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AI Events — Archive · Vol 334 Issue 1

12 articles that week

Tuesday, February 3rd, 2026: 11:00 AM to 12:00 PM ET

The Brass Ring of AppSec: Is AI Finally Making DAST to SAST Correlation Possible? (Feb. 3rd)

Vol 334 · Issue 1 · 2026-01-09

Since the dawn of application security a quarter-century ago, the discipline has been defined by the combination of two necessary but insufficient approaches to finding and fixing vulnerabilities in software: static analysis (SAST) and dynamic analysis (DAST). Almost every AppSec organization must employ some version of both tactics, as they can each help to mitigate the other's well-known drawbacks.

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The Brass Ring of AppSec: Is AI Finally Making DAST to SAST Correlation Possible? (Feb. 3rd)

Tuesday, February 3rd, 2026: 1:00 PM to 2:00 PM ET

The Compliance Paradox: Why More Rules Mean Faster Releases (Feb. 3rd)

Vol 334 · Issue 1 · 2026-01-09

As development cycles accelerate and AI becomes integral to coding, the software supply chain is now a prime attack surface. Research shows that while 95% of organizations use AI tools, only 24% fully evaluate AI-generated code for security, IP, and quality risks. Meanwhile, regulations and frameworks like NIST SSDF, ISO/IEC 27001, and the EU CRA are reshaping expectations.

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The Compliance Paradox: Why More Rules Mean Faster Releases (Feb. 3rd)

Wednesday, January 28th, 2026: 11:00 AM to 3:30 PM Thu. Jan 29th

Cloud Security Alliance (CSA) AI Summit Jan. 28-29, 2026

Vol 334 · Issue 1 · 2026-01-09

This is not just another AI conference; it's where AI meets trust, transparency, and accountability. Whether you're a security professional, AI innovator, cloud provider, or policymaker, CSA's AI Summit delivers the insights you need to stay ahead of an accelerating landscap

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Cloud Security Alliance (CSA) AI Summit Jan. 28-29, 2026

Thursday, January 22nd, 2026: 12:00 PM to 1:00 PM

Your AI Agents Have More Access Than Your Employees. No One Is Accountable (Jan 22nd)

Vol 334 · Issue 1 · 2026-01-09

AI agents are rapidly becoming the most powerful 'users' inside the enterprise. They provision infrastructure, move data, and call APIs with broader and more persistent access than human employees, yet they operate outside traditional safety nets. Unlike human access, there is currently no clear ownership, no certification process, and no accountability model for these machine identities.

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Your AI Agents Have More Access Than Your Employees. No One Is Accountable (Jan 22nd)