LoRA-Based Parameter-Efficient LLMs for Continuous Learning in Edge-Based Malware Detection

The proliferation of edge devices has created an urgent need for security solutions capable of detecting malware in real time while operating under strict computational and memory constraints. Recently, Large Language Models LLMs have demonstrated remarkable capabilities in recognizing complex...

Cybersecurity Skills in New Graduates: A Philippine Perspective

This study investigates the key skills and competencies needed by new cybersecurity graduates in the Philippines for entry-level positions. Using a descriptive cross-sectional research design, it combines analysis of job listings from Philippine online platforms with surveys of students, teachers...

An Efficient Privacy-Preserving Intrusion Detection Scheme for UAV Swarm Networks

The rapid proliferation of unmanned aerial vehicles UAVs and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they...

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection

Fuzzing is a widely used technique for detecting vulnerabilities in smart contracts, which generates transaction sequences to explore the execution paths of smart contracts. However, existing fuzzers are falling short in detecting sophisticated vulnerabilities that require specific attack...

JailbreaksOverTime: Detecting Jailbreak Attacks under Distribution Shift

Safety and security remain critical concerns in AI deployment. Despite safety training through reinforcement learning with human feedback RLHF 32, language models remain vulnerable to jailbreak attacks that bypass safety guardrails. Universal jailbreaks - prefixes that can circumvent alignment fo...

MULTI-LF: a Unified Continuous Learning Framework for Real-Time DDoS Detection in Multi-Environment Networks

Detecting Distributed Denial of Service DDoS attacks in Multi-Environment M-En networks presents significant challenges due to diverse malicious traffic patterns and the evolving nature of cyber threats. Existing AI-based detection systems struggle to adapt to new attack strategies and lack...

Challenges Drive Career Growth: Meet Rudina Tafhasaj

Starting a career for the first time in a new country can be intimidating. For Rudina Tafhasaj, her path to Senior Application Engineer at Rapid7 was paved with both unique challenges, and incredible rewards. Growing up, Rudina was inspired to get into technology by her older brother. “He loved...

A Customer Success Manager’s Journey to Cybersecurity

Originally planning to pursue a career in sports journalism, Blake Walters joined Rapid7 ready to roll up his sleeves and learn about an entirely new field—cybersecurity. Walters always had an interest in computer engineering. However, he craved the ability to connect with people and build...

The Forecast Is Flipped: How Rapid7 Is Flipping L&D for the Future of Work

The last 2 years have turned the world on its head, and now, companies across the globe are transitioning into a new normal. In this hybrid world, employee engagement is a moving target, the market is more competitive, and historical face-to-face teaching practices are no longer viable. Rapid7’s...

Addressing the Cyber Security Skills Gap, Part 1

Operating in an adversarial driven world, cyber defenders are faced with many obstacles. In effort to keep pace with our adversarial counterpart, the cyber security skills gap has become the silent oppressor. In Part 1 of this multi-part blog series we will define the implications presented by th...

Coalfire’s Adaptive Penetration Testing at Black Hat Helped Prepare Tomorrow’s Security Talent

What makes a penetration tester highly successful? Most obviously, the technical skills to hack into a network, application, or location comes to mind first, and without those capabilities and the ability to continuously learn, an aspiring pen tester has a tough road ahead of them...