Using AI in Cybersecurity: How DeepSeas Leverages AI
Nate Hausrath, VP of Engineering at DeepSeas, dives into how DeepSeas leverages AI to provide persistent defense to clients.
AI Risk
The DeepSeas AI Security Model
Building an AI risk management program involves a multi-layered approach that starts with strategy and governance before moving on to technical solutions. The first step is to develop a risk strategy that includes understanding data classification, assessing specific AI-related risks, and adopting acceptable use policies.
Emerging AI Risk: AI Becoming (Unintended) Vulnerability Scanner
With the rise of artificial intelligence (AI) and machine learning (ML), we’re entering a new frontier where the tools designed to help us could inadvertently create new vulnerabilities. A recent observation by the SANS Internet Storm Center highlights this emerging risk in a way that should prompt us all to pause and reflect.
The AI Risks Every Executive Leader Should be Managing
Artificial Intelligence (AI) is being strategically integrated into many organizations with the promise of numerous benefits and opportunities. However, it is crucial to recognize and address the potential risks associated with leveraging any technology, including AI. The list below highlights various risks leadership should be managing.
The Top 5 AI Issues Every CISO Should Know
For CISOs, the rapid adoption of AI presents significant security challenges. Dive deeper into the top five AI issues every CISO should know.
How to Evaluate MDR Providers in an AI-Driven World
A roundtable with expert panelists from Frost & Sullivan, Microsoft, and DeepSeas discuss how to evaluate MDR providers in an AI driven world.
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