David Irwin

2 weeks ago | securityboulevard.com | David Irwin

Model Context Protocol Decoded: What it is and How to Use itThe cybersecurity battle is constant. Attackers innovate relentlessly while defenders grapple with overwhelming alerts and siloed tools. Artificial Intelligence (AI) promises powerful features, but a lack of real-time context and integration challenges have hampered its effectiveness in security automation.

3 weeks ago | bayjournal.com | David Irwin

I really enjoyed the Jan./Feb. print edition of the Bay Journal. Among the many excellent articles were several that touched on most of the key issues affecting the health of our Chesapeake Bay. Bay Journal staff artfully present a balanced collection of articles covering conservation, key members of the Bay habitat, and the dances and pirouettes of politicians and governing bodies as they obfuscate and delay.

2 months ago | securityboulevard.com | David Irwin

What is the Vulnerability Management Lifecycle? The vulnerability management lifecycle is a structured, continuous process that helps organizations identify, assess, prioritize, remediate, and monitor security vulnerabilities. By integrating security automation and orchestration, organizations can streamline vulnerability management, reduce risk exposure, and improve overall security posture.

Nov 8, 2024 | securityboulevard.com | David Irwin

Have you ever wondered how to get the most from generative AI models built into your cybersecurity tools? While there is a lot to be said for well-trained, secure, and transparent models, the impact of effective prompt writing cannot be underestimated. Here at Swimlane, we are fortunate to have a data science team that plays around with AI models for a living.

Oct 24, 2024 | securityboulevard.com | David Irwin

What are AI Use Cases? AI use cases refer to specific applications of artificial intelligence designed to solve cybersecurity challenges or perform tasks more efficiently. These use cases range from automating cybersecurity processes to enhancing decision-making in complex security environments. AI's ability to adapt and learn makes it a critical tool for security teams, helping them operate more effectively and address the growing landscape of cyber threats.