Best Practices

Gartner is a trusted resource and advisor to who we are and what we do at Vectra AI. We see eye to eye with Gartner on many things, but not always everything. In this report, we share where we align to Gartner and where our perspectives differ when it comes to Network Detection and Response (NDR).

Vectra CDR for AWS enables modern SOC teams to reduce risks against advanced lateral movement attacks in your hybrid cloud.

Vectra CDR for AWS strengthens exisiting investments in Amazon GuardDuty by stopping sophisticated threats and deeply empowering modern SOC teams.

The Vectra AI Platform expands coverage for threats that bypass prevention with visibility into privilege identity behaviors to relieve your SOC team from the pains of privilege account sprawl.

Reduce your exposure to critical infrastructure risk with integrated signal for your entire hybrid cloud infrastructure.

PCAP strengths primarily rely on network monitoring for on-premises environments, leaving huge gaps and vulnerabilities for bad actors to exploit.

Signatures, reputation lists and blacklists only recognize threats that have been previously seen. This means someone needs to be the first victim, and everyone hopes it's not them.

An integrated threat signal enables your SOC to move away from network traffic decryption while reliably detecting the most urgent threats.

Threat hunting is an important part of any security program. Regardless of how well-designed a security tool is, we must assume these tools and defenses are imperfect.

Learn how to quickly identify the early signals of an active ransomware attack.

Darktrace isn’t just guilty of bloated sales and marketing — it also fails to deliver on POC promises. Read the Darktrace vs Vectra brief to learn why.

A playbook for defending Critical National Infrastructure (CNI) from cyberattacks and increasing SOC productivity by >2X.

Recommendations for users of the Vectra AI platform to identify and manage the expected increase in behavioral detections related to certain remote worker conditions.

As evidenced by unprecedented cybercrime, traditional security defenses have lost their effectiveness. Threats are stealthy, acting over long periods of time, secreted within encrypted traffic or hidden in tunnels. With these increasingly sophisticated threats, security teams need quick threat visibility across their environments.

Why create and maintain your own detection rules when AI can do it for you?

With the increasing number of cyber threats your SOC team faces, ask yourself one question: can we keep pace by relying exclusively on our SIEM to detect and respond to attacks?

A Cloud Detection and Response Strategy for AWS

With nearly half of current infrastructure-as-a-service (IaaS) users running production applications on a public cloud infrastructure, organizations will increasingly look to capture the favorable business models, dynamic scaling, availability, and streamlined management that public clouds deliver.

Thanks to their open, collaborative environments and a treasure trove of high-value assets, universities and colleges have become a top target of data breaches and cyber attacks.

The healthcare industry today is one of the top targets of cyber attackers. This has been driven in large part by the digitization of healthcare delivery - IoT devices such as x-ray and MRI machines, drug infusion pumps, blood gas analyzers, medication dispensers and anesthesia machines - as well as medical information.

What is NIS2? Who should be involved and what steps can you take to achieve NIS2 compliance?

NDR goal: Empower security analysts to receive alerts quickly and be able to discern what is critical versus what is benign. It also focuses on lowering the time from compromise to incident detection and containment.

Intrusion detection systems (IDS) like Cisco Firepower (formerly Sourcefire), Trend Micro Deep Discovery, and McAfee Network Threat Behavior Analysis are all traditional technologies with deep roots in signature-based detection and protection.

When a cyberattack occurs, most aspects of the threat are not under the control of a targeted organization. These range from who is targeting them, what is the motivation, where and when the attack occurs, how well-equipped and skilled that attacker might be, and most critically, the persistence of the attacker to achieve the ultimate goal.

When done well, AI can arm your security team with more efficient and effective threat detection, however, not all AI is created equal.

Stolen IP represents a significant subsidy since the thieves don’t have to bear the costs of developing or licensing that technology or manufacturing process.

Intellectual property (IP) is the lifeblood of pharmaceutical companies. An analysis of the top 10 drug firms indicates that average R&D spend is over 20% of revenue and intangible assets.

Manufacturers have long used industrial control systems to increase the speed and efficiency of production. But these production control systems were largely kept separate from the administrative and enterprise systems.

Attackers are finding it more profitable to go straight for the money using sophisticated advanced persistent threats (APT), such as Carbanak, as well as ransomware.

Energy companies are increasingly vulnerable to cyberthreats.

When it comes to stopping high-speed hybrid attackers, integrated signal at speed and scale is the only answer.

Enforcement, as it relates to cyberattacks, are responses to attacker actions to bring an enterprise back in line with its stated security policy. Common examples of enforcement are blocking traffic to a specific IP, quarantining a device by restricting network access, reformatting a machine, or locking down account access.

The cybersecurity gap exists between the time an attacker successfully evades prevention security systems at the perimeter and the clean-up phase when an organization discovers that key assets have been stolen or destroyed.

The shift to cloud-native architectures, driven by the need for speed and agility in today's digital business landscape, has resulted in developers taking on security responsibilities, increasing the risk of introducing security issues alongside enhanced efficiency.

To meet the protections of Controlled Unclassified Information (CUI) and Covered Defense Information (CDI), federal contractors of all categories are now required to meet CMMC in order to participate in new contract pursuits, extensions, or modifications.

Vectra Match for NDR consolidates behavior-based and signature-based detection correlation

Digital Operational Resilience Act (DORA) - 10 steps Best Practices Guide for Security & Compliance Leaders to understand the EU regulation.