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AI-native software engineering may be closer than developers think

CIO

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. That’s what we call an AI software engineering agent.

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Case in point: taking stock of the CrowdStrike outages

CIO

Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre.

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Cybersecurity Snapshot: New Guides Offer Best Practices for Preventing Shadow AI and for Deploying Secure Software Updates

Tenable

Want to boost your software updates’ safety? Plus, learn why GenAI and data security have become top drivers of cyber strategies. And get the latest on the top “no-nos” for software security; the EU’s new cyber law; and CISOs’ communications with boards. Looking for help with shadow AI? To help prevent such episodes, U.S.

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How IT leaders use agentic AI for business workflows

CIO

An AI briefer could inform a sales pipeline review process, for instance, or an AI trainer could simulate customer interactions as part of an onboarding program, he adds. Similarly, software provider Akamai is prioritizing agentic AI where processes are already highly matured and supported by high-quality data and security controls.

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Software Composition Analysis: The New Armor for Your Cybersecurity

Speaker: Blackberry, OSS Consultants, & Revenera

Software is complex, which makes threats to the software supply chain more real every day. 64% of organizations have been impacted by a software supply chain attack and 60% of data breaches are due to unpatched software vulnerabilities. All of these stats beg the question, “Do you know what’s in your software?”

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Empower Developers to Secure AI Applications Through Code

Palo Alto Networks

We understand that every organization’s AI security needs and infrastructure are different. Palo Alto Networks wants to enable AI security in a manner that best aligns with those needs. Now, that choice is yours with AI Runtime Security. Sample code template generated for developers to embed.

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Securing Remote OT Operations:

Palo Alto Networks

However, these advancements come with heightened security risks. This expanded attack surface has made OT systems a prime target for cyber threats, underscoring the need for a robust security framework tailored to remote OT environments. However, visibility alone is not enough.

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