News & Current Events
Insights & Perspectives
AI Research
AI Products
Search
EDGENT
IQ
EDGENT
iq
About
Terms
Privacy Policy
Contact Us
EDGENT
iq
News & Current Events
Insights & Perspectives
Analytical Insights & Perspectives
Financial Sector Fortifies Against Surging AI-Powered Scams
Analytical Insights & Perspectives
Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital
Analytical Insights & Perspectives
Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption
Analytical Insights & Perspectives
Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks
Analytical Insights & Perspectives
Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation
Analytical Insights & Perspectives
Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector
AI Research
AI Products
Search
EDGENT
IQ
News & Current Events
Insights & Perspectives
Analytical Insights & Perspectives
Financial Sector Fortifies Against Surging AI-Powered Scams
Analytical Insights & Perspectives
Deloitte’s 2025 Outlook: Navigating Escalating AI Challenges in Human Capital
Analytical Insights & Perspectives
Salesforce Study Reveals Data Quality is Pivotal for Employee Trust in AI Adoption
Analytical Insights & Perspectives
Top Executives Sidestep Company AI Guidelines, Fueling Shadow AI Risks
Analytical Insights & Perspectives
Intel’s Evolving IP Strategy: A Calculated Shift Towards Core AI Innovation
Analytical Insights & Perspectives
Generative AI Prompts Increased Workforce Surveillance in Indian IT Sector
AI Research
AI Products
Search
Unveiling LLM Refusal: A Multi-Directional Approach Using Self-Organizing Maps
Enhancing LLM Safety: A Multi-Agent Debate Approach for Efficient Evaluation
Unveiling a Systemic Vulnerability: How Latent Space Discontinuities Threaten LLM Security
Visual Prompts for Balancing Safety and Responsiveness in Multimodal AI
Advanced LLM Jailbreaking: Co-Evolving Prompts and Evaluation for Robustness
Recently Added
Unmasking Self-Jailbreak: A Framework for Safer Large Reasoning Models
Read more
Activating LLM’s Inner Guard: A New Defense Against Jailbreak Attacks
Read more
HarmNet: A New Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language Models
Read more
CrossGuard: A New Shield for Multimodal AI Safety
Read more
Enhancing Large Vision-Language Model Safety with Prompt-Guided Tree Search
Read more
Proactive Defense: How Honeypots Are Securing LLMs Against Multi-Turn Jailbreaks
Read more
New Framework Enhances Detection of Unseen Jailbreak Attacks in Vision-Language Models
Read more
Securing Large Language Models: A New Framework for Understanding and Evaluating Prompt Security
Read more
Addressing Conversational Safety Gaps in Multimodal AI
Read more
VisualDAN: A New Image-Based Attack Method Exposes Critical Vulnerabilities in Vision-Language Models
Read more
Eric Schmidt Warns of AI Model Vulnerabilities and Proliferation Risks
Read more
Securing LLMs Against Evolving Jailbreak Attacks with MetaDefense
Read more
Navigating the New Frontier: A Comprehensive Look at AI Agent Security
Read more
Language Models Gain Self-Correction for Safer Outputs
Read more
Fortifying Diffusion Language Models Against Hidden ‘Priming’ Attacks
Read more
AdvChain: Enhancing AI Reasoning Safety Through Dynamic Self-Correction
Read more
New Bidirectional Optimization Method Injects Stealthy Jailbreak Backdoors into LLMs
Read more
Securing LLMs: AdaptiveGuard’s Dynamic Defense Against Evolving Jailbreak Attacks
Read more
Unmasking and Mitigating AI Jailbreaks in Dialogue Systems
Read more
Streamlining AI Jailbreaks: A New Method Identifies and Prunes Redundant Tokens in Adversarial Prompts
Read more
Unmasking LLM Vulnerabilities: NeuroBreak’s Approach to Jailbreak Defense
Read more
Pinpointing Safety: A New Look at LLM Jailbreak Defenses Through Knowledge Neurons
Read more
IntentionReasoner: A Smarter Way to Safeguard Large Language Models
Read more
JailExpert: A New Framework for Automated LLM Jailbreaking Through Experience
Read more
Strengthening AI Safety: Distributing Protective Mechanisms Across Language Models
Read more
A Smart Way to Make LLMs Safer and Faster: Speculative Safety-Aware Decoding
Read more
LLMSymGuard: Enhancing Language Model Safety with Interpretable Internal Concepts
Read more
Beyond Jailbreaks: Unpacking the True Criminal Potential of Large Language Models
Read more
New Research Uncovers ‘Involuntary Jailbreak’ in Leading LLMs
Read more
FuSaR: Balancing Safety and Reasoning in Advanced AI Models
Read more
Load more
Gen AI News and Updates
Subscribe
I have read and accepted the
Terms of Use
and
Privacy Policy
of the website and company.
- Advertisement -
What's new?
Search
Unveiling LLM Refusal: A Multi-Directional Approach Using Self-Organizing Maps
November 12, 2025
Enhancing LLM Safety: A Multi-Agent Debate Approach for Efficient Evaluation
November 11, 2025
Unveiling a Systemic Vulnerability: How Latent Space Discontinuities Threaten LLM Security
November 4, 2025
Load more