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tawasolpay-risk-assistant
TawasolPay — AI-Powered Cyber Risk Assistant Takes TawasolPay...
IAM Compliance Requirements and Best Practices
IAM compliance is the practice of demonstrating that identity and access controls are not only documented but actually enforced across users, applications, infrastructure, and non-human identities. This guide explains what IAM compliance requires, which regulations matter, and how organizations...
CyberBridge: Bridging the Gap between Cybersecurity Education and Industry
This full research paper presents CyberBridge, a framework that automatically maps cybersecurity job descrip- tions to professional role profiles. As the cybersecurity landscape evolves rapidly, it is difficult for academic programs to align curricula with the competencies expected in practice...
From Signals to Behaviors: Evidence-Based Android Malware Detection
Android malware remains a persistent threat, and detecting it accurately is a long-standing open problem. Whether an app is malicious depends on what it actually does and the context in which it does it, not on the surface signals it happens to exhibit. Existing detectors instead reason about...
PackageKit Evidence-Based Exposure Assessment Tool
This script is a defensive assessment utility designed to evaluate potential exposure around PackageKit deployments using observable system evidence rather than assumptions or exploitation attempts...
CERT-In’s AI Vulnerability Blueprint: Why Indian CISOs Need Machine-Speed Risk Operations in the Post-Mythos Era
A Qualys India perspective on CERT-In 's blueprint, the post-Mythos threat landscape India faces, and why the operating model needs to change. Key Takeaways Mythos-class AI changes the vulnerability equation from CVE matching to autonomous exploit discovery, turning known, unpatched weaknesses in...
Demystifying the Mythos or Disrupting Bugonomics? from Zero-Day Asymmetry to Defender Remediation Throughput
Recent demonstrations of large language models producing candidate and confirmed vulnerabilities in production software have renewed the narrative that AI will reshape offensive and defensive security. Headlines emphasize capability; they rarely interrogate costs and incentives. This paper examin...
Hallucination As Exploit: Evidence-Carrying Multimodal Agents
Multimodal agents use screenshots, documents, and webpages to choose tool calls. When a false visual claim triggers a click, email, extraction, or transfer, hallucination becomes an authorization failure rather than an answer-quality error. We formalize this failure mode as hallucination-to-actio...
From Backup Restoration to Minimum Viable Factory Recovery: A Systematization of Ransomware Recovery in Manufacturing Systems
Ransomware recovery in critical manufacturing infrastructure is not only a backup-restoration problem. Production capability depends on coupled information-technology, operational-technology, physical-process, quality, logistics, identity, and supplier systems. After ransomware, a plant may rebui...
Toward Risk Thresholds for AI-Enabled Cyber Threats: Enhancing Decision-Making under Uncertainty with Bayesian Networks
Artificial intelligence AI is increasingly being used to augment and automate cyber operations, altering the scale, speed, and accessibility of malicious activity. These shifts raise urgent questions about when AI systems introduce unacceptable or intolerable cyber risk, and how risk thresholds...
Cybersecurity Predictions 2026: The Hype We Can Ignore (And the Risks We Can't)
As organizations plan for 2026, cybersecurity predictions are everywhere. Yet many strategies are still shaped by headlines and speculation rather than evidence. The real challenge isn't a lack of forecasts—it's identifying which predictions reflect real, emerging risks and which can safely be...
Introducing TruConfirm for Enterprise TruRisk™ Management: Automated Exposure Validation
Enterprise security leaders and their teams face an impossible challenge: drowning in thousands of critical exposures in an ever-expanding attack surface while simultaneously trying to determine which ones pose a genuine risk of exploitation in their organizational environment. Traditional CVSS...
CTEM is the New SOC: Shifting from Monitoring Alerts to Measuring Risk
Introduction: Security at a Tipping Point Security Operations Centers SOCs were built for a different era, one defined by perimeter-based thinking, known threats, and manageable alert volumes. But today’s threat landscape doesn’t play by those rules. The sheer volume of telemetry, overlapping...
What is Threat Intelligence and How It Helps to Identify Security Threats
Simply put, threat intelligence is knowledge that helps you identify security threats and make informed decisions. Threat intelligence can help you solve the following problems: How do I keep up to date on the overwhelming amount of information on security threats…including bad actors, methods,...