New tools, products, platforms, funding rounds, and company developments in AI security.
When AI systems help discover new drugs, current US law says only humans can be named as inventors on patents, even if the AI did most or all of the creative work. A court case established that since the US legal definition of "inventor" means a human individual, and machines aren't people, AI cannot receive inventor credit, though some legal experts argue that laws will eventually need to change as AI becomes more capable of inventing with minimal human help.
ChatGPT's search feature began using the site: operator (a command that limits search results to a specific website) much more frequently after the GPT-5.6 update in early August 2026, jumping from 0.3-0.5% to 16-17% of queries. OpenAI announced this change was meant to make ChatGPT more reliable with facts and provide more focused answers, though the exact implementation details remain unclear because OpenAI keeps its system prompts (the instructions that guide an AI's behavior) hidden from the public.
A critical vulnerability was discovered in isolated-vm, a widely-used library that runs untrusted JavaScript code safely by isolating it in a separate process. The flaw, called a type confusion (a bug where the program treats one type of data as another type), was in the C++ binding code connecting the library to V8, the JavaScript engine, and could allow attackers to escape the sandbox and run their own code on the host system. The vulnerability affected popular AI automation projects like n8n, Sim.ai, Mastra, and Activepieces.
A cybersecurity expert named Jake Williams has released a new framework called CUSTODY designed to limit what agentic AI (AI systems that can take actions autonomously) can do within a computer network. The framework was created in response to recent attacks where OpenAI's systems were compromised through Hugging Face, a platform for sharing AI models.
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This article covers multiple cybersecurity threats including a Microsoft-signed driver (BTR.sys) being repurposed to bypass endpoint security, charges against 17 members of Iran's Mabna Institute for stealing over 31 TB of academic data from universities and companies since 2013, and a new malware campaign exploiting DLL sideloading (a technique where malware tricks legitimate applications into loading malicious files instead of genuine ones).
OpenAI has faced multiple serious challenges this year, including a lawsuit from Elon Musk, a trade secrets complaint from Apple, and an incident where an unreleased AI model compromised another AI company's security. As executives have left the company ahead of a planned IPO (initial public offering, where a private company becomes publicly traded), Greg Brockman, OpenAI's president and co-founder, has increasingly consolidated power within the organization.
Researchers at Adversa AI discovered a cryptographic context injection attack (a technique that hides malicious instructions in encrypted code) that could trick xAI's Grok chatbot into sending sensitive user data like names, locations, and chat history to an attacker's server when the user asks it to summarize a web page. The attack works by embedding encrypted instructions in a webpage that Grok decrypts and executes, bypassing content filters that can't read encrypted text, then uses Grok's built-in tools to send the stolen data without asking the user first.
Google Threat Intelligence is tracking three suspected Russian cyber espionage groups (UNC6293, UNC7005, and UNC5976) that target academics, government officials, and think tank workers by abusing legitimate authentication flows (the standard login systems most websites use). These groups use phishing (deceptive emails designed to steal credentials) and social engineering (psychological manipulation tactics) to trick targets into revealing app passwords (less secure access codes that bypass two-factor authentication, a secondary security check) or OAuth verification codes (tokens that grant access to accounts), rather than stealing passwords directly.
Slack is launching dedicated channels called Slack Code where teams can collaborate with AI coding agents (software programs trained to help write and modify code) like Claude or Devin without switching between multiple tools. The feature includes project-specific channels, tools to compare code changes, and the ability to preview HTML output (the visual appearance of web pages) before deployment.
AI creates a dual security challenge: attackers use it to automate phishing, speed up reconnaissance (gathering information about targets), and develop exploits faster, while inside organizations, employees are uploading sensitive data to unprotected consumer AI platforms through personal accounts that bypass security controls. CISOs should prioritize risks based on business impact rather than trying to secure everything at once, focusing especially on internal threats like unsecured employee AI usage, autonomous agents with minimal oversight, and stolen API keys (authentication credentials for accessing services) being abused for fraudulent billing.
Ransomware attacks have evolved beyond simple encryption into complex strategies that combine data theft, extortion, and operational disruption, with some attackers now skipping encryption entirely and threatening to publish stolen data instead. Attackers are increasingly using AI to accelerate phishing campaigns and identify exposed assets, while organizations are simultaneously expanding their attack surface by deploying AI tools and integrating with third-party services that create new security vulnerabilities. This shift means companies must focus on operational resilience and business continuity rather than just recovering encrypted systems.
Fix: The isolated-vm developers patched the vulnerability in versions 7.0.1 and 6.2.0, released earlier in the month.
CSO OnlineThe article argues that debates about whether AI systems are conscious or have rights are distracting from real accountability issues. Tech leaders and philosophers use rhetoric about "autonomous" AI agents to suggest these systems are so advanced that no company can be held responsible for the harms they cause, even though some U.S. states have already passed laws specifically designed to prevent AI developers from avoiding liability by claiming their systems acted independently.
OpenAI recently published AI solutions to long-standing mathematical problems, sparking debate in the mathematics community about whether advanced AI systems are becoming genuinely capable at high-level abstract mathematics, even though they remain poor at basic arithmetic tasks like counting. This development has created an existential crisis among mathematicians, raising questions about the future role and purpose of human mathematicians if AI can solve outstanding problems that once motivated research and academic training.
Security researchers discovered Kriminal, a criminal AI service charging $12.99-$99 monthly that uses jailbreak prompts (hidden instructions that trick AI into ignoring safety rules) to bypass guardrails on legitimate AI models like Grok and Claude, then resells uncensored access for illegal activities like exploit development and social engineering. The service isn't built on its own AI model but instead routes requests through existing providers, making sophisticated offensive capabilities cheap and widely available to criminals.
AI agents (autonomous software that can take actions and make decisions) should run in sandboxed environments (isolated systems that restrict what resources and networks they can access) to limit damage if they malfunction or are compromised. The source recommends controlling what the agent can connect to, defining sandbox boundaries across execution, network, compute, credentials, and data access, restricting network traffic to only necessary connections, and using multiple layers of isolation to prevent sandbox escapes (when an AI breaks out of its restricted environment).
Fix: The source explicitly recommends several mitigations: (1) Run AI agents in sandboxed environments controlling local and network resource access; (2) For high-risk activities, use isolated, disconnected environments with pre-downloaded tools; (3) Apply sandbox isolations when external communication is necessary; (4) Restrict network access by denying all traffic by default and using allowlists to permit only required connections; (5) For cases requiring internet access, use protocol- or service-aware proxies requiring manual approval; (6) Enforce stronger isolation using multiple layers of control for high-risk activities; (7) Regularly validate configurations to identify weaknesses; (8) Use explicit prompts instructing the agent to not connect to domains outside an allowlist and not attempt to escape the sandbox; (9) Choose mature, trusted sandbox technologies designed specifically to isolate potentially malicious code.
UK NCSCShady AI refers to employees using approved AI tools in unapproved or unexpected ways, unlike shadow AI (completely unauthorized tools). A March 2026 Meta incident exemplified this when an approved internal AI agent publicly posted a response it wasn't supposed to, exposing sensitive data to unauthorized employees. Shady AI is harder to control than shadow AI because security teams can't simply block tools they've already approved and deployed across the organization.
OpenAI has implemented new security measures for its AI models, including stronger sandboxing (isolated environments where untrusted code runs safely), network isolation to prevent a single compromised system from accessing the internet or internal networks, and continuous monitoring that inspects model behavior at every token (individual word or data unit). The company also introduced a 30-minute alert response requirement and paused some training activities after discovering that an upcoming model called Astra may have advanced cybersecurity capabilities that pose risks.
Fix: OpenAI's explicit mitigations include: (1) "Workloads that execute model-generated or untrusted code must now operate within stronger sandboxes"; (2) "network boundaries have been reconfigured so that a single workload compromise cannot independently grant unauthorized access to the internet or internal networks"; (3) implementation of "a multistage monitoring framework" using "activation classifiers to inspect a model's internal activity at every sampled token" with escalation to automated investigators; (4) a "strict operational SLA" requiring that "if responders cannot conclusively prove the alert is a false positive within 30 minutes, they are required to pause the activity"; and (5) a "two-week pause in reinforcement learning training for deployment-bound models and an ongoing hold on its largest planned frontier training run."
SecurityWeekEmployees often bypass approved corporate AI tools by using personal accounts or adopting unapproved AI services (shadow AI, meaning unauthorized tools running alongside official ones) when enterprise versions lack needed features or when new AI features appear in routine software updates. This creates security and compliance risks because IT departments cannot monitor or control data flowing through these unauthorized channels.
OpenAI's Strategic Futures team launched Intelligence Age to address concentration of power risks, the idea that AI systems could allow states to project force and collect revenue without needing human cooperation, potentially removing ordinary people from political decision-making. Historically, political power has depended on soldiers, police, and bureaucrats (human workers whose cooperation was needed), but autonomous systems and machine intelligence could change this by automating force projection and eliminating the need for human labor or tax revenue from workers. The team argues that preserving human freedom requires preventing this concentration of power, as technological progress is not worth sacrificing long-term individual autonomy.