Cover Image

Security Steerability is All You Need

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hazan, Itay, Habler, Idan, Bitton, Ron, Mantin, Itsik
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ASTRA: Agentic Steerability and Risk Assessment Framework
by: Hazan, Itay, et al.
Published: (2025)

Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies
by: Narajala, Vineeth Sai, et al.
Published: (2025)

Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach
by: Narajala, Vineeth Sai, et al.
Published: (2025)

Building A Secure Agentic AI Application Leveraging A2A Protocol
by: Habler, Idan, et al.
Published: (2025)

ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment
by: Cohen, Ofir, et al.
Published: (2026)

Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications
by: Cohen, Stav, et al.
Published: (2024)

ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by using OAuth-Enhanced Tool Definitions and Policy-Based Access Control
by: Bhatt, Manish, et al.
Published: (2025)

Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
by: Huang, Ken, et al.
Published: (2025)

A Jailbroken GenAI Model Can Cause Substantial Harm: GenAI-powered Applications are Vulnerable to PromptWares
by: Cohen, Stav, et al.
Published: (2024)

Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking
by: Cohen, Stav, et al.
Published: (2024)

Adversarial Hubness Detector: Detecting Hubness Poisoning in Retrieval-Augmented Generation Systems
by: Habler, Idan, et al.
Published: (2026)

From Tool Orchestration to Code Execution: A Study of MCP Design Choices
by: Felendler, Yuval, et al.
Published: (2026)

COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM Agents
by: Bhatt, Manish, et al.
Published: (2025)

Agent Capability Negotiation and Binding Protocol (ACNBP)
by: Huang, Ken, et al.
Published: (2025)

Large Empirical Case Study: Go-Explore adapted for AI Red Team Testing
by: Bhatt, Manish, et al.
Published: (2025)

Indirect Prompt Injections: Are Firewalls All You Need, or Stronger Benchmarks?
by: Bhagwatkar, Rishika, et al.
Published: (2025)

SecEncoder: Logs are All You Need in Security
by: Bulut, Muhammed Fatih, et al.
Published: (2024)

Mind the Web: The Security of Web Use Agents
by: Shapira, Avishag, et al.
Published: (2025)

MAIF: Enforcing AI Trust and Provenance with an Artifact-Centric Agentic Paradigm
by: Narajala, Vineeth Sai, et al.
Published: (2025)

Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
by: Zhong, Yinan, et al.
Published: (2025)

All You Need Is A Fuzzing Brain: An LLM-Powered System for Automated Vulnerability Detection and Patching
by: Sheng, Ze, et al.
Published: (2025)

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous
by: Nassi, Ben, et al.
Published: (2025)

Confidence Is All You Need for MI Attacks
by: Sinha, Abhishek, et al.
Published: (2023)

Breaking ReAct Agents: Foot-in-the-Door Attack Will Get You In
by: Nakash, Itay, et al.
Published: (2024)

Reformulation is All You Need: Addressing Malicious Text Features in DNNs
by: Jiang, Yi, et al.
Published: (2025)

Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
by: Antebi, Sagiv, et al.
Published: (2025)

The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
by: Litvak, Ron
Published: (2026)

What Skills Do Cyber Security Professionals Need?
by: Ullah, Faheem, et al.
Published: (2025)

Securing LLM Agents Need Intent-to-Execution Integrity
by: Qu, Wenjie, et al.
Published: (2026)

A2AS: Agentic AI Runtime Security and Self-Defense
by: Neelou, Eugene, et al.
Published: (2025)

Manifold of Failure: Behavioral Attraction Basins in Language Models
by: Munshi, Sarthak, et al.
Published: (2026)

The Defense Trilemma: Why Prompt Injection Defense Wrappers Fail?
by: Bhatt, Manish, et al.
Published: (2026)

Buffer is All You Need: Defending Federated Learning against Backdoor Attacks under Non-iids via Buffering
by: Lyu, Xingyu, et al.
Published: (2025)

Intrinsic Fingerprint of LLMs: Continue Training is NOT All You Need to Steal A Model!
by: Yoon, Do-hyeon, et al.
Published: (2025)

Hardware Design and Security Needs Attention: From Survey to Path Forward
by: Ghimire, Sujan, et al.
Published: (2025)

Text is All You Need for Vision-Language Model Jailbreaking
by: Chen, Yihang, et al.
Published: (2026)

Before You Hand Over the Wheel: Evaluating LLMs for Security Incident Analysis
by: Jajodia, Sourov, et al.
Published: (2026)

LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
by: German, Eyal, et al.
Published: (2025)

Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks
by: He, Yu, et al.
Published: (2024)

LLMs, You Can Evaluate It! Design of Multi-perspective Report Evaluation for Security Operation Centers
by: Okada, Hiroyuki, et al.
Published: (2026)