Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Defeat Frontier AI Attacks: Charlotte AI AgentWorks Meets Falcon for IT

Frontier AI has armed adversaries with unprecedented speed, finding and exploiting vulnerabilities faster than humans can respond. To keep pace, defenders need agentic AI operating on defense. In this demo, see how a Frontier AI Exploitation Defense Agent in Charlotte AI AgentWorks identifies and prioritizes critical risk, then hands off to Falcon for IT Risk-Based Patch Management for controlled remediation, all within the CrowdStrike Falcon platform.

Distributed systems in disguise with Maxim Fateev from Temporal | Zero-Shot Learning

When most developers write code, crash recovery logic is at the bottom of their priorities, until crashes and delays force them to incorporate resiliency logic. That’s why Temporal co-founder and CTO Maxim Fateev built a system to turn code into durable execution. In his conversation with 1Password CTO Nancy Wang and VP of Engineering for Developer and AI Jeff Malnick, Maxim explains why the distributed systems thinking that shaped his work is now essential for building reliable AI agents, with a live demo of a durable agent surviving a crash.

Secrets Off Disk: How 1Password Secures Developer Workflows

Your.env file has your database password, your AWS keys, and your Stripe secret, all in plaintext, sitting on your laptop. 1Password Developer Watchtower finds it, 1Password Environments secures it, and you keep shipping. See how 1Password discovers plaintext developer credentials, imports them into an encrypted environment, and mounts a virtual protected.env, with no workflow disruption for developers and full fleet visibility for security teams.

LimaCharlie Cloud Security: CNAPP Walkthrough

A walkthrough of Cloud Security in LimaCharlie — CNAPP capability built into the SecOps Cloud Platform. Connect your cloud and SaaS providers (AWS, GCP, Azure, Okta, Google Workspace, GitHub, Cloudflare, Anthropic, and even other LimaCharlie orgs) and everything is normalized into a single security graph: identities, permissions, workloads, and data. The engine reasons over that graph to surface attack paths — evidence-backed chains an attacker could actually walk — instead of isolated checkbox findings.