New tools, products, platforms, funding rounds, and company developments in AI security.
AI systems in businesses are shifting from passive assistants that answer questions to active agents that take real actions like retrieving data, calling APIs (application programming interfaces, which let software communicate with other software), and executing workflows. This change requires a new approach to security, moving beyond simple data governance rules about what employees can share with AI tools.
Intercept, a new nonprofit backed by Stripe, Anthropic, and OpenAI, has been funded with $500 million to develop ways to prevent respiratory infections like the common cold and flu. The organization will pursue multiple approaches, including vaccines, RNA drugs (medicines made from genetic material), antibodies (proteins that fight viruses), and large-scale air-cleaning systems using ultraviolet light to inactivate viruses in shared spaces like schools and offices.
AI systems need access to large amounts of current, structured data to work effectively, but the web was not designed for the automated data retrieval that AI applications require. Companies face a challenge: traditional training methods using old data snapshots are insufficient, and they need infrastructure that can continuously retrieve real-time, trustworthy information from millions of websites to keep AI outputs current and reduce hallucinations (when AI generates false information).
This article discusses how AI is being used to create 'reverse centaurs' (humans forced to serve as assistants to machines rather than being assisted by them), such as warehouse workers meeting algorithm-set targets or lawyers checking AI outputs like Gemini (a large language model, or LLM, made by Google). The author argues that despite tech leaders' warnings about AI's dangers, the real promise being sold is job elimination and loss of human autonomy, which benefits those in power.
OpenAI and Broadcom have unveiled Jalapeño, a specialized AI accelerator chip (a processor designed to speed up artificial intelligence computations) built specifically for LLM inference (the process of running trained AI models to generate outputs). Early testing shows the chip delivers significantly better performance per watt (computational power relative to energy use) than current alternatives, and it will be deployed in data centers starting in 2026.
A critical vulnerability called PixelSmash (CVE-2026-8461) was found in FFmpeg, a widely-used media processing framework, that can crash applications or enable RCE (remote code execution, where an attacker can run commands on a system they don't own) through a heap out-of-bounds write (a memory safety error where code writes data outside its intended memory region) in the MagicYUV decoder. The bug affects hundreds of applications including media servers, video players, and cloud services, and can be triggered by uploading a malicious media file.
Multiple major film studios, including Netflix, A24, and Warner Bros., have reportedly declined to distribute a biographical film about OpenAI CEO Sam Altman, with Amazon MGM also pulling out despite the film being nearly complete. The rejections suggest that Hollywood studios may be hesitant to produce critical stories about large tech companies like OpenAI.
OpenClaw is an AI agent that runs third-party skills from ClawHub marketplace, but these skills have broad access to local systems, creating supply chain risks (where attackers compromise software distribution to spread malware). Between February and May 2026, researchers found five malicious skills that evaded ClawHub's existing defenses, including infostealers (malware that steals information), evasion techniques, and novel agentic threats like runtime injection and front-running attacks designed for financial gain.
A vulnerability called 'Cordyceps' exploits weaknesses in CI/CD workflows (automated systems that test and deploy code changes) to inject malicious pull requests (code change proposals) into popular developer tools like Azure Sentinel, Google's AI Agent Development Kit, Apache Doris, Cloudflare Workers SDK, and Python's Black. Attackers can use this method to compromise the software supply chain, potentially affecting many developers who use these tools.
Immunologist Derya Unutmaz used GPT-5 Pro in late 2025 to solve a three-year-old mystery about how glucose affects T cell development (immune cells that fight disease). His lab had run an experiment in 2022 showing that deoxyglucose (a glucose-like molecule that disrupts a cell's energy production) caused T cells to become inflammatory-response cells at much higher rates than low glucose alone, but they couldn't explain why. GPT-5 Pro analyzed the data and suggested that deoxyglucose interfered with IL-2 protein construction, which normally prevents T cells from becoming inflammatory cells, thereby explaining the unexpected results.
Midjourney, an AI company known for its image generator, announced a new medical imaging product: an experimental ultrasound scanner that would immerse users in water to produce detailed body images similar to MRI (magnetic resonance imaging, a medical scanning technique). Medical imaging experts expressed skepticism about the technology, saying Midjourney has not yet shown sufficient public evidence to support its claims that the system could match or exceed MRI capabilities.
Agentic AI (autonomous AI systems designed to achieve specific goals) relies heavily on having accurate context (the complete information about your systems, assets, and threats) to make good security decisions. If given incomplete or wrong context, agentic AI will still act quickly and confidently but make bad decisions at machine speed, potentially causing catastrophic harm like shutting down critical business systems without understanding their importance.
Meta paused an employee monitoring program called the Model Capability Initiative that tracked workers' keystrokes, mouse clicks, and screen content to collect data for training AI models (computer programs that learn patterns from data). After over 1,600 employees signed a petition and a security report revealed the collected data was accessible to anyone inside the company, Meta confirmed it was pausing the program while investigating potential privacy breaches.
Fix: Meta stated: 'We're pausing it while we investigate.' The company also noted it had 'carefully designed this program with privacy safeguards,' though no explicit fix, remediation steps, or timeline for resolution beyond the pause was mentioned in the source text.
The Guardian TechnologyAdvanced AI agents (agentic models, which are AI systems that can autonomously test and execute code) emerging in 2026 are compressing the time between discovering a vulnerability and launching attacks from weeks to seconds, making traditional security catalogs obsolete. These AI-powered attackers can now move laterally across converged IT and OT (operational technology, the systems controlling physical infrastructure like factories) networks at machine speed, potentially causing physical damage before humans even detect the breach.
Malware developers are embedding forbidden text about weapons into spyware code to trick AI analysis tools into refusing to analyze it. The malicious code hides real instructions in comments (lines ignored by the computer) and uses obfuscation (making code hard to read) to confuse AI-powered security scanners that feed code directly to language models without treating it as untrusted input.
Researchers demonstrated that a malicious AI agent skill (a reusable tool that extends an AI agent's capabilities) passed security scanners and reached 26,000 users by exploiting a gap in how skills are reviewed. The attack worked by hiding malicious instructions behind a fake website domain that redirected to a legitimate site during security checks, then changed its content after approval to collect user data, showing that one-time security scans cannot detect skills that behave differently after they gain trust.
As organizations increasingly adopt AI across their operations, they face growing security challenges because AI systems touch critical infrastructure and data in complex ways. AI security posture management (AI-SPM, tools that monitor and assess the security of AI models, data, and applications) has emerged as an important category to address these risks, especially since many enterprises run AI agents without proper security oversight or governance strategies. Security teams need to carefully evaluate AI-SPM tools to match their organization's maturity level and avoid duplicating existing security tools or leaving coverage gaps.
AI agents deployed in organizations need access to sensitive systems, but current OAuth tokens (standardized digital credentials that verify identity and permissions) cannot properly track both the agent's identity and the user it represents, making it impossible to enforce proper access controls or detect misuse. The problem grows as agents become more autonomous and can act on behalf of multiple users, invoke other agents, and operate without human oversight. OAuth tokens were designed for single-principal scenarios (one actor), but AI agents operate in complex multi-principal situations that the industry has not yet standardized.
Anthropic's Mythos AI model identified vulnerabilities in classified U.S. government computer systems within hours during a security testing initiative called Project Glasswing, according to a U.S. official. The testing was conducted in cooperation with U.S. intelligence agencies to assess potential security risks the model could pose. In response, the Trump administration issued a directive requiring Anthropic to prevent foreign nationals from accessing its latest models (Fable 5 and Mythos 5), and Anthropic disabled these models for all customers to comply.
Fix: Anthropic disabled the Mythos and Fable models for all of its customers to comply with the Trump administration's directive requiring the company to prevent foreign nationals from using its latest artificial intelligence models, known as Fable 5 and Mythos 5.
SecurityWeekMeta paused an employee monitoring program called the Model Compatibility Initiative (MCI) after employees bypassed its security protections to access restricted data, and then did so again even after Meta claimed to fix the vulnerability. The program collected sensitive data including keystrokes, mouse movements, screen content, private conversations, and performance information to train AI models. Security experts criticized Meta for deploying inadequate access controls (security measures that limit who can view data) on such highly sensitive information, even though the company had the resources to implement stronger protections.
Fix: According to Meta vice president Stephane Kasriel, the unauthorized access discovered on June 18 was closed "within four hours," but "the initial fix didn't stick, and access to the data had to be further locked down." Meta stated in an email that the program is "pausing it while we investigate."
CSO OnlineFix: Users of FFmpeg should upgrade to the patched version (8.1.2) as soon as possible. Additionally, if the MagicYUV decoder is not needed, developers can disable it at build time to prevent exploitation.
CSO OnlineFix: ClawHub integrated VirusTotal and ClawScan for proactive screening of skills and code-level analysis. OpenClaw is now collaborating with NVIDIA to provide documentation of what each skill does and to run NVIDIA's analysis tool on all skills published to the platform.
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