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Cybersecurity Implications of AI

Securing the Agentic Development Life Cycle: Operationalizing AI Trust at Machine Speed


Course

Said Syed of Snyk for Government examines how continuous testing, agent governance and autonomous red teaming can secure the agentic development life cycle at machine speed.

AI-assisted development is producing more code at greater speed while expanding the application supply chain across models, agents, MCP servers, skills and tools. Security reviews built around periodic scanning and human-managed backlogs cannot keep pace with vulnerabilities that attackers can identify and chain automatically. Organizations need continuous, machine-speed safeguards across the agentic development life cycle without turning security into a barrier to innovation.

In this session, Said Syed of Snyk for Government will cover:

  • How secure inputs, behavioral governance, trusted outputs and continuous discovery can protect development from ideation through production;
  • Why agentic security must address automated attacks, untrusted development practices and ungoverned production applications through a unified architecture;
  • How autonomous red teaming and continuous penetration testing can identify exploitable attack chains, reduce false positives and accelerate remediation.
 

 

Here is the course outline:

Securing the Agentic Development Life Cycle: Operationalizing AI Trust at Machine Speed