Urgent.News

What's breaking now, across thousands of outlets.

AI

Cybersecurity gets its own model family as defenders look to close the AI gap

Frontier AI has reset the balance of power in security, and so far the advantage has run one way. Attackers can pick up general-purpose models at will, even though no one built them for defenders, pushing the industry toward purpose-built systems trained on security data rather than the open web. That shift is now taking […] The post Cybersecurity gets its own model family as defenders look to…

Cybersecurity gets its own model family as defenders look to close the AI gap

Cybersecurity is receiving its own model family as defenders strive to close the AI gap. Attackers have been leveraging general-purpose frontier AI models, which were not specifically designed for security purposes, giving them an advantage. In response, CrowdStrike and Nvidia have launched SafeMind, a defensive and offensive model family tailored for security operations.

Daniel Bernard, CrowdStrike's chief business officer, emphasized that while frontier models have benefited adversaries, it's time for defenders to have specialized AI models. Nvidia has partnered with CrowdStrike, applying the approach internally and providing the digital twin environment for the models to analyze. Bernard and Justin Boitano, Nvidia's vice president and general manager of enterprise computing, discussed the performance of SafeMind, which showed a 29% higher detection rate, six times faster remediation, and 99% lower cost compared to leading frontier and open-source models.

The models are integrated with Nvidia's Falcon platform, and the harness for automating security operations is sold separately. Bernard stressed the importance of having the right protection, systems, people, and processes to combat AI-driven threats.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at siliconangle.com →

More in AI

Stop drawing the graph: reactive agents over versioned artifacts

Stop drawing the graph: reactive agents over versioned artifacts Most agent frameworks make you draw the graph : connect nodes, wire memory, declare control flow.

  • Agents react to versioned artifacts instead of drawing graphs
  • ctxloom framework demonstrates this approach and is open source
  • Knowledge questions are transformed into connected artifacts chain

O que são agentes de IA?

Definição Um agente de IA é um sistema inteligente capaz de realizar ações de forma autônoma a partir da análise do seu ambiente, ou seja, do contexto em que está inserido.

  • Agentes de IA são sistemas inteligentes que agem de forma autônoma.
  • Eles percebem situações, decidem ações e executam-as sozinhos.
  • O ciclo de três etapas (percepção, raciocínio, ação) permite que eles atinjam objetivos.

More from Tuesday 1 September →