Unifying threat detection with AI

How has Vectra AI evolved its threat detection and response capabilities to address the rise of sophisticated cyber threats, particularly in the era of AI?

Vectra AI has evolved its threat detection and response capabilities by employing AI Powered Attack Signal Intelligence. Vectra AI introduced its RUX Platform to secure hybrid environments including on-prem, cloud and SaaS environments by detecting complex attack behaviours such as credential theft, zero-day exploits and MFA bypasses. Vectra AI incorporates advanced machine learning and behavioural analytics to focus on high-risk threats and help analysts detect, prioritise and respond more effectively.

Could you share specific insights into how Vectra AI’s platform uses AI and machine learning to enhance threat detection accuracy and reduce response times?

For the past 13 years, Vectra AI has invested in its proprietary AI-powered system, Attack Signal Intelligence^TM which analyses data across multiple attack surfaces such as network, identity, cloud and SaaS. Vectra AI utilises behavioural analysisby applying ML algorithms to track patterns and detect sophisticated threats without needing deep-packet inspection. Vectra AI reduces response time through real-time prioritisation and automated response and enhances threat detection accuracy by leveraging different levels of AI including AI Triage and AI Prioritisation. For example, Vectra AI focuses on cloud-specific threat detectionin Azure environments by analysing suspicious behaviour in user activity before it becomes a breach.

What role does Vectra AI see for cybersecurity in the expanding ecosystem of IoT and cloud-native applications? How are you helping organisations secure these environments?

Vectra AI acknowledges cybersecurity as a major enabler for the expansion of IoT and cloud-native application ecosystems. These environments are targeted daily by sophisticated attacks due to their distributed nature. Vectra AI secures IoT Devices by monitoring behaviours and device interactions to detect malicious activities. Vectra AI integrates with cloud-native environments such as Azure, AWS and SaaS platforms to secure applications and infrastructure. With the RUX platform, Vectra AI unifies visibility across different attack surfaces including networks, cloud and IOT devices to provide analysts with the right coverage, clarity and control against attacks and threats.

With increasing regulatory pressure and data privacy concerns, how is Vectra AI supporting organisations in meeting compliance requirements while maintaining robust cybersecurity?

Vectra AI combines advanced AI technology with compliance-specific features to support organisations in meeting compliance requirements and enhancing their cybersecurity posture. Through AI-driven monitoring to detect suspicious/unauthorised access across several environments such as network, cloud, hybrid /multi-cloud and identity, Vectra AI helps organisations protect critical data against data exfiltration and comply with privacy laws like GDPR, HIPAA and CCPA. Through the Vectra AI dashboard, Vectra AI provides detailed logs and audit reports that help organisations comply with regulatory reporting and audit requirements while showcasing their ability to detect, respond to and mitigate threats quickly.

What are some key cybersecurity challenges you foresee for organisations in 2025, and how is Vectra AI planning to address these proactively?

Major key cybersecurity challenges that we foresee are: a) expansion of attack surfaces, leading to complex hybrid attacks that analysts struggle to investigate and respond to quickly, b) AI-powered cyberattacks, as the fast evolution and use of AI present a significant threat to organisations, c) identity-based attacks, which cause many preventative tools to fail and leave organisations vulnerable against attacks, especially in hybrid and cloud environments, d)  Shortage of skills and resources, leaving organisations under-resourced with analysts burnt out and overworked, making them vulnerable to complex attacks.

Vectra AI is addressing all these challenges by continuously investing in its AI-Powered Attack Signal Intelligence and the introduction of the Respond UX Platform, which enables organisations to monitor multiple attack surfaces simultaneously and unify visibility for a stronger and clearer attack signal. Vectra AI has developed several AI Models to secure AI tools such as Co-Pilot, to counter AI-powered cyberattacks and prevent attackers from exploiting AI to infiltrate organisations. Additionally, Vectra AI monitors identity-based attacks through its Identity Detection and Response module. By unifying visibility across networks, cloud, SaaS, and integrating with EDR vendors to automate response, Vectra AI helps organisations to reduce noise and response time. This empowers under-resourced organisations and helps analysts become more efficient in their day-to-day work.