Cybersecurity firm Deepwatch lays off dozens, citing move to accelerate AI investment - TechCrunch

Cybersecurity firm Deepwatch has announced layoffs affecting dozens of employees as part of a strategic shift to accelerate investment in artificial intelligence (AI). This move reflects the growing trend within the cybersecurity industry to leverage AI technologies for enhanced threat detection and response capabilities. The layoffs are aimed at reallocating resources to bolster AI-driven security solutions, which are becoming increasingly vital in combating sophisticated cyber threats. Deepwatch's decision underscores the importance of innovation and adaptation in the cybersecurity sector, where AI is playing a transformative role in protecting digital assets and infrastructure. The integration of AI in cybersecurity allows for real-time analysis of vast amounts of data, enabling faster identification of anomalies and potential attacks. Deepwatch's investment in AI is expected to improve their service offerings, providing clients with more proactive and predictive security measures. While layoffs are challenging for affected employees, the company's focus on AI highlights a commitment to staying at the forefront of cybersecurity technology. This development also signals a broader industry trend where cybersecurity firms are prioritizing AI to address the evolving threat landscape. As cyberattacks become more complex and frequent, AI-powered tools offer a critical advantage in threat intelligence and incident response. Deepwatch's strategic pivot may inspire other companies to follow suit, accelerating the adoption of AI across the cybersecurity ecosystem. In summary, Deepwatch's layoffs are part of a calculated effort to enhance their AI capabilities, reflecting the dynamic nature of cybersecurity and the increasing reliance on advanced technologies to safeguard against emerging threats. This move is indicative of the sector's future direction, where AI will play a central role in defense strategies and operational efficiency.

This Cyber News was published on techcrunch.com. Publication date: Thu, 13 Nov 2025 00:44:04 +0000


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