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Analyzing the Collision Course of DevOps, AI, and Security

Technology consolidation is constant theme transforming industries. For example, personal computers have merged with tablets and mobile phones as consumers show their interest in computing power on the go. Even applications have gotten smaller, with traditional software replaced by lightweight applications.

Logically speaking, the same is happening in the enterprise software world where DevOps, security, and artificial intelligence (AI) seem destined for their own collision course. With recent security breaches at credit firms, public and private-sector organizations know that they must explore new and different ways of defending their networks against modern threats. As expected, artificial intelligence, DevOps, and security are on a collision course.

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Where the Three Stand

As of the current moment, each of these three components have differing relationships to one another:

  • DevOps and AI are in their early stages, with machine learning driving the development process.
  • DevOps and Security have been together for some time, with organizations leveraging automation to continuously deliver security and compliance policies around data center and the cloud.

With DevOps as the common thread, it’s no secret that the security and AI will have a greater piece of the puzzle in coming years. While there are no partnerships pending, the full acceptance of DevOps means that the need for new and different ways of defending organizations against attacks is needed more than ever and a convergence will happen sooner rather than later.

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Albert Qian

Albert Qian is a Marketing Manager at Perficient for our IBM PCS, DevOps, and Enterprise Solutions Partners focused on cloud computing technologies.

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