOs with a continuously validated view of real exposure translated into business impact. That changes the conversation from technical findings to meaningful business outcomes.”
Strengthening Regional Presence
As part of its long-term investment in Asia-Pacific, Gambit Cyber also announced plans to establish a dedicated Singapore-based tenancy for ASEAN customers. The move is intended to support data sovereignty requirements, regulatory compliance, and localized operations for both enterprise and government organizations throughout the region.
With cyber threats continuing to evolve at an unprecedented pace, the Gambit Cyber–BitCyber partnership seeks to provide organizations with a more proactive, intelligent, and measurable approach to managing cybersecurity risks in an increasingly AI-driven world.