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AlgoSec enhances security with AI-powered application discovery

27 Sep 2024

AlgoSec enhances security with AI-powered application discovery
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Related Links
  • AlgoSec recognised with established vendor designation in 2024 Gartner® Peer Insights™ voice of the customer for network automation platforms
  • AlgoSec report: Network security trends In 2023
  • Unlocking new potential in video security through AI

Global cybersecurity pioneer AlgoSec has launched its newest Security Management platform version, featuring advanced artificial intelligence (AI) technology that provides an application-centric security approach and a clearer picture of risks and their impact.

With this new release, the AlgoSec platform enables users to accurately identify the business applications running in their complex hybrid network and leverage intelligent change automation to streamline security change processes, thus improving security and agility.

Security teams

“Security professionals are overwhelmed with a barrage of alerts that provide no context between critical threats and minor issues,” said Eran Shiff, VP Product of AlgoSec.

“By mapping applications, security teams can understand their criticality, automate changes and prioritise alerts that truly matter, saving countless hours through automation.”

AI-powered application

AI-powered applications enrich a security team’s ability to detect and respond to threats in real-time

Gartner predicts that by 2027, 50 percent of critical enterprise applications will reside outside of centralised public cloud locations, underscoring the complexity that network infrastructures face. Networks are 100 times more complex than they were 10 years ago, and the pace of deployment and development at which security teams are expected to work is 100 times faster. 

AI-powered application discovery enhances a security team’s ability to detect and respond to threats in real time. An application-centric approach automates change management processes, identifies security risks and mitigates risks before they impact the network infrastructure.

AlgoSec’s AI-powered platform

“In today’s evolving cyber landscape, it’s essential that we rapidly identify and prioritise threats as they occur,” said Robert Eldridge​​​​, Security Solutions Director of Natilik.

“AlgoSec’s AI-powered platform helps us deliver proactive network visibility and risk mitigation to our clients, keeping them ahead of potential threats.”

Four pillars of AlgoSec’s update

Securing hybrid infrastructures relies on four pillars that are essential to AlgoSec’s platform update:

  • AI-driven application discovery – Advanced AI feature designed to automatically discover and identify the business applications that are running by correlating them to security changes that have been made.
  • Intelligent and automated application connectivity change – New enhancements allow security professionals to directly adjust existing Microsoft Azure firewall rules for new application connections. Additionally, there’s added support for application awareness in Check Point R80+ firewalls.
  • Reduce risk exposure and minimise attack surface – New features focus on tightening security posture and minimising potential vulnerabilities. It streamlines Microsoft Azure Firewall rule management by identifying and recommending the removal of unused rules. It reduces risk exposure by automatically generating change management tickets to eliminate overly permissive rules. Additionally, it ensures compliance with the latest ASD-ISM regulations.
  • Better visibility across complex hybrid networks – AlgoSec has enriched its capabilities to support visibility of network security devices including: NSX-T Gateway Firewall, Azure Load Balancer and Google Cloud map and traffic path (in early availability).

Discover how AI, biometrics, and analytics are transforming casino security

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Discover AlgoSec's newest AI-powered Security Management platform, offering enhanced application-centric security and streamlined change processes for better visibility and risk mitigation. Ideal for complex hybrid networks.

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