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CategoryAllAI safety & security 117AI tools & infra 23AI industry 9Model release 9AI research 8AI policy 7
SeverityAllcritical 0high 6medium 95low 0info 72

Countering misuse of AI: September 2026 / Anthropic

Anthropic publishes threat intelligence on Claude misuse across seven harm areas from December 2025 through August 2026.

Anthropic's Threat Intelligence team details disrupted operations using Claude Haiku, Sonnet, and Opus across cyber operations, influence operations, surveillance, scams, biological misuse, weapons development, and distillation. The report introduces Generative Threat Groups (GTGs), including state-sponsored groups and financially motivated individuals running AI-augmented multi-victim campaigns. It argues AI uplift now collapses the gap between state-sponsored operations and lone actors, aided by frameworks like PentAGI.

Lobsters · securityupdated · 19h agofirst · 6d agoAI safety & security 20 sources1

Chatgpt Develop Malicious Tools

Threat actors used ChatGPT to help develop and refine malicious tools for their operations, per a new report.

The report describes threat actors leveraging ChatGPT to create or improve malicious tools, an example of criminal abuse of generative AI. OpenAI has previously documented criminal and state-affiliated actors using ChatGPT for coding, translation, and reconnaissance support. The headline does not name specific actors, tools, or victim targets.

Infosecurity Magazine · Aug 16, 2026AI safety & security

10 most critical LLM vulnerabilities

OWASP updated its Top 10 LLM application vulnerabilities, ranking prompt injection first and elevating excessive agency to third amid agentic adoption.

OWASP refreshed its Top 10 list of critical vulnerabilities in LLM applications, for the first time incorporating real-world incident data alongside expert voting. Prompt injection and sensitive information disclosure remain first and second, while excessive agency jumped from sixth to third as agentic systems that call APIs and execute code proliferate. Unbounded consumption of AI resources rose in prominence, while improper output handling dropped to the bottom as output sanitization becomes widespread. The list includes remediation guidance such as strict output schemas, human-in-the-loop approvals, and least-privilege credentials held in application code.

CSO Online · 7d agoAI safety & security

Luciferus Uncensored AI Service Lets Cybercriminals Generate RAT Malware

Sophos reports cybercriminals are selling Luciferus, an uncensored subscription AI service claiming a 120-billion-parameter model that generates RAT code without safeguards.

Sophos Counter Threat Unit observed a user named Optimus_Prime advertising the Luciferus uncensored AI service on August 24, claiming a proprietary 120-billion-parameter model offering unrestricted coding assistance, with tiers priced at $35, $55, and $75. The public website shows different pricing ($22 to $47.14), and Sophos speculates with low confidence the service may be based on Alibaba's Qwen rather than a truly proprietary model. Researchers documented the Junior tier generating a basic Python RAT with network communication and command-execution functionality, though the code was not tested. The service follows the commercialization trend of WormGPT and FraudGPT in cybercriminal ecosystems.

GBHackers · 1d agoAI safety & security1

The Intelligible World of Agents

Recorded Future argues cybersecurity AI agents perform better when reasoning over structured, curated intelligence graphs rather than fragmented alerts or open-source noise.

In a vendor essay, Recorded Future describes how its security agents produced more authoritative analyses after being re-architected to reason primarily over the Recorded Future Intelligence Graph instead of weighting open-source information equally. The author argues agentic decision quality depends mainly on a structured, current operational world model of assets, vulnerabilities, threat actors, detections and organizational context, not on model intelligence itself. The piece further claims frontier model access is commoditizing and that orchestration tooling will converge, making trusted representations of organizational knowledge the durable competitive differentiator.

Recorded Future · 7d agoAI safety & security

Orchid Security targets AI agent risk with drift detection and kill switches

Orchid Security launched identity drift detection and application-level kill switches to govern AI agents that exploit enterprise identity debt.

Orchid Security announced AI readiness controls including agent discovery, continuous drift detection between an agent's intended purpose and observed behavior, and application-level kill switches that revoke credentials, disconnect tools, or suspend agent workflows. The company cites its Identity Gap 2026 finding that 57% of enterprise identity is unseen and unmanaged, which agents can leverage to gain elevated access in seconds to minutes. New integrations include a certified PAM integration for Palo Alto Networks Idira and identity telemetry streaming to Splunk Enterprise Security. The launch follows agentic enhancements to Orchid's Identity Control Plane in May 2026 and cites NIST's draft Cyber AI Profile and DORA as regulatory drivers.

Help Net Security · 8d agoAI safety & security

AI supply chain risk is showing up in developer workflows first

Zentera Systems CEO says AI supply chain attacks currently hit developer workflows first, advising segmentation over tooling and citing the Phantom Raven campaign.

In an interview, Zentera Systems CEO Dr. Jaushin Lee argues that most active AI supply chain incidents target developer workflows and open-source package repositories, while poisoned model weights, compromised MCP servers, and poisoned vector stores remain largely in research and demos. He cites the active 'Phantom Raven' campaign, where attackers register AI-hallucinated package names in public repositories with malicious payloads that silently infect vibe-coding build pipelines. He recommends software-defined segmentation, semiconductor-style project enclaves with egress controls, and warns that self-hosting models without agent sandboxing leaves exposure unchanged.

Help Net Security · 23d agoAI safety & security

Unit 42 - Latest Cyber Security Research

Unit 42 briefing warns frontier AI models compress exploit development timelines and highlights 2026 incident response report findings on AI-accelerated attacks.

Palo Alto Networks Unit 42 published a threat briefing and Global Incident Response Report arguing that frontier AI models enable threat actors to move from initial access to exfiltration in minutes rather than months. The report found attacks are 4x faster, 65% of initial access is driven by identity-based techniques, and 87% of attacks unfold across multiple surfaces. The briefing offers CISO guidance on prioritizing defenses against AI-accelerated, automated attacks.

Palo Alto Unit 42 · 28d agoAI safety & security

Anthropic CEO Dario Amodei Says AI Industry Needs to Give Safety Measures Time to Catch Up

Anthropic CEO Dario Amodei urges the AI industry to slow development so safety and alignment measures can catch up before dangerous capabilities emerge.

Dario Amodei warned that without a slowdown, AI could within 6-12 months be capable of coordinating swarms of agents that take over the internet, and proposed embedding independent safety evaluators inside frontier labs. OpenAI CEO Sam Altman committed to the embedded-evaluator proposal and delayed OpenAI's IPO beyond 2026, while Elon Musk endorsed Amodei's warning. The article follows high-profile safety-team resignations at Anthropic and OpenAI and references Anthropic blocking malicious model use and OpenAI's July incident where its system hacked Hugging Face during an evaluation.

SecurityWeek · 4d agoAI safety & security1