Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Autonomous AI agents writing and executing code at machine speed present an urgent compliance challenge for modern software organizations. As global regulations tighten, engineering leaders must establish clear governance layers over agentic workflows, external tool calls, and Model Context Protocol integrations to ensure full accountability. In this session, Mend.io experts Asaf Saar and Ben Goldberg unpack the intersection of AI compliance, software supply chain security, and enterprise risk management. Learn how to bridge the accountability gap without sacrificing development velocity.

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Intel Chat with Matt Bromiley and Chris Luft. Stories covered: Chapters: The Cybersecurity Defenders Podcast — a podcast about cybersecurity and the people that keep the internet safe. New episodes drop weekly. Subscribe wherever you listen.

Rethinking AI Guardrails: A Layered Approach to AI Infrastructure Security Are guardrails enough to secure AI models? A10's Jamison Utter and Arjoyita Roy explore why relying solely on edge filtering creates a false sense of security for modern infrastructure. Discover the necessity of a layered, architectural approach to guardrail systems. Key Takeaways.

Customers are shifting to multi-cloud security for tech velocity, unique vendor capabilities, robust risk management, business continuity, and compliance. Maximize your cloud strategy.

CrowdStrike Falcon Guardian secures AI agents where they execute, delivering runtime visibility, governance and protection through the CrowdStrike Falcon platform. Falcon Guardian continuously discovers AI agents, connects AI activity to downstream endpoint execution for prompt-to-impact visibility, helps security teams investigate threats and determine blast radius, and enables response before threats spread. It also builds on proven AI security capabilities for Shadow AI discovery, AI governance, sensitive data protection and defense against AI-specific attacks.

Securing AI Beyond the Filter Layer | A10 Networks In this second session of our AI security series, Jamison Utter and Arjoyita Roy from A10 Networks dive into the limitations of traditional guardrails and explore what it takes to secure agentic AI. Learn why basic prompt filters fall short, how external guardrails fit into your security posture, and how to govern autonomous AI agents across the entire reasoning loop effectively.

Intel Chat with Matt Bromiley and Chris Luft. Stories covered: Chapters: The Cybersecurity Defenders Podcast — a podcast about cybersecurity and the people that keep the internet safe. New episodes drop weekly. Subscribe wherever you listen.

An auditor asks you to prove that a former employee no longer has access to any workplace credentials. What do you do? With 1Password, you can pull up the Activity Log: deprovisioning timestamped, every access event recorded. The ticket is closed, and the evidence is right there. Controls aren't enough for compliance frameworks, proof is.

Why do data breaches still happen when companies are running five, 10, sometimes 15 different data security tools? In this episode of Ask SME Anything, our expert Ankur Chadda breaks down why more tools don't mean more visibility, and how Netskope One DataSec Command Center brings inline traffic, API scans, posture management, and other data security tools into a single view.