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Top Reasons for Predictive AI for Cybersecurity Enhancement

#artificialintelligence

Top investigative agencies in the United States like the FBI have reported an increase of 300% in cyberattacks since the COVID-19 outbreak. Most of these attackers use deception, which is why predictive artificial intelligence (AI) becomes essential for cybersecurity. A predictive AI model collects data, analyzes and offers recommendations that can prevent various cyber attacks. Many organizations reconsider using Artificial Intelligence due to the high initial cost and need for infrastructure. However, according to an IBM report, businesses lost $3.86 million in 2020, with a total of more than 200 days spent on finding the actual breach. In 2021, data breach costs rose from $3.86 million to $4.24 million, the highest average total cost in the 17-year history of that report.


Google fires Margaret Mitchell, another top researcher on its AI ethics team

The Guardian

Google has fired one of its top artificial intelligence researchers, Margaret Mitchell, escalating internal turmoil at the company following the departure of Timnit Gebru, another leading figure on Google's AI ethics team. Mitchell, who announced her firing on Twitter, did not immediately respond to requests for comment. In a statement to Reuters, Google said the firing followed a weeks-long investigation that found she moved electronic files outside the company. Google said Mitchell violated the company's code of conduct and security policies. Google's ethics in artificial intelligence research unit has been under scrutiny since December's dismissal of Gebru, a prominent Black researcher in Silicon Valley.


Machine learning in Palo Alto firewalls adds new protection for IoT, containers

#artificialintelligence

Palo Alto Networks has released next-generation firewall (NGFW) software that integrates machine learning to help protect enterprise traffic to and from hybrid clouds, IoT devices and the growing numbers of remote workers. The machine learning is built into the latest version of Palo Alto's firewall operating system – PAN 10.0 – to prevent real-time signatureless attacks and to quickly identify new devices – in particular IoT products – with behavior-based identification. NGFWs include traditional firewall protections like stateful packet inspection but add advanced security judgments based on application, user and content. "Security attacks are continually morphing at rapid pace and traditional signature-based security approaches cannot keep up with the millions of new devices, running a variety of operating systems and software stacks coming on the network," said Anand Oswal senior vice president and GM at Palo Alto. "IoT devices, which are growing exponentially, exacerbated that issue because they have so many of their own different agents, patches and OS's it's impossible to set security policies around them." Oswal said the ML in its new NGFW uses inline machine-learning models to identify variants of known attacks as well as many unknown cyberthreats to prevent up to 95% of zero-day malware in real time.


Fortinet Introduces Self-Learning AI for Sub-Second Threat Detection

#artificialintelligence

John Maddison, EVP of products and CMO at Fortinet "Fortinet has invested heavily in FortiGuard Labs cloud-based, AI-driven threat intelligence, allowing us to detect more threats, more quickly and more accurately. FortiAI takes the artificial intelligence knowledge from FortiGuard Labs and packages it specifically for on-premises deployments. This gives customers the power of FortiGuard Labs directly in their environment, with self-learning AI to identify, classify and investigate sophisticated threats in sub-seconds." Fortinet, a global leader in broad, integrated and automated cybersecurity solutions, announced FortiAI, a first-of-its-kind on-premises appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time consuming, manual security analyst tasks. FortiAI's Virtual Security Analyst embeds one of the industry's most mature cybersecurity artificial intelligence developed by Fortinet's FortiGuard Labs – directly into an organization's network to deliver sub-second detection of advanced threats.


Fortinet Introduces Self-Learning AI for Sub-Second Threat Detection

#artificialintelligence

John Maddison, EVP of products and CMO at Fortinet "Fortinet has invested heavily in FortiGuard Labs cloud-based, AI-driven threat intelligence, allowing us to detect more threats, more quickly and more accurately. FortiAI takes the artificial intelligence knowledge from FortiGuard Labs and packages it specifically for on-premises deployments. This gives customers the power of FortiGuard Labs directly in their environment, with self-learning AI to identify, classify and investigate sophisticated threats in sub-seconds." Fortinet, a global leader in broad, integrated and automated cybersecurity solutions, announced FortiAI, a first-of-its-kind on-premises appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time consuming, manual security analyst tasks. FortiAI's Virtual Security Analyst embeds one of the industry's most mature cybersecurity artificial intelligence developed by Fortinet's FortiGuard Labs – directly into an organization's network to deliver sub-second detection of advanced threats.


Fortinet Introduces Self Learning Artificial Intelligence Appliance For Sub Second Threat Detection

#artificialintelligence

Fortinet, a global integrated and automated cybersecurity solutions, today announced FortiAI, an appliance that leverages self-learning Deep Neural Networks (DNN) to speed threat remediation and handle time-consuming, manual security analyst tasks. FortiAI's Virtual Security AnalystÔ embeds a mature cybersecurity artificial intelligence, developed by Fortinet's FortiGuard Labs, directly into an organization's network to deliver sub-second detection of advanced threats. To address the challenges faced by security professionals today, Fortinet is unveiling FortiAI Virtual Security AnalystÔ to accelerate threat remediation. FortiAI handles many of the time consuming, manual tasks currently expected of security professionals, preserving their time for higher-value security functions. FortiAI's self-learning capabilities continue to get smarter once deployed in an organization's network.


Advanced Data Tech, Security Dominate Fed IT 2020 Outlook – MeriTalk

#artificialintelligence

The new year promises abundant potential for advancement across the broad swath of Federal government IT. Industry leaders shared their predictions for 2020 and beyond with MeriTalk, indicating the path to progress will often track uphill, and around plenty of curves. The big Federal IT issues for 2020 proper? How about multi-cloud architecture, artificial intelligence (AI) and machine learning (ML) adoption, 5G mobile and related security implications, and workforce upskilling, just to name a few. Asked to jump two years into the future and identify the biggest Federal IT areas we should have been looking at more closely in 2020, many of the broader security and infrastructure themes run in a similar vein.


Artificial intelligence is an important cybersecurity tool, but it's no silver bullet

#artificialintelligence

The recent Capgemini Research Institute report, Reinventing cybersecurity with artificial intelligence, found companies are facing ever-increasing threats and attacks. Forty-two percent of executives surveyed reported an increase in incidents through time-sensitive applications and 43% noted an increase in machine-speed attacks. Nearly one in four executives surveyed believe they will not be able to successfully investigate all identified incidents, which is concerning because cyber-analysts need to be able to track anomalies, incidents, and breaches that occur impacting an organization's brand as well as its business operations. The promises of AI and machine learning make it easy to think that they are a quick fix to this escalating threat landscape. Typically, though, companies trying to solve cybersecurity issues themselves tend to be flooded with information and alert overloads.


Protect and Audit PII data in Amazon Redshift with DataSunrise Security Amazon Web Services

#artificialintelligence

DataSunrise, in their own words: DataSunrise is a database security software company that offers a breadth of security solutions, including data masking (dynamic and static masking), activity monitoring, database firewalls, and sensitive data discovery for various databases. The goal is to protect databases against external and internal threats and vulnerabilities. Customers often choose DataSunrise Database Security because it gives them unified control and a single-user experience when protecting different database engines that run on AWS, including Amazon Redshift, Amazon Aurora, all Amazon RDS database engines, Amazon DynamoDB, and Amazon Athena, among others. DataSunrise Security Suite is a set of tools that can protect and audit PII data in Amazon Redshift. DataSunrise offers passive security with data auditing in addition to active data and database security.


Google workers can listen to your Google Assistant recordings, company admits

#artificialintelligence

Google officials have admitted that the company's workers can listen to Google Assistant users, and that one of them recently leaked confidential data. A Dutch language expert working for Google to train its speech technology leaked private information in a breach of the company's security policies, company officials said. The disclosure came after Belgian broadcaster VRT NWS reported that its reporters listened to more than 1,000 conversations recorded by the search giant's virtual assistant, including some that revealed identifiable information about the users. "As part of our work to develop speech technology for more languages, we partner with language experts around the world who understand the nuances and accents of a specific language," Google executive David Monsees wrote in a blog post posted on Thursday. These language experts review and transcribe a small set of queries to help us better understand those languages." "We just learned that one of these language reviewers has violated our data security policies by leaking confidential Dutch audio data.