Honeyval: A Comprehensive Evaluation Framework for LLM-Powered HTTP Honeypots

Honeypots are decoy systems mimicking real system components designed to defend against cyber attacks. Recently, LLMs increasingly serve as simulation backbones for honeypots. They enable defenders to construct high-interaction honeypots with low system security risks. However, LLM-powered honeyp...

Profiling for Pennies: Unveiling the Privacy Iceberg of LLM Agents

Large Language Models LLMs have revolutionized how information are collected, aggregated, and reasoned. However, this enables a novel and accessible vector of privacy intrusion: the automated and in-depth personal profiling; this engenders a chilling effect of "peepers everywhere". Existing...

MARD: A Multi-Agent Framework for Robust Android Malware Detection

With the rapid evolution of Android applications, traditional machine learning-based detection models suffer from concept drift. Additionally, they are constrained by shallow features, lacking deep semantic understanding and interpretability of decisions. Although Large Language Models LLMs...

Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection

Automated code vulnerability detection is critical for software security, yet existing approaches face a fundamental trade-off between detection accuracy and computational cost. We propose a heterogeneous multi-agent architecture inspired by game-theoretic principles, combining cloud-based LLM...

ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation

Advanced Persistent Threats APTs pose critical challenges to modern cybersecurity due to their multi-stage and stealthy nature. While provenance-based detection approaches show promise in capturing causal attack semantics, current threat provenance practices face two paradoxical issues: 1 expert...

Top Technology Stacks for MVP Development in 2026

Top technology stacks for MVP development in 2026, best tools for fast launch, scalability, cost efficiency, and proven frameworks for startups building products...

Your 100 Billion Parameter Behemoth is a Liability

The "bigger is better" era of AI is hitting a wall. We are in an LLM bubble, characterized by ruinous inference costs and diminishing returns. The future belongs to Agentic AI powered by specialized Small Language Models SLMs. Think of it as a shift from hiring a single expensive genius to runnin...

Cybersecurity AI: A Game-Theoretic AI for Guiding Attack and Defense

AI-driven penetration testing now executes thousands of actions per hour but still lacks the strategic intuition humans apply in competitive security. To build cybersecurity superintelligence --Cybersecurity AI exceeding best human capability-such strategic intuition must be embedded into agentic...

Stop Overpaying for East-West Traffic Control: Firewalls vs. Security Groups

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2025 CWE Top 25 Most Dangerous Software Weaknesses

The Cybersecurity and Infrastructure Security Agency CISA, in collaboration with the Homeland Security Systems Engineering and Development Institute HSSEDI, operated by the MITRE Corporation, has released the 2025 Common Weakness Enumeration CWE Top 25 Most Dangerous Software Weaknesseslink is...

Small Language Models for Phishing Website Detection: Cost, Performance, and Privacy Trade-Offs

Phishing websites pose a major cybersecurity threat, exploiting unsuspecting users and causing significant financial and organisational harm. Traditional machine learning approaches for phishing detection often require extensive feature engineering, continuous retraining, and costly infrastructur...

Accelerating Secure Enterprise Kubernetes Adoption

Learn how LKE-E solves critical problems while providing streamlined adoption, operational simplicity, and cost efficiency at scale...

Phishing Detection in the Gen-AI Era: Quantized LLMs Vs Classical Models

Phishing attacks are becoming increasingly sophisticated, underscoring the need for detection systems that strike a balance between high accuracy and computational efficiency. This paper presents a comparative evaluation of traditional Machine Learning ML, Deep Learning DL, and quantized...

Modernizing Data Security: Imperva and IBM Z in Action

As data security continues to evolve, businesses require solutions that scale to modern environments. Imperva and IBM Z have partnered to deliver a comprehensive approach to securing data within IBM z/OS environments while supporting the agility, resource availability, and cost-efficiency that...

Three CISOs Share How to Run an Effective SOC

The role of the CISO keeps taking center stage as a business enabler: CISOs need to navigate the complex landscape of digital threats while fostering innovation and ensuring business continuity. Three CISOs; Troy Wilkinson, CISO at IPG; Rob Geurtsen, former Deputy CISO at Nike; and Tammy Moskites...

Four Benefits of Software as a Service (SaaS) for Cybersecurity Teams

Software as a service, or SaaS as it’s more commonly known, is more than just a license delivery model and a way for cybersecurity teams to pay for critical cybersecurity software - it has real benefits for the customer. In a SaaS distribution model, the software is hosted by the software service...

How to Optimize Your Lambda Code

Learn how to make your code run more efficiently in AWS Lambda, so you can save money and time!...

Cloud vs on premises: 3 reasons the Cloud is winning

Thanks to the vast rollout of COVID-19 vaccines to millions of people in the US and Europe, some of us are finally seeing some semblance of a return to normalcy. And organizations, who have experienced first-hand the struggle to stay afloat during months of struggle, are expecting to transition...

Manage Origin Offload and Egress Fees for Live and On-Demand

Origin offload has received more attention in the past few years as more customers have moved their origins to the cloud. As such, the cost to access data has become an important issue. To support this move, Akamai has developed Cloud Wrapper to provide customers with a way to securely connect to...

Performance Testing: Justifying Cost and Performance Improvements (Part 2)

As mentioned in the first blog in this series, Melanie, a performance engineer at VMware Carbon Black, built both baseline and investigative tests for the engineers that develop and maintain the company’s reputation services. Here’s a deeper look at these tests and how they helped the company...