Behavioral Analysis for Incident Response
Threats and Vulnerabilities
Can Federated Learning Stop DDoS Attacks in IoT Networks?
The rapid proliferation of connected objects has transformed modern environments into complex digital ecosystems where every appliance, from industrial sensors to kitchen gadgets, serves as a potential entry point for malicious actors.
Read More Human Factors in CyberSecurity
Stop the Silence: Building a Human-Centric Security Culture
Recognizing and rewarding employees who identify threats creates a sense of agency that is far more effective than the threat of disciplinary action.
Read More Threats and Vulnerabilities
BeyondTrust Zero-Day Exploited by State-Sponsored Group
BeyondTrust’s native secrets-management utility, bt-secrets, became a primary target for credential harvesting from both site-specific vaults and appliance-wide password safes.
Read More Incident Response and Forensics
How Can Officials Secure Government Email IDs?
If an employee discovers their password has been changed or they are automatically logged out of their system, they may be victims of a credential theft incident.
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Read More Cyberсrime and Cyber Warfare
How Does a Global Retailer Handle a Massive Digital Outage?
Unfulfilled online orders are being systematically refunded as the company focuses on a gradual and secure recovery of its multi-national digital infrastructure.
Read More Cyberсrime and Cyber Warfare
What Is the Role of Agentic AI in Modern Cybersecurity?
A major risk in agentic systems is the compounding error, where a small mistake at the start of a task leads to an entirely fabricated final conclusion.
Read More Cyberсrime and Cyber Warfare
How Can MSSPs Stop Ransomware With Proactive Threat Hunting?
Operational efficiency for Managed Security Service Providers is driven by the ability to reduce the manual labor involved in collecting and validating suspicious data artifacts.
Read More Human Factors in CyberSecurity
How Can the UK Defend Against Autonomous AI Threats?
Information regulators are currently gathering evidence on how to maintain corporate accountability when an AI system makes independent decisions involving sensitive personal data.
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