Vectra launches new security AI technology

Security AI company Vectra has launched a new technology capable of automating threat detection, triage and prioritisation for security operations centre (SOC) teams.

The solution, Attack Signal Intelligence, generates AI-driven detections that go beyond signatures and anomalies to involve understanding attacker behaviour.

The platform can analyse detection patterns unique to an organisation’s environment to reduce noise and highlight attack activity. Threats can be prioritised by severity and impact to enable analysts to focus on responding to critical threats.

Vectra SVP of Product Kevin Kennedy said as cyber attacks become ever more sophisticated, SOC teams are challenged to keep pace and respond to even larger attack surfaces and more evasive attacker methods.

These challenges are increasing the time spent identifying attacks, contributing to analyst burnout, he said. According to Vectra’s Global Research Study, 72% of security practitioners believe they have been breached without their knowledge.

“The unknown compromise is the single biggest security risk organisations face today. Far more complex environments with greater attack surface exposure, more evasive attacker methods and overwhelming noise are all leading to unknowns for security teams,” Kennedy said.

“To erase these unknowns, security teams need more reliable, accurate and timely intelligence across all attack entry points and attack surfaces. Vectra’s Attack Signal Intelligence is the first technology of its kind to automate threat detection, triage and prioritisation so defenders can get ahead and stay ahead of modern attacks.”

The platform has been built into all Vectra Cloud, Identity and Network Threat Detection and Response products and services, including tools for AWS, Microsoft 365 and Azure AD, and for on-premises and cloud networks.

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