Authentication

5 Ways to Connect AI Agents to Tools: From APIs to MCP

5 Ways to Connect AI Agents to Tools: From APIs to MCP

Grant Miller outlines five evolving patterns for integrating AI agents with tools, starting from simple direct API connections to complex, secure token-based architectures. The discussion highlights the progression of these methods, emphasizing how authentication, user delegation, abstraction layers like MCP, and secure credential management using vaults improve security, observability, and scalability in agentic systems.

You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekit

You Didn't Ship a Bug. You Just Wrote It for a Human. - Ravi Madabhushi, Scalekit

Ravi Madabhushi details how existing infrastructure, designed for human users, fails AI agents, leading to issues like rate limits and over-permissioning. He argues for treating agents as first-class principals with fine-grained, context-aware authorization and robust visibility to prevent non-deterministic and potentially rogue behaviors.

Perplexity Comet, agentic blabbering, and the shift-left failure

Perplexity Comet, agentic blabbering, and the shift-left failure

This episode explores the security risks of AI, including 'agentic blabbering' in AI browsers that aids phishing attacks, the ability of models like Claude Opus to resurrect vulnerabilities in legacy code, the debate on 'shift left' security practices, and new threats like AI-generated 'ephemeral malware' and the challenges of the post-authentication perimeter.

Biometrics & Security: Privacy, Deepfakes, & Cyber Threats

Biometrics & Security: Privacy, Deepfakes, & Cyber Threats

An in-depth analysis of biometric authentication, exploring how the technology works, its applications in security, and the significant privacy risks involved. The summary covers biometric templates, threats like deepfakes, and mitigation strategies such as cancellable biometrics and multi-factor authentication.

Detecting Compromise of Passkey Storage on the Cloud

Detecting Compromise of Passkey Storage on the Cloud

Mazharul Islam from the University of Wisconsin—Madison introduces CASPER, a novel deception-based framework designed to detect the misuse of passkeys stolen from cloud storage providers. CASPER uses a system of decoy secrets and passkeys to enable relying parties (websites) to identify and flag unauthorized login attempts, effectively balancing security, usability, and deployability without disrupting the user experience.

A Framework for Abusability Analysis: The Case of Passkeys in Interpersonal Threat Models

A Framework for Abusability Analysis: The Case of Passkeys in Interpersonal Threat Models

This talk introduces an "abusability analysis framework" to evaluate technologies like passkeys under interpersonal threat models, such as intimate partner violence. An analysis of 19 services revealed critical implementation flaws, including irrevocable cloned passkeys and the failure of password resets to secure accounts, which can create persistent backdoors for abusers.