Guavus makes digital transformation a reality by combining real-time big data, advanced analytics and security intelligence

Faced with disruptive new entrants, established enterprises must digitize to compete. But digitalization engenders new risks – most particularly in the area of cyber-security. Guavus applies advanced analytics and artificial intelligence (AI) to speed the digital transformation and empower security operations centers to protect their business in this fast changing landscape.

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Guavus Security Intelligence

Advanced and Persistent Threat Discovery

Per Verizon’s Annual Data Breach Investigations Report, advanced threats have an average dwell time of 170 days before discovery. In order to effectively capture the whole lifecycle of a threat, enterprises need a platform that can take in huge quantities of data from multiple sources and tools in order to draw the connections between separate events that seem innocuous when viewed individually.  However, when these events are viewed in context, dangerous patterns and sequences become much more obvious.

Guavus enhances the security tools you already have in place to identify advanced threats by correlating identity analytics with peer group and user or entity behavioral analytics, detecting and validating network and resource threats without human intervention. Using artificial intelligence, threats are contextualized, classified and then prioritized by a custom scoring engine to determine their severity and level of risk so that Security Operations Centers (SOC) analysts can focus their threat hunting efforts on true areas of concern and put repeatable procedures in place to eliminate the threats.

Guavus combines and contextualizes incidents from multiple big data disparate sources for continuous near real-time streaming detection, capturing incidents that are often missed in batch-based technologies.
Using AI, Guavus builds a comprehensive security score leveraging behavioral modeling and stochastic anomaly detection. Kill chain incidents are prioritized based on potential impact, key users and critical assets.
Sophisticated threat hunting tools within the Security Intelligence platform allows the SOC staff to effectively hunt, validate and remediate potential threat incidents surfaced by the product. Analysts are able to self-assemble new threat hunting workflows using building blocks modules for ingestion, enrichment and analytics on a security playbook interface.
Leverage Guavus’ ability to ingest and analyze immense amounts of data to track threats and their propagation across time and space through a near real-time relational-graph view of the entire network.
Artificial intelligence enables the identification of never seen before threats, malware and infiltration techniques.

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Guavus Security Intelligence

Reduced Security Operations Centers (SOC) Costs

Enterprises are currently losing the battle to protect themselves against cyber-crime as they struggle to keep up with the thousands of security alarms they are presented with each day. There are not enough analysts or hours in the day to review each alarm, figure out which ones are truly critical and address them properly. Consequently, many vulnerabilities are missed and often escalate into real threats. Guavus’ Security Intelligence offering brings immediate value by providing AI powered threat detection capabilities to validate and prioritize true threats along with the threat hunting tools needed to track down threats effortlessly.

Guavus intelligently auto-dismisses the vast majority of false positives, saving analysts’ valuable time. Guavus also presents analysts with a comprehensive visualization of the entire network, so they do not waste precious time toggling from one security tool to another and can elevate their threat hunting efforts to focus on more complex, multi-dimensional security threats and track their evolution through the network. Through the automation of basic tasks, analysts are able to provide more comprehensive security for their enterprises without needing to hire additional staff.

Tier 1 and Tier 2 SOC analysts no longer need to understand the low-level complexities of the logs, alarms and tools generating them. Using Guavus tools, Tier 1 and Tier 2 analysts can now conduct effective threat hunts allowing them to focus on more complex attacks and the remediation of those attacks.
Security automation and orchestration framework ensures consistent and repeatable outcomes. Automate any ad hoc threat hunting or threat detection workflows.
Save analysts’ valuable time and allow them to focus on high-priority concerns.
Automate the incident triage process, with self-learning capabilities encompassing the ever-changing breadth and depth of malware, phishing, ransom ware, distributed denial of service (DDoS), and bring your own device (BYOD) risks.

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Guavus Live Ops

Guavus Proactive Ops

Network Planning & Operations

Network managers need a way to optimize their operations, become more agile, deploy new services and do it all with less.  Guavus Reflex platform uses advanced analytics to accelerate network operations by automating portions of the incident management process and increasing customer satisfaction through faster resolution of issues.

Using self-learning, predictive algorithms, Guavus anticipates which pieces of equipment will have a higher propensity to fail and rapidly identifies how many end users will be affected, allowing IT and network managers to make better informed decisions about their network. Guavus transforms network operations by reducing alarm noise by up to 90% and identifies root issues faster by drawing correlations between disparate datasets.  All of these features result in huge savings in on-going operating expenses.

Monitor your assets through geo positioning and trending in near real-time.
Automatically set thousands of baselines to detect impactful business performance anomalies in real-time using advanced machine learning. Static key performance indicators (KPIs) are rendered obsolete.
Aggregate and contextualize hundreds of disparate sources of data to rapidly identify the true source of the problem. Dramatically reduce mean time to understand (MTTU) and mean time to repair (MTTR).
Gartner estimates that 85% of performance incidents can be traced to changes. Immediately visualize the effect of changes and maintenances made to the network to remedy them as soon as possible.
Redefine your maintenance process. Use AI to compare the benefits of alternate spending strategies and to select the best one, saving time and money.
Correlate thousands of alarms using behavioral classification algorithms to identify the root issue of an incident, drastically reducing the time to understand and fix the problem. Prioritize which alarms are most critical and impact your operations and auto-dismiss the rest. Take closed-loop actions as needed.
Use telemetry and alarm data to learn from patterns of events in the past to predict and prevent future incidents. Use AI to understand patterns never seen before and predict their impact.