This white paper explains how to protect cloud data centers from cyberattacks. It looks at unique architectural and operational challenges, examines real-world attacker techniques, and proposes a framework to defend against them.
This paper examines obstacles in the fight against cyberattacks and how AI speeds-up detection and response in the SOC. AI augments the work of SOC teams to make operations more efficient and mitigates cyberthreats before damage is done.
IDS relies on signatures to stop known threats from getting into networks. But they are blind to unknown threats. Cyberattackers know this and can change a few bits of code in known malware to create an unknown threat.
Cognito AI blends human expertise with a broad set of data science and machine learning techniques. It delivers a continuous cycle of intelligence based on threat research, global/local learning models, deep learning, and neural networks.
The early detection of ransomware attacks is essential. Ransomware is becoming more prevalent and increasingly sophisticated because the criminal appetite for juicy payouts and limited risk are too big for attackers to ignore.
Covert communications are key enablers of cyberattacks, enabling cybercriminals to remotely manage and control targeted attacks while staying hidden. Attackers use covert communications for its ability to evade signatures and reputation lists.Check out the cool infographic
Signatures are great at catching large-scale commodity threats. But to stop targeted attacks, you need to jump off the signature hamster wheel and lay in wait where attackers will inevitably show up – inside your network.
Data center security mainly protects virtualized layers, prompting attackers to create and exploit backdoors in the physical infrastructure. Only the most advanced detection models can expose attacks against the physical and virtualized layers.
To explain how Vectra uses AI to automate the detection of cyberattackers and speed-up incident response, CTO Oliver Tavakoli talks about data science, machine learning techniques, deep learning and more at Infosecurity Europe.
The Cognito automated threat hunting and response platform detects hidden cyberattacker behaviors – from cloud and data center workloads to user and IoT devices – so you can stop them early and prevent theft or damage.
As the Cognito threat detection and response platform gets to know your global and local network environment using machine learning, it uses AI and data science to detect hidden cyberattacks and prioritize the highest-risk threats.
Jane Holl Lute is currently on the board of directors at the Center for Internet Security, president and CEO of SICPA North America and special advisor to the United Nations secretary general.
Vectra is the only “Visionary” in the 2018 Gartner Magic Quadrant for Intrusion Detection and Prevention Systems. We believe we are positioned as the visionary for our innovative use of machine learning and analytics that automate threat hunting, triage, correlation and prioritization, which reduces the security operations workload by up to 29x.
By Tony Palmer, Senior IT Validation Analyst | October 2017
This ESG Lab Spotlight explores the Cognito platform, which perform real-time detection and analysis of cyberattacks. The security landscape is bleak, and is only getting worse. Vectra is a promising next step toward a more secure infrastructure.