Coursera Modern Google SecOps Masterclass is Now Available
Google SecOps
Security professionals must always review and improve the ways in which they protect their companies. Innovation, ongoing development, and a mental change away from compartmentalized operations towards creating end-to-end defenses against threats are all necessary to stay ahead of the competition.
Google Autonomic Security Operations
Based on the privilege of Autonomic Security Operations framework and Continuous Detection, Continuous Response (CD/CR) methodology, Google Cloud is excited to announce the launch of the Modern SecOps (MSO) course today. The six-week, platform-agnostic education programme aims to give security professionals the most up-to-date knowledge and skills to help modernize Google SecOps.
Announcing the Modern Security Operations Course
With a primary focus on process and personnel improvement, the Modern Security Operations course offers a thorough curriculum that tackles the fundamental issues that modern Google SecOps teams must overcome. This course, which was created in partnership with ROI Training, Netenrich, and other top industry professionals, provides organizations with useful knowledge and practical experience to help them change their Security Operations Centres (SOCs).
View their catalogue here to find out more about ROI Training and its Google Cloud courses. View their case studies here to find out more about Netenrich and their approach to autonomous security operations.
Cloud Secops
Working together with Google Cloud to create this course is exciting as They believe that Autonomic Security will be the driving force behind the transformation of Security Operations Centres. Built on the ASO architecture, Netenrich Adaptive MDR “exemplifies the dedication to pioneering autonomic security solutions,” stated Netenrich CEO Raju Chekuri. “They’re bringing the concept of autonomic security to life by implementing ASO for clients as well as internally.”
Google Security Operations Center
Highlights of the course
Modernising Cyber Threat Management: Become knowledgeable about the security operations of the future as well as the changing cybersecurity scenario.
Discover the essential ideas and elements of security operations, such as incident response, triage, and detection, in SecOps 101.
The fundamentals of autonomous security operations Learn how to incorporate Site Reliability Engineering and DevOps teachings into SecOps.
CD/CR stands for Continuous Detection and Continuous Response. Use agile approaches to boost response times, minimize labour, and enhance threat management.
The Maturity Discovery Tool for Modern SecOps: Utilize the MSO Discovery tool to compare the maturity of your company to the CD/CR approach.
Modern SecOps course is designed with:
Security Operations Analysts seeking to improve their abilities in identifying and responding to threats.
Managers of Security Operations Centres who are keen to update and optimize their processes.
CISOs hoping to improve their organization’s security operations by gaining strategic insights.
Attendees of the course will have access to a multitude of useful information and tools that can be used to automate security operations, solve and overcome technological and procedural issues, and make notable gains in operational effectiveness and efficiency.
What is SecOps
Enhancing your education with Google SecOps
Security teams need fully functional, high-performing solutions that boost productivity and provide defenders more authority in the age of generative AI. A single, intelligence-driven, artificial intelligence ( AI) platform called Google SecOps makes threat identification, investigation, and response easier.
With capabilities like frontline Threat Intelligence, Gemini, Investigation Assistant, Playbook Assistant, and autonomous parsers, Their platform can help simplify Google SecOps and increase the efficiency of Security Operations Centres. Security teams may discover threats more quickly, optimize workflows, and get closer to modern SecOps with these enhanced capabilities. Here, you can investigate how using Their platform can hasten the realization of these advantages.
Secops Meaning
Security Operations at Google
Google SecOps is a cutting-edge, cloud-native security operations platform that uses AI and intelligence to strengthen security teams’ ability to thwart attacks both present and future.
Aspects
Identify dangers with assurance
Use Google’s curated detections to map the most recent threats to MITRE ATT&CK.
YARA-L makes detection authoring simple so you can create unique content.
Using applied threat intelligence, automatically surface and rank findings with comprehensive information regarding threat actors and campaigns.
Determine the entry points that an attacker may be able to exploit, then use attack surface management integration to priorities remediation.
Examine having access to insights at your disposal.
Utilize investigative views, visualizations, threat intelligence insights, and user aliasing to examine behavior in real time.
With the entire context at your disposal, including anomalous assets, domain predominance, and more, you may investigate.
Organise, assign, and prioritise tasks using the unique threat-centric case management system.
Throughout the whole TDIR workflow, switch between cases, alarms, entities, and detections with ease and a consistent experience.
React quickly and accurately
Utilise an intuitive playbook builder with extensive features and over 300 integrations to automate repetitive operations and maintain consistency in your responses.
Effortlessly cooperate with other analysts, service providers, and stakeholders on each case.
Use applied threat intelligence to put intelligence into action.
Utilize data from Mandiant, VirusTotal, and Google to automatically identify any security risks.
Utilize Mandiant’s front-line intelligence to receive early warning signals of any active breaches.
Constantly compare the abundance of Google’s threat intelligence with a year’s worth of hot data, making sure that fresh intelligence is compared to both recently ingested and older data.
Increase output by using generative AI
To search, iterate, and dive down into your data, use natural language. Gemini displays the entire mapping syntax and generates the underlying queries.
Utilise AI-generated summaries of case developments and response suggestions to conduct investigations more effectively.
Use an AI-powered, context-aware chat interface to communicate with Google SecOps.
This chat feature allows you to establish playbooks and detections.
Work at Google’s pace and scale.
Utilize sub-second search to correlate petabytes of your telemetry and obtain actionable threat intelligence.
Utilise the global reach of Google Cloud to swiftly and safely assimilate all pertinent security data.
By default, retain data for a year in order to facilitate threat hunting and retroactive IoC matching by your team and Mandiant Experts.
Reduce the effort of creating and maintaining parsers by having log files automatically parsed. This will provide your security team with the appropriate information and context.
Data Secops
Boost your team with knowledgeable assistance
Using your Google SecOps data, collaborate with Mandiant’s elite threat hunters to look for hidden attackers using cutting-edge approaches.
To improve detection, investigation, and response, Google SecOps provides a single interface across SIEM, SOAR, and threat intelligence. Gather information from security telemetry, use threat intelligence to pinpoint high-priority risks, and leverage case management, playbook automation, and teamwork to spearhead response.
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HYAS Launches Free Intelligence Feed
HYAS Infosec recently introduced the HYAS Insight Intel Feed, a complimentary feature of their threat intelligence solution HYAS Insight. This resource equips organizations with valuable information to safeguard against cyber threats. By utilizing a variety of data sources, including exclusive, private, and commercial datasets, HYAS empowers security teams to detect, mitigate, and defend against cyber threats effectively.
The HYAS Insight Intel Feed focuses on providing concentrated intelligence on specific malware families and their associated infrastructure. This enables security teams to promptly identify and respond to threats. It offers valuable information on IP addresses, domains, and other infrastructure used by threat actors. By leveraging this information, organizations can enhance their security measures and minimize risks.
The feed caters to various use cases, such as enriching intelligence for programs like SOAR, TIP, and threat intel management. It also provides real-time IOC/observables for detection and blocklisting, aids in SIEM event correlation and analysis, and improves SOC teams' triage process, incident response, and threat hunting.
HYAS is committed to safeguarding organizations and addressing intelligence challenges by detecting adversary infrastructure and abnormal communication patterns. Their solutions transform metadata into actionable threat intelligence, granting organizations visibility into potential threats and protective DNS to neutralize malware.
Read More - https://www.techdogs.com/tech-news/business-wire/hyas-launches-free-intelligence-feed
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Use Azure Firewall and Azure WAF for Better Azure Security
Azure network security will benefit from generative AI thanks to new Microsoft Copilot integrations.
Microsoft Copilot for Security
Azure is thrilled to present the Microsoft Copilot for Security standalone experience’s integrations with Azure Web Application Firewall (WAF) and Azure Firewall. So are starting here with the goal of integrating interactive, generative AI-powered features into Azure network security.
By transforming industry best practices, security data from organizations, and global threat intelligence (78 trillion or more security signals) into customized insights, Copilot enables teams to secure at the speed and scale of artificial intelligence. Organizations need to take every precaution to guard against knowledgeable and well-planned cyberattacks due to the rising expense of security breaches. They require generative AI technology, which enhances human creativity and refocuses teams on what matters, in order to see more and move more quickly.
According to a recent study
With Copilot, seasoned security analysts worked 22% faster.
They found that utilising Copilot increased their accuracy by 7% for all jobs.
Notably, 97% of respondents indicated they would like to use Copilot the next time they completed the same task.
Using Generative AI to Secure Azure Networks
Many Microsoft Azure customers utilize Azure WAF and Azure Firewall, two essential security services, to guard their network and apps from intrusions and attacks. These services include automatic patching against zero-day vulnerabilities, comprehensive Microsoft threat information for detection and defence against complex assaults, and enhanced threat prevention using default rule sets. These systems generate enormous amounts of logs, handle enormous volumes of packets, and analyse signals from several network resources.
Analysts labour for hours or even days on manual operations in order to process terabytes of data, sort through the noise, and find dangers. Apart from the volume of data, there is a severe lack of security knowledge. The lack of qualified cybersecurity personnel slows down reaction times to security events and restricts proactive posture management. It is also challenging to identify and develop cybersecurity expertise.
Copilot for Security
Organisations can now enable their analysts to triage and investigate hyperscale data sets seamlessly, finding detailed, actionable insights and solutions at machine speeds using a natural language interface that requires no additional training. This is made possible by the announcement of the Azure WAF and Azure Firewall integrations in Copilot for Security. By automating manual activities and enabling Tier 1 and Tier 2 analysts to take on work that would often be performed by more seasoned Tier 3 or Tier 4 professionals, Copilot improves team proficiency by guiding expert staff towards the most difficult problems.
In order to promptly notify leadership or other team members, Copilot may also effortlessly transform threat observations and investigations into summaries in plain English. By utilizing Copilot to summaries extensive data signals and produce valuable insights about the threat landscape, analysts may outmaneuver adversaries in minutes rather than hours or days, thanks to the increased organizational efficiency.
Copilot’s integration of Azure Web Application Firewall
These days, Azure WAF and Azure Firewall produces detections for a range of security threats against APIs and web applications. Terabytes of logs are produced by these detections, and Log Analytics absorbs them. Although the logs provide information on the Azure WAF actions, interpreting the logs and drawing conclusions from them requires a significant amount of effort and time on the part of the analyst.
Contextual examination of the data may be completed quickly by analysts thanks to Copilot for Security’s interface with Azure WAF. In particular, it creates an environment-specific summary of Azure WAF detections by combining information from Azure Diagnostics logs.
Investigating security concerns, such as examining WAF rules that have been triggered, looking into malicious IP addresses, examining SQL Injection (SQLi) and Cross-Site Scripting (XSS) assaults that WAF has thwarted, and providing explanations in plain English for each detection are among the main capabilities.
An analyst can obtain sufficient information to further analyse the issue by posing a natural language query about these attacks and receiving a summarised response that provides specifics on the attack’s cause. Furthermore, analysts may discover the managed and custom Azure WAF and Azure firewall rules that have been triggered most frequently inside their environment, as well as obtain information on the most frequently offending IP addresses and top malicious bot attacks, all with the aid of Copilot.
Forward-looking
Technology is moving into the future, and consumers will want more and more from their network security products to be AI enabled. Copilot puts businesses in a position to take full advantage of the opportunities that the generative AI era is presenting. With security, privacy, and compliance at its core, the integrations announced today bring together Microsoft’s security know-how with cutting-edge generative AI to create a solution that helps organizations better defend themselves against attackers while maintaining total privacy for their data.
Obtaining entry
Essentially excited to keep integrating Azure network security with Copilot to help customers be more productive and to be able to swiftly identify threats and patch vulnerabilities before their enemies do. Microsoft and a select few clients are already using these new features in Copilot for Security on an internal basis. currently thrilled to share the news of the impending public peek today.
Azure Firewall and Azure WAF Pricing
The Azure Firewall Manager itself is free of charge.
The WAF policies you design and the areas in which they are implemented are charged to you.
One base policy, costing $100 per region, is the minimum fee per area.
The standard insurance fee is still applicable, but child policies inside a single hub are free.
Azure WAF and Azure Firewall Release Date
On May 21, 2024, at Microsoft Build, they plan to release the Azure WAF and Azure Firewall preview to all customers. Everyone will continue to introduce new features and make enhancements in the upcoming weeks in response to your input.
To witness a demonstration of these features now, register your interest in early access, and learn about other Microsoft announcements at RSA, please visit the Copilot for Security booth at RSA 2024.
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