Topic
agentic ai
Technology Cropin and Google Cloud Launch OrbitAI, an Agentic AI Platform for Global Food Systems
Cropin, in partnership with Google Cloud, has launched OrbitAI, an agentic AI platform that brings autonomous decision-making to global food systems. Built on Google's AI infrastructure, OrbitAI uses specialized AI agents to provide region-specific, actionable recommendations across the food value chain, from supply chain risk assessment to crop health monitoring.
New AIBOM-Driven Framework Automates Advisory Generation for Agentic AI Cybersecurity
Researchers present a reproducible framework that automates the generation of CSAF VEX advisories for agentic AI by combining static SBOM/AIBOM artefacts with runtime telemetry, cryptographically signing them, and validating via deterministic replay. The evaluation uses approximately 10,000 component entries from synthetic workloads of 50 to 5,000 components, incorporating OSV, GitHub Advisory, KEV, and EPSS datasets.
Agentic Electronic Design Automation: Handoff Validity as Organizing Principle
A survey of 82 systems introduces handoff validity as an organizing principle for agentic electronic design automation (EDA), classifying systems into Stage-Bound, Flow-Bound, and Organization-Bound classes. The paper proposes a five-layer EDA agent communication protocol (EACP) covering discovery, messaging, tool invocation, orchestration, and security.
Defensive Misdirection Strategy Cuts Automated Attack Success on Agentic AI Systems by Two Orders of Magnitude
A new analysis from arXiv shows that conventional detect-and-block defenses against prompt-injection and jailbreak attacks on agentic AI systems can be defeated as query budgets grow. The authors propose a detect-and-misdirect strategy, with a proof-of-concept method called Contextual Misdirection via Progressive Engagement (CMPE) that reduces attacker success rate upper bounds by up to two orders of magnitude on standard benchmarks.
Deontic Policies: New Framework for Runtime Governance of Autonomous Agentic AI Systems
Autonomous agentic AI systems, powered by LLMs, create governance challenges beyond traditional access control. A new paper introduces AgenticRei, a deontic policy framework that handles obligations, dispensations, and conflict resolution at runtime, using OWL and a logic engine separate from the LLM.
LLM Agents Fail Classical Consensus Tests, But Filters Improve Reliability, Study Finds
A new study from researchers (Anand, Sribalaji C, Pappas, George J) examines whether classical resilient consensus theory applies to LLM agents in multi-agent systems. Framing LLM agreement as a Byzantine consensus game, the authors found that prompted LLM agents fail to reach agreement that is achievable in principle, even across temperatures and horizons. Wrapping agents with classical resilient consensus filters improved agreement, though the benefit depends on the underlying topology's robustness.
MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
MuZZLE is an automated agentic framework that evaluates the security of LLM-based web agents against indirect prompt injection attacks. It discovered 44 new attacks across 4 web applications, including cross-application injection and agent-tailored phishing, by adaptively generating context-aware malicious instructions based on agent execution trajectories.
Security Analysis of Long-Horizon Agentic AI Systems: Threats, Evaluation, and Framework Development
A recent arXiv paper by Almalki and Masud provides a structured analysis of security challenges in long-horizon agentic AI systems. It reviews existing threats, evaluation approaches, attack propagation mechanisms, and security frameworks, and proposes a taxonomy of threats and a framework for analyzing attack propagation to support future research.
Developers Prioritize Business Over Societal Risks in Agentic AI, Study Finds
A study of 35 industry developers reveals that in agentic AI products, developers prioritize product and business risks over downstream societal risks like job displacement. They also lack mature controls to contain agentic risks without constraining the very capabilities that make agents useful, highlighting a capability vs. risk control tension.
Formal Framework for Declarative Agentic AI Enables Rigorous Business Process Analysis
Researchers have proposed a formal framework for declarative agentic AI in business process analysis. The AGO methodology captures agents, goals, and objects using set theory and mathematical logic, building a Business Process Knowledge Base that supports structured querying, incremental updates, and automatic workflow generation.
Green SARC: Predictive Cost and Carbon Governance Framework for Agentic AI Systems
A new framework called Green SARC applies the SARC governance-by-architecture approach to predict and bound financial and environmental costs of agentic AI systems. The paper reports four policy-independent results including that an architectural gate achieves 0% over-budget incidents while soft penalties breach 91.5% of budgets. End-to-end token, USD, and carbon savings range from 47% to 55%, depending on policy settings.
TrustedARI: A New Trust-Native Infrastructure Secures Agentic AI Routing for Enterprise Deployments
TrustedARI, presented by a research team on arXiv, is the first trust-native agentic routing infrastructure for agentic AI. It addresses fundamental trust risks in agent routing, offering a 39.34% reduction in handshake overhead and verifiable billing with 28.20x faster proof generation, all without modifying service providers.
Technology Apple's Cautious AI Strategy at WWDC 2026 Signals Privacy-First Approach, Implications for Global Trade
At WWDC 2026, Apple avoided hyping agentic AI, instead focusing on useful, privacy-preserving Siri features. Its Private Cloud Compute and reliance on Google/NVIDIA infrastructure offer lessons for trade compliance and cross-border data flows.