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LATEST SECURITY NEWS HEADLINES
NEWS & INDUSTRY UPDATES
Intel adds Hardware Shield security feature to its new 8th Gen Intel Core vPro mobile processors to protect devices against firmware attacks. [Read More]
A security configuration framework for Windows 10 unveiled by Microsoft this week defines five different levels of discrete prescriptive security configurations. [Read More]
A survey conducted by Ponemon and Tenable reveals that 90% of organizations that have OT infrastructure experienced at least one damaging cyberattack in the past two years. [Read More]
Slack launches Enterprise Key Management, an Enterprise Grid add-on feature that gives organizations total control over their encryption keys. [Read More]
Secureworks launches Orchestration and Automation solution that can help organizations better protect their systems. [Read More]
Wireshark 3.0.0 has been released and one of the most important changes is that WinPcap has been replaced with the Npcap packet sniffing library. [Read More]
Microsoft unveils two new cloud-based security technologies: Microsoft Azure Sentinel and Microsoft Threat Experts. [Read More]
Canon’s third generation of imageRUNNER ADVANCE printers introduces SIEM integration and other cybersecurity features that should help enterprises protect their systems against threats. [Read More]
Chinese telecoms giant Huawei is facing obstructions around the world over alleged cyber-security risks. [Read More]
Salt Security emerges from stealth mode with a solution designed to identify and prevent API attacks and $10 million in funding. [Read More]
FEATURES, INSIGHTS // Security Architecture
Security has evolved to the point that I can now say that collection, sensing, and alerting are yesterday’s news.
Threat intelligence is only valuable if an organization takes the necessary steps to quickly and easily apply that intelligence to actual security policy.
As NSA Chief Hacker Rob Joyce indicated during his recent talk at the Usenix Enigma conference, hackers are patient and persistent.
In security, we have grown accustomed to treating the symptoms of our problems, rather than treating the problems themselves.
Data science and machine learning models can assess large groups of cyber threats to find the subtle traits they have in common to better protect organizations.
While we must continue to use defensive technologies because they help address the level of white noise that has become part of the cost to operate in our hyper-connected, digitized world, we can’t stop there.
There are many contextual details that differentiate cyber threat information from threat intelligence. Only with the proper context can data be considered intelligence, rather than simply information.
Taking a look at security from a different vantage point that allows us to correlate activity by user, rather than by system alone gives us a very different perspective.
When vendors and individuals attempt to keep threat intelligence private, they limit the ability of the entire group to identify and mitigate new threats as they are developed and launched against organizations.
Rather than proceed step by step through the process of building and maturing a security operations function, security teams often want to move immediately into very advanced topics.
SecurityWeek Daily Briefing
- Mozilla Hardens Firefox Against Injection Attacks
- California Attorney General Outlines How State Will Enforce Upcoming Privacy Law
- Critical Flaw in Sophos Cyberoam Appliances Allows Remote Code Execution
- Why All Security Disciplines Should Use the Intelligence Cycle
- Alleged Hacker Arraigned on $1.4 Million Cryptocurrency Fraud Charges
- Majority of Simjacker Attacks Aimed at Mobile Phones in Mexico
- Thoma Bravo to Acquire Sophos for $3.9 Billion
- Compromised AWS API Key Allowed Access to Imperva Customer Data
- Amazon Calls for Government Regulation of Facial Recognition Tech
- 'Attor' Cyber-Espionage Platform Used in Attacks Aimed at Russia
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