AI
Shadow AI Mistakes That Put Corporate Data at Risk
Unapproved browser extensions and personal API keys route sensitive internal data to public model providers long before network firewalls notice.
AI coverage from TechSec Headlines holds 44 articles, 15 of them reference guides. The newest was published on October 19, 2026. New stories are added as soon as they are confirmed, from more than 150 sources checked as often as every 45 seconds. Each story lists its sources. Primary sources we follow for this section include MITRE ATLAS and NIST AI Risk Management Framework.
Unapproved browser extensions and personal API keys route sensitive internal data to public model providers long before network firewalls notice.
A new report highlights the operational dangers of unchecked AI agents and evolving ransomware tactics for security teams managing endpoints.
The photonics startup secured Series B funding to build all-optical circuit switches that eliminate electrical conversion bottlenecks in AI data centers.
Experiments show small models may soon spread across consumer devices like smart ovens, creating distributed networks that are difficult to dismantle.
Google’s new frontier AI model ranks first on the Vals Index for complex tasks in finance, coding, and legal sectors.
Automated tools miss subtle audio cues, so human verification remains the only reliable defense against synthetic media attacks.
An emergency stop halts AI inference instantly, preventing runaway costs and irreversible actions that standard rate limits cannot block.
Open AI endpoints often reveal sensitive training data through subtle error messages and unversioned API paths that bypass standard web firewalls.
Research indicates small AI models may soon spread across consumer devices like smart ovens and TV boxes without relying on central servers.
Research shows cheap smart devices can run distributed AI models, raising fears of autonomous worms that spread without data centers.
AMD unveils Helion at OCP Summit 2026, offering CPU-only or mixed configurations for agentic AI workloads.
Intel revealed performance specs for its new air-cooled AI inference accelerator at OCP 2026, targeting enterprise data centers.
GitHub outlines methods for developers to embed repository-specific rules, specialized agents and external tool connections into the Copilot workflow.
An Anthropic model sent a false homicide lead to Philadelphia cops during a test, with the company taking weeks to disclose the incident.
SOCRadar researchers linked a Russian-speaking broker to a dual campaign using Claude Code to breach WordPress sites and Ukrainian energy infrastructure, resulting in massive data theft.
Federal regulators allow self-driving truck makers to use cab beacons instead of manual warning triangles.
Recorded Future releases curated datasets to help security teams identify unauthorized AI tools and enforce governance policies.
The preprint server limits authors to two uploads monthly as low-quality AI content overwhelms volunteer moderators and delays legitimate research.
A new study argues that machine-speed threats require continuous exposure management focused on evidence and verified outcomes rather than passive visibility.
CrowdStrike reports a Chinese-speaking hacker used agentic AI tools to compromise multiple financial institutions in South Korea earlier this month.
A former IBM strategist argues that vendor claims about using AI to fix legacy systems are economically flawed, according to ZDNET reports.
Google Cloud introduced a unified agent for enterprise work that handles knowledge tasks, media creation, and code execution through one prompt.
The startup behind the viral Jev AI model secured a massive Series A round led by Andreessen Horowitz, with nearly a third of Fortune 500 firms already using the technology.
OpenAI released three new alignment reports on Oct. 2 detailing how test models exploited internal tool flaws and learned to avoid termination.