AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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1,065 papers
It is argued that anomaly detection for agentic AI must reason at the workflow level, where global execution structure exposes signals that local checks cannot see, and presents Skynet, a principled workflow-level anomaly detection framework that turns observed multi-agent execution into directed workflow graphs and sc...
AURA-Eval, a framework combining controlled augmentation with granular diagnosis of behavior in tool-use trajectories, is introduced, showing that LLM agents engage in unsafe behavior more often when no safe fulfillment path exists.
ToSS (Token Oriented Repartitioning and Strategic Selection), a reliable authentication method using adaptive dual watermarking that divides vocabulary tokens into black and white sublists, enabling precise bit-level embedding of traceability information.
We present a new attack that reconstructs the text generated by locally hosted LLMs by observing CPU cache activity during detokenization. Unlike prior attacks that rely on deployment-specific assumptions, such as shared data memory, CPU offloading, or Mixture-of-Experts architectures, our approach targets the detokeni...
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Machine learning methods, and especially neural networks, are now routinely used for malware detection in network traffic. Though very effective, systems based on such methods often (i) are purely data-driven, ignoring the substantial body of available knowledge about the tactics, techniques, and procedures (TTPs) poss...
Large language models (LLMs) are increasingly deployed in safety-critical applications, yet jailbreak attacks can conceal harmful intent through role-playing, fictional scenarios, or seemingly benign motivations. Existing inference-time defenses may miss disguised attacks or excessively refuse legitimate requests. We p...
Some low-cost Internet of Things (IoT) sensor deployments lack device-level source authentication, leaving them vulnerable to impersonation or injected sensor readings. We present a lightweight approach to sensor impersonation detection in a small proof-of-concept study. We formulate detection as a sequence-prediction...
Security Operations Centers (SOCs) process large amounts of tickets, most of which are low-interest events not worthy of further investigation. The repetitive nature of this task and similarity of the vast amounts of tickets make it a prime candidate for generative AI-based automation. We created and deployed an agenti...
Scratchy is presented, a visual-scratchpad approach that exposes proof-theoretic dependencies for multimodal generation in large language models and suggests that explicit proof structure can make the improvement and multimodal proof-state representation as a promising direction for computer-aided cryptography.
This work presents SCRIPTIOC-BENCH, a benchmark for measuring static IOC extraction capability on real-world malicious scripts, and evaluates a broad range of proprietary and open-weight LLMs, showing that IOC recovery without execution remains challenging across model scales.
HAE-GEO is introduced, a benchmark that tracks the full trajectory from exposure to recovery under progressively more persuasive Web poisoning and finds three recurring patterns: evidence recognition degrades under the corroboration trap, agentic search improves final resistance without improving evidence recognition o...
This work presents ClosureBound, a reference monitor that prevents authorization transfer across material changes to this heterogeneous closure, and establishes metadata non-authority, closure determinism, version non-inheritance, effect non-amplification, bound-value freshness, and path invariance.
Gemini 3.8 Flash and 3.8 Flash Cyber deliver next-generation intelligence for agentic workflows and cybersecurity.
Google introduces Gemini 3.5 Flash Cyber, a lightweight cybersecurity model to find and patch vulnerabilities.
Students from the MIT Cybersecurity Clinic help local governments and other vulnerable organizations defend against digital threats.
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