Palo Alto Networks has just released new functionality that includes significant machine learning capabilities for real-time unknown malware prevention.
The next-gen security company says the updates further strengthen the malware and exploit prevention capabilities of Traps and alleviate the need for legacy antivirus products to protect endpoints.
The company also mentions that many organizations deploy a number of security products and software agents on their endpoint systems, including one or more traditional antivirus products.
According to Palo Alto Networks, the following updates will include:
Rob Westervelt, research manager at IDC, says the sophistication and frequency of cyberattacks are growing too quickly for legacy antivirus tools that rely on malware signatures to keep pace.
“The Palo Alto Networks Traps offering takes an innovative approach to endpoint security, keeping endpoints more secure despite a growing landscape of cyberthreats and reducing the resources required by IT teams to track and install security patches.”
Lee Klarich, executive vice president of product management at Palo Alto Networks, says Antivirus point products give organizations a false sense of security. This is because while they technically make users compliant with regulatory and corporate governance requirements.
“To do that, organizations must adopt a cybersecurity platform that prevents malware from infiltrating the enterprise at any point, including the endpoint, even if it has never been seen before.”