Managed Detection & Cyber Incident Response Solutions
Security Risk Magnification & Scoring
Custom Event Correlation
Log Archival and Transport Services
Over 600 Use Cases Across 55 Technologies
booli’s SIEM uniquely provides correlated and ranked alerts across multiple data sources with identity attribution (users / hosts / mac / IP / email) across time. We even track users across networks, so that when doctors walk across a hospital, we will keep up with their IP changes. booli can track these identity changes over months or years with our Time Machine capability. This saves our users effort in attempting to manually stitch identity information together with events across multiple tools/sources and time.
What Our Customers Say
“Today we have manual playbooks and booli is automating these things that we are doing manually today. They are telling us the 15 things that can be done today, in three months and in six months”.
“Becauase booli.ai was born in the cloud and 100% cloud-native, we have nobody on the team dedicated to SIEM today. We no longer need to manage massive infrastructure to scale. “At one point I had four security staff members dedicated to SIEM. Now my team assists with integration points and the SOC is dedicated to […]
“It’s one thing to ingest data. It’s another to get the right logs ingested and parsed focusing on the highest value logs for immediate implementation. We initially had DNS in Phase III but it really needed to be in Phase I. booli helped us prioritize and not miss anything. AD has one thousand different types […]
“booli.ai’s security team is staffed by hardworking quality engineers who want to succeed”.
“With other managed service providers my chances of speaking with an engineer were near zero and I’d be passed from customer support to one person to another.”
“What impresses me with booli.ai is the level of direct access that I have to engineers, operations personnel, and product management – people who have been sitting in my engineering seat who take quick action to affect positive change.”
“With booli.ai’s XDR we are able to integrate 80 applications in six months. Historically I’ve never seen more than 30 done in four years.”
“A massive differentiator for us is booli.ai’s AD integration points. They helped us prioritize and not miss any critical integrations. Initially we had DNS in Phase III and it really belonged in Phase I.”
“booli.ai has been identity focused since day one. Their identity stitching provides immediate context resulting in high value quality events where historically we’ve had to reverse engineer who was behind the events. I’ve seen no other providers even talking about this.”
“Pre-booli we had 70 runbooks covering his team monitoring several consoles. We no longer need to watch and respond to 20 different alerting systems.”
“We’ve acquired six different companies, but the security organization has not grown to scale, and I cannot continue to grow the security team. booli.ai provides efficiency in a central console that we don’t need to manage, providing high quality alarms with the right context that we need to make quick decisions”.
“With a SIEM industry that is somewhat commoditized, what you bolt on now to make people’s lives easier is key. This includes adopting new sources that are constantly changing and integrating them quickly”.
“With booli I am able to scale my team to be more efficient – spending time on high quality alarms which is directly related to the soundness of booli’s program”.
Simplifying the Process
Establish the Credibility of the Data Sources
Identify the Abnormal Behavior
Calculate the Severity of the Attack
Locate all Affected Assets
Identify the Source of the Attack
- RSIEM solutions are heavy writers of data, causing challenges around planning data management and performance requirements.
- RData archival (Terabytes/Petabytes) is challenging.
- RSIEM solutions require many different data feeds. Understanding the source application logs and parsing them correctly is challenging.
- RThere is a lack of expertise in SIEM and logging aggregation.
- RLarge tool sets with many features leads to training struggles/gaps.
- REvent curation and validation is complex and time consuming.
- RThere is a lack of expertise in Automation – All Actions take too much time.
- RToolset proliferation – Too many tools being released every day – Can't keep up with change.
- RAlert fatigue – squelching challenges.
- RLarge gap in cybersecurity resources overall – high demand resources.
- RCompetitive salaries.
- REverchanging attack surface – expertise becomes obsolete quickly.