SEC
SEC typically refers to U.S. Securities and Exchange Commission which "protects investors in the $3.8 trillion municipal securities markets that cities and towns rely on to provide neighborhood schools, local libraries and hospitals, public parks, safe drinking water and so much more". But it can also refer to the security and exchange regulation bodies of other countries.
OpenAI Launches Safety Bug Bounty Program Targeting AI Agent Vulnerabilities
OpenAI expands its security efforts with a new Safety Bug Bounty program focused on agentic risks, prompt injection attacks, and data exfiltration in AI products.
GitHub CodeQL Gets Major Speed Boost for Pull Request Security Scans
GitHub's CodeQL incremental analysis now runs up to 20% faster on pull requests across five major programming languages, with larger repos seeing biggest gains.
Oracle Launches Agentic AI Database Tools for Enterprise Data Security
Oracle unveils AI Database innovations including Private Agent Factory and Deep Data Security, targeting enterprises building production-grade AI agents without third-party data sharing.
GitHub Expands Push Protection Controls to Repository Level
GitHub now allows developers to manage secret scanning push protection exemptions directly from repository settings, bypassing organization-level configurations.
LangChain Splits AI Agents Into Two Security Classes With Fleet Update
LangSmith Fleet introduces Assistants and Claws agent types, solving a critical authorization problem for enterprise AI deployments.
NVIDIA OpenShell Brings Security Sandbox to Autonomous AI Agents
NVIDIA's new open-source OpenShell runtime creates isolated sandboxes for AI agents, partnering with Cisco, CrowdStrike, and Microsoft on enterprise security.
NVIDIA Unveils Zero-Trust Architecture for Secure AI Model Deployment
NVIDIA releases open reference architecture for confidential AI factories, enabling secure deployment of proprietary models on shared infrastructure using hardware-backed encryption.
OpenAI Drops IH-Challenge Dataset to Harden AI Against Prompt Injection Attacks
OpenAI's new IH-Challenge training dataset improves LLM instruction hierarchy by up to 15%, strengthening defenses against prompt injection and jailbreak attempts.
Harvey AI Details Zero-Access Data Architecture as Legal Tech Race Heats Up
Harvey reveals its data security framework including BYOK encryption and ephemeral processing as the $5B legal AI platform expands globally.
Bull Market Structure, Sector Rotation Rhythm, and Retail Investor Behavioral Biases: On the Phenomenon of "Gaining on the Index, Losing on the Portfolio"
"Gaining on the index while losing on one's own portfolio" is one of the most characteristic predicaments afflicting retail investors during bull markets. This essay examines the causes and countermeasures through four dimensions: the phased structure of bull markets, sector rotation rhythm, psychological biases in holding behavior, and technical criteria for sell timing. The central argument is that losses during a bull market originate not from directional misjudgment, but from ignorance of the bull market's internal rhythm and indulgence of one's own psychological weaknesses.