Prevalent AI Raises Growth Investment as Demand for AI-Powered Trusted Enterprise Context Accelerates
Bootstrapped and profitable since its first customer, the cybersecurity company will use the investment to accelerate global expansion of its AI-powered data fabric and knowledge graph, trusted by some of the world’s largest enterprises.
SAN FRANCISCO — August 18, 2026 — Haven today announced the appointment of Ken Rudin, Michelle Finneran Dennedy and Renmore
Read more...Agents are already inside enterprise systems operating without oversight. Cyera’s newest products deliver critical trust infrastructure for the age ofmore
Read more...Browser security companion built by MirrorTab, Inc. invites growing businesses and managed service providers to help shape the next phasemore
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For decades, cybersecurity strategy has revolved around a shared assumption: zero-day vulnerabilities are rare, expensive to find, and difficult to exploit at scale. That assumption is now breaking down. The emergence of Mythos, the advanced AI system developed by Anthropic, marks a turning point in how vulnerabilities are discovered, weaponized, and defended against—and it forces security leaders to rethink long-held priorities.
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New AI-powered protection analyzes the context behind emails and browser activity to help users spot threats that traditional filters miss.
Read more...Ransomware is evolving beyond a straightforward data theft issue as technology advances criminal capabilities.…
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Artificial intelligence (AI) has had everyone agog with the possibility of replacing engineers and putting software creation in the hands of non-developers. Everyone is talking about “vibe coding,” where all you have to do is describe a working idea, and an application appears. AI is clearly changing our approach to software development, but it’s not as foolproof as you may think. Building scalable enterprise applications is still hard, especially when you need to make them secure.
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Ransomware has evolved; attackers now hunt for backup systems before launching the main strike. They slip into an environment, corrupt the recovery chain, then trigger the payload when escape routes are already gone. AI is only accelerating this shift, giving attackers tools to scan networks and breach defences at scale. Backups alone no longer guarantee a way out, so organisations need to ensure recovery is fast, predictable, and resilient – even when data protection layers are compromised.
Read more...Attackers increasingly rely on AI to influence behavior in real time. Cyber defense systems are now turning to personalized, trustworthy AI platforms to reduce human-driven incidents by 95%
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