Jump to content

Vectra AI: Difference between revisions

Edit links
From Wikipedia, the free encyclopedia
Browse history interactively
← Previous edit
Content deleted Content added
VisualWikitext
No edit summary
→Further reading: Remove paid market research / marketing.
 
(39 intermediate revisions by 19 users not shown)
Line 1: Line 1:
{{Short description|AI cyber security company}}
{{Sources exist|date=April 2023}}
{{Primary sources|date=October 2023}}
{{Infobox company
{{Infobox company
| name = Vectra AI
| name = Vectra AI
| logo = Vectra ai logo.png
| logo = Vectra ai logo.png
| image =
⚫
| former_name = Vectra Networks
| image_caption = Vectra AI's office in San Jose, California
⚫
| former_name = TraceVector <br />Vectra Networks
| type = Privately held
| type = Privately held
| industry = [[Information security|Information Security]]
| industry = [[Cybersecurity]]<br />[[Network security]]<br />[[Cloud security]]
| founded = {{start date and age|2011}} (incorporated)
| founded = {{start date and age|2012}}
| founders = Mark Abene, James Harlacher, Marc Rogers, Ivan Wick{{citation needed|date=December 2021}}
| founders = Mark Abene, James Harlacher, Marc Rogers, Steven Lutz
| hq_location_city = [[San Jose, California|San Jose]], [[California]]
| hq_location_city = [[San Jose, California|San Jose]], [[California]]
| hq_location_country = [[United States|U.S.]]
| hq_location_country = [[United States|U.S.]]
| num_locations = 11 offices; 3 Security Operations Centers (2023)
| num_locations = 11 offices; 3 Security Operations Centers (2023)
| area_served = North America, Europe, Middle East, Africa, Australia/New Zealand, Japan and Asia-Pacific
| area_served = North America, Europe, Middle East, Africa, Australia/New Zealand, Japan and Asia-Pacific
| key_people = Hitesh Sheth (CEO)
| key_people = Hitesh Sheth (CEO) <br />Willem Hendrickx (CRO)<br />Oliver Tavakoli (CTO)
⚫
| products = Vectra AI [[Cybersecurity]] Platform (formerly Cognito Platform), Vectra Detect, Vectra Recall, Vectra Stream
Scott Dussault (CFO)
Willem Hendrickx (CRO)
Oliver Tavakoli (CTO)
⚫
| products = Vectra AI Platform (formerly Cognito Platform), Vectra Detect, Vectra Recall, Vectra Stream
| services = MDR ([[Managed security service]])
| services = MDR ([[Managed security service]])
| num_employees = 580
| website = {{URL|https://www.vectra.ai}}
| website = {{URL|https://www.vectra.ai}}
}}
}}
'''Vectra AI, Inc.''' is a cybersecurity company specializing in [[Artificial intelligence|AI]] applied to network detection and response (NDR) solutions. Established in 2012, Vectra AI operates from its headquarters in [[San Jose, California]].
'''Vectra AI, Inc.''' is a cybersecurity company that uses [[Artificial intelligence|AI]] for hybrid attack detection, investigation, and response (NDR) solutions.<ref>{{Cite web |last=Raynel |first=Tom |title=Vectra AI unveils enhanced Cloud Detection Response for AWS |url=https://securitybrief.asia/story/vectra-ai-unveils-enhanced-cloud-detection-response-for-aws |access-date=2023-12-21 |website=SecurityBrief Asia |language=en}}</ref> The company was established in 2012 and operates in 113 countries from its [[San Jose, California]] headquarters.


== History ==
== History ==
Vectra AI, formerly known as TraceVector, was founded in 2008 by a group of 4 cybersecurity professionals. Its mission was to offer security professionals an automated [[intrusion detection system]] that could address the escalating and sophisticated [[Cyberattack|cyber-attacks]] which had increased dramatically in recent years.<ref>{{Cite web |title=Archive of TraceVector's website |url=http://www.tracevector.com/ |access-date=2023-11-29 |archive-date=2010-05-25 |archive-url=https://web.archive.org/web/20100525082748/http://www.tracevector.com/ |url-status=bot: unknown }}</ref>


In March 2015, Vectra launched the S-series sensor,<ref>{{Cite web |title=Vectra Networks ships a new sensor for its attack-detection gear |url=https://www.networkworld.com/article/2903056/vectra-networks-ships-a-new-sensor-for-its-attack-detection-gear.html |website=Network World|date=27 March 2015 }}</ref> announced record bookings growth of nearly 400 percent in 2015 over 2014 and expanded its business into [[Europe, the Middle East and Africa|EMEA]].<ref>{{Cite web |title=Vectra Networks Expands into EMEA |url=https://www.vectra.ai/news/vectra-networks-expands-into-emea |website=Vectra Networks website}}</ref>
Vectra AI was founded in 2010 as TraceVector LLC in New York City and was incorporated in 2011 under the name Vectra Networks.<ref>{{cite web |title=Contact Vectra |url=https://www.vectra.ai/about/contact |access-date=16 April 2018 |website=Vectra}}</ref> The company changed its name to Vectra AI in 2018.


On January 25, 2022, Vectra AI completed the acquisition of Siriux, a network management software company.<ref>{{Cite web |title=Vectra AI snaps up identity and SaaS posture management startup Siriux |url=https://www.ingen.io/all-news/vectra-ai-snaps-up-identity-and-saas-posture-management-startup-siriux |access-date=2024-09-06 |website=Ingenio |language=en-US}}</ref><ref>{{Cite web |last=Kobialka |first=Dan |date=2022-01-26 |title=Vectra Acquires Identity, SaaS Threat Management Company Siriux - |url=https://www.msspalert.com/post/vectra-acquires-identity-saas-threat-management-company-siriux |access-date=2024-09-06 |website=MSSP Alert |language=en}}</ref>
In April 2021, Vectra raised $130 million.<ref>{{Cite web |url=https://techcrunch.com/2021/04/29/vectra-ai-picks-up-130m-at-a-1-2b-valuation-for-its-network-approach-to-threat-detection-and-response/ |title=Vectra AI picks up $130M at a $1.2B valuation for its network approach to threat detection and response |first=Ingrid |last=Lunden |date=April 29, 2021}}</ref>
[[File:Vectra-Networks-Logo.jpg|alt=Vectra Networks Logo|thumb|Former Vectra Networks Logo before rebranding to Vectra AI]]


In 2023, the company partnered with [[Curtiss-Wright]]’s Defense Solutions Division to support cyber stacks used in National Security operations.<ref>{{Cite web |last=Magazine |first=EP&T |date=2023-09-23 |title=Curtiss-Wright Collaborates with Vectra AI |url=https://www.ept.ca/2023/09/curtiss-wright-collaborates-with-vectra-ai/ |access-date=2024-01-10 |website=Electronic Products & Technology |language=en-US}}</ref><ref>{{Cite web |last=Blinde |first=Loren |date=2023-09-13 |title=Curtiss-Wright collaborates with Vectra AI |url=https://intelligencecommunitynews.com/curtiss-wright-collaborates-with-vectra-ai/ |access-date=2024-01-10 |website=Intelligence Community News |language=en-US}}</ref>
⚫
== Product ==
Vectra AI employs a unique array of artificial intelligence techniques<ref>{{Cite web |title=The data science behind Vectra AI threat detection models |url=https://www.tempestns.com/wp-content/uploads/2020/09/Vectra-DataScienceBehindCognito-wp.pdf}}</ref>, including supervised (pre-trained), unsupervised machine learning and deep learning techniques, to detect and respond to in-progress cyberattacks in real time.
[[File:Vectra-AI-X-series.jpg|alt=Vectra AI's x-series appliance|thumb|Vectra AI's x-series appliance]]
The product’s algorithms continuously learn the behavioral norms of devices, user accounts, ports and protocols to identify signs of compromise across enterprise infrastructure. Threats are automatically triaged, scored and correlated<ref>{{Cite web |title=Understanding Vectra AI |url=https://content.vectra.ai/hubfs/downloadable-assets/Understanding-Vectra-AI-2022.pdf}}</ref> to compromised hosts, and attack behaviors are correlated across hosts to provide the “narrative” of developing attacks. These threats are prioritized on an intuitive user interface<ref>{{Cite web |title=Vectra Analyst User Experiences (Respond vs Quadrant) |url=https://support.vectra.ai/s/article/KB-VS-1673}}</ref> while alerting and remediation actions are taken with other security technologies<ref>{{Cite web |title=29 Integrations with Vectra AI |url=https://sourceforge.net/software/product/Vectra-AI/integrations/ |publisher=[[SourceForge]]}}</ref>.


The company was listed on [[Forbes]] 2023 AI 50.<ref>{{Cite web |last=CAI" |first="KENRICK |title=The AI 50 2023 |url=https://www.forbes.com/lists/ai50/ |access-date=2024-01-10 |website=Forbes |language=en}}</ref>


The company’s current CEO is Hitesh Sheth.<ref>{{Cite web |last=jirehl |date=2024-01-16 |title=The Top 25 Cybersecurity Executives for 2024 {{!}} The Software Report |url=https://www.thesoftwarereport.com/the-top-25-cybersecurity-executives-for-2024/ |access-date=2024-01-23 |language=en-US}}</ref>


== Patents references ==
== Product ==
Vectra AI automates threat detection. The Vectra AI Platform with Attack Signal Intelligence uses AI to analyze the behavior of attackers and automatically apply triage. These threats are then correlated, and each security incident is prioritized. The platform employs the integrated signal powering Extended Detection and Response ([[Extended detection and response|XDR]]). XDR is designed to help with threat detection and response challenges in real-time.<ref>{{Cite web |title=Vectra AI unveils XDR platform with real-time attack signal intelligence |url=https://www.csoonline.com/article/648931/vectra-ai-unveils-xdr-platform-with-real-time-attack-signal-intelligence.html |access-date=2023-12-21 |website=CSO Online |language=en}}</ref><ref>{{Cite web |last= |first= |date=2023-08-08 |title=Vectra AI Platform provides real-time attack signal intelligence |url=https://www.helpnetsecurity.com/2023/08/08/vectra-ai-platform/ |access-date=2023-12-21 |website=Help Net Security |language=en-US}}</ref> In 2023 Vectra announced an update to their Cloud Detection and Response for Amazon Web Services.<ref>{{Cite web |last=Raynel |first=Tom |title=Vectra AI unveils enhanced Cloud Detection Response for AWS |url=https://securitybrief.asia/story/vectra-ai-unveils-enhanced-cloud-detection-response-for-aws |access-date=2024-01-23 |website=SecurityBrief Asia |language=en}}</ref>
{{Cite patent|country=US|number=20160149936|title=Method and system for detecting threats using passive cluster mapping|status=patent|pubdate=2016-05-26|fdate=2015-11-17|gdate=2018-05-29|invent1=Lopes Pegna|invent2=Beauchesne|inventor1-first=David|inventor2-first=Nicolas|assign1=Vectra Networks, Inc.|url=https://worldwide.espacenet.com/patent/search/family/056011396/publication/US2016149936A1?q=vectra%20networks}}


⚫
== Funding ==
{{Cite patent|country=US|number=20150264068|title=Method and system for detecting bot behavior|status=patent|pubdate=2015-09-17|fdate=2015-03-10|gdate=2018-03-27|invent1=Beauschesne|inventor1-first=Nicolas|assign1=Vectra Networks, Inc.|url=https://worldwide.espacenet.com/patent/search/family/054070274/publication/US2015264068A1?q=vectra%20networks}}
Vectra AI raised a total of $350 million<ref>{{Cite web |title=Vectra AI Joins Security Unicorn Pack at $1.2B Valuation |url=https://www.sdxcentral.com/articles/news/vectra-ai-joins-security-unicorn-pack-at-1-2b-valuation/2021/04/ |website=SDX Central}}</ref> in funding and is considered a [[Unicorn (finance)|Unicorn]] with its $1.2 billion [[Valuation (finance)|valuation]].{{Citation needed|date=October 2023}}


== Investors ==
{{Cite patent|country=US|number=20150312211|title=Method and system for generating durable host identifiers using network artifacts|status=patent|pubdate=2015-10-29|fdate=2015-03-10|gdate=2017-12-19|invent1=Beauchesne|invent2=Sher Gill|invent3=Kourosh Tavakoli|inventor1-first=Nicolas|inventor2-first=Monty|inventor3-first=Oliver|assign1=Vectra Networks, Inc.|url=https://worldwide.espacenet.com/patent/search/family/054072349/publication/US2015312211A1?q=vectra%20networks}}
Vectra AI has secured investments from a diverse group of [[investor]]s, including [[Khosla Ventures]], IA Ventures, [[Accel (company)|Accel Partners]], Atlantic Bridge, Wipro Ventures, AME Cloud Ventures, [[Intel Capital]], [[DAG Ventures]], [[Ireland Strategic Investment Fund]], Junos Innovation Fund ([[Juniper Networks|Juniper]]), Nissho Electronics, [[Silver Lake (investment firm)|Silver Lake]], TCV, and [[Blackstone Inc.|Blackstone]].<ref>{{Cite web |title=Vectra AI's Investors |url=https://www.vectra.ai/about/leadership#investors |website=Vectra AI's website}}</ref>

{{Cite patent|country=US|number=20160191551|title=Method and system for detecting threats using metadata vectors|status=patent|pubdate=2016-06-30|fdate=2015-11-17|gdate=2017-12-26|invent1=BEAUCHESNE|invent2=PEGNA|invent3=LYNN|inventor1-first=NICOLAS|inventor2-first=DAVID LOPES|inventor3-first=KARL|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/056014474/publication/US2016191551A1?q=vectra%20networks}}

{{Cite patent|country=US|number=2015264083|title=Malicious relay detection on networks|status=patent|pubdate=2015-09-17|fdate=2015-03-10|gdate=2017-04-18|invent1=PRENGER|invent2=BEAUCHESNE|invent3=LYNN|inventor1-first=RYAN JAMES|inventor2-first=NICOLAS|inventor3-first=KARL MATTHEW|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/054070284/publication/US2015264083A1?q=vectra%20networks}}

{{Cite patent|country=US|number=10033752|title=System for implementing threat detection using daily network traffic community outliers|status=patent|gdate=2018-07-24|invent1=PEGNA|invent2=MHATRE|invent3=BRDICZKA|inventor1-first=DAVID LOPES|inventor2-first=HIMANSHU|inventor3-first=OLIVER|assign1=VECTRA NETWORKS|url=https://worldwide.espacenet.com/patent/search/family/055910013/publication/US10033752B2?q=vectra%20networks}}

{{Cite patent|country=US|number=9602533|title=Detecting network reconnaissance by tracking intranet dark-net communications|status=patent|pubdate=2015-09-17|fdate=2015-03-10|gdate=2017-03-21|invent1=BEAUCHESNE|invent2=YOON|inventor1-first=NICOLAS|inventor2-first=SUNGWOOK|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/054070281/publication/US2015264078A1?q=vectra%20networks}}

{{Cite patent|country=US|number=2016191563|title=System for detecting threats using scenario-based tracking of internal and external network traffic|status=patent|pubdate=2016-06-30|fdate=2015-11-02|gdate=2018-02-20|invent1=BEAUCHESNE|invent2=PEGNA|inventor1-first=NICOLAS|inventor2-first=DAVID LOPES|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/055909669/publication/US2016191563A1?q=vectra%20networks}}

{{Cite patent|country=US|number=2015264073|title=SYSTEM AND METHOD FOR DETECTING INTRUSIONS THROUGH REAL-TIME PROCESSING OF TRAFFIC WITH EXTENSIVE HISTORICAL PERSPECTIVE|status=application|pubdate=2015-09-17|fdate=2015-03-10|invent1=TAVAKOLI|invent2=MA|invent3=HUANG|invent4=PANNING|inventor1-first=OLIVER KOUROSH|inventor2-first=TAO|inventor3-first=VENABLE|inventor4-first=JEFFREY CHARLES|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/054070278/publication/US2015264073A1?q=vectra%20networks}}

{{Cite patent|country=US|number=2015264069|title=Method and system for detecting external control of compromised hosts|status=patent|pubdate=2015-09-17|fdate=2015-03-10|gdate=2016-08-02|invent1=BEAUCHESNE|invent2=RYAN JAMES|inventor1-first=NICOLAS|inventor2-first=PRENGER|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/054070275/publication/US2015264069A1?q=vectra%20networks}}

{{Cite patent|country=US|number=20210105290|title=METHOD AND SYSTEM FOR DETECTING MALICIOUS PAYLOADS|status=application|pubdate=2018-03-15|invent1=BEAUCHESNE|invent2=MANCINI|inventor1-first=NICOLAS|inventor2-first=JOHN STEVEN|assign1=VECTRA AI INC|url=https://worldwide.espacenet.com/patent/search/family/059858890/publication/US2021105290A1?q=us20210105290}}

{{Cite patent|country=US|number=10050985|title=System for implementing threat detection using threat and risk assessment of asset-actor interactions|status=patent|fdate=2015-11-02|gdate=2018-08-14|invent1=MHATRE|invent2=DAVID LOPES|invent3=BRDICZKA|inventor1-first=HIMANSHU|inventor2-first=PEGNA|inventor3-first=OLIVER|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/055909670/publication/US10050985B2?q=vectra%20networks}}

{{Cite patent|country=US|number=10404730|title=High-volume network threat trace engine|status=patent|fdate=2017-02-21|gdate=2019-09-03|invent1=VENABLE|inventor1-first=SR JEFFREY CHARLES|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/067770265/publication/US10404730B1?q=vectra%20networks}}

{{Cite patent|country=US|number=2015082433|title=Systems and methods for capturing, replaying, or analyzing time-series data|status=patent|pubdate=2015-03-19|fdate=2014-06-19|gdate=2016-01-12|invent1=HARLACHER|invent2=ABENE|inventor1-first=JAMES|inventor2-first=MARK|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/050433852/publication/US2015082433A1?q=vectra%20networks}}

{{Cite patent|country=EP|number=3355547|title=Method and system for learning representations of network flow traffic|status=patent|pubdate=2018-08-01|fdate=2018-01-27|gdate=2020-12-29|invent1=SILVER|invent2=KAZEROUNIAN|inventor1-first=MATTHEW R|inventor2-first=SOHROB|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/061131998/publication/EP3355547A1?q=vectra%20networks}}

{{Cite patent|country=EP|number=3484122|title=Malicious relay and jump-system detection using behavioral indicators of actors|status=patent|pubdate=2019-05-15|fdate=2018-10-18|gdate=2021-11-23|invent1=MHATRE|invent2=BEAUCHESNE|inventor1-first=HIMANSHU|inventor2-first=NICOLAS|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/064308531/publication/EP3484122A1?q=vectra%20networks}}

{{Cite patent|country=US|number=2015264061|title=System and method for detecting network intrusions using layered host scoring|status=patent|pubdate=2015-09-17|fdate=2015-03-10|gdate=2017-02-07|invent1=IBATULLIN|invent2=PRENGER|invent3=BEAUCHESNE|invent4=LYNN|inventor1-first=OSKAR|inventor2-first=RYAN JAMES|inventor3-first=NICOLAS|inventor4-first=KARL MATTHEW|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/054070270/publication/US2015264061A1?q=vectra%20networks}}

{{Cite patent|country=EP|number=3117557|title=Method and system for detecting algorithm-generated domains|status=patent|pubdate=2017-01-18|fdate=2015-03-10|gdate=2017-10-31|invent1=HARLACHER|invent2=SOOD|invent3=IBATULLIN|inventor1-first=JAMES PATRICK|inventor2-first=ADITYA|inventor3-first=OSKAR|assign1=EP3117557|url=https://worldwide.espacenet.com/patent/search/family/054070276/publication/EP3117557A1?q=vectra%20networks}}

{{Cite patent|country=US|number=10623428|title=Method and system for detecting suspicious administrative activity|status=patent|fdate=2017-09-12|gdate=2020-04-14|invent1=BEAUCHESNE|invent2=NI|inventor1-first=NICOLAS|inventor2-first=KEVIN SONG-KAI|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/059858564/publication/US10623428B2?q=vectra%20networks}}

{{Cite patent|country=US|number=2018115570|title=SYSTEM AND METHOD FOR CATEGORIZING MALWARE|status=application|pubdate=2018-04-26|fdate=2017-10-26|invent1=OLLMANN|inventor1-first=GUNTER DANIEL|assign1=VECTRA NETWORKS INC|url=https://worldwide.espacenet.com/patent/search/family/061969913/publication/US2018115570A1?q=vectra%20networks}}

{{Cite patent|country=US|number=11330005|title=Privileged account breach detections based on behavioral access patterns|status=patent|fdate=2019-04-15|gdate=2022-05-10|invent1=BEAUCHESNE|invent2=MHATRE|invent3=HANNAH|inventor1-first=NICOLAS|inventor2-first=HIMANSHU|inventor3-first=DANIEL CARLTON|assign1=VECTRA NETWORKS INC|assign2=VECTRA AI INC|url=https://worldwide.espacenet.com/patent/search/family/070289713/publication/US11330005B2?q=vectra%20networks}}

{{Cite patent|country=US|number=2021092140|title=METHOD, PRODUCT, AND SYSTEM FOR DETECTING MALICIOUS NETWORK ACTIVITY USING A GRAPH MIXTURE DENSITY NEURAL NETWORK|status=application|pubdate=2021-03-25|fdate=2020-09-23|invent1=KAZEROUNIAN|invent2=HANNAH|invent3=OIKARINEN|inventor1-first=SOHROB|inventor2-first=DANIEL CARLTON|inventor3-first=TUOMAS P|assign1=VECTRA AI INC|url=https://worldwide.espacenet.com/patent/search/family/072615674/publication/US2021092140A1?q=vectra%20networks}}

{{Cite patent|country=US|number=11595416|title=Method, product, and system for maintaining an ensemble of hierarchical machine learning models for detection of security risks and breaches in a network|status=patent|fdate=2020-04-28|gdate=2023-02-28|invent1=CHEN|invent2=BEAUCHESNE|invent3=MHATRE|invent4=HIMANSHU|inventor1-first=HSIN|inventor2-first=NICOLAS|inventor3-first=MANCINI|inventor4-first=JOHN STEVEN|assign1=VECTRA AI INC|url=https://worldwide.espacenet.com/patent/search/family/070804525/publication/US11595416B2?q=us11595416}}


== References ==
== References ==
Line 87: Line 49:


== Further reading ==
== Further reading ==
* {{cite web|first1=Craig|last1=Lawson|first2=Claudio|last2=Nevia|title=Magic Quadrant for Intrusion Detection and Prevention Systems|url=https://www.gartner.com/doc/3844163/magic-quadrant-intrusion-detection-prevention|publisher=[[Gartner]]|url-access=subscription}}
* {{cite web|title=Global and United States Intrusion Detection and Prevention Software Market Size, Status and Forecast 2021-2027|date=20 September 2021|publisher=Kingpin Market Research|url-access=subscription|url=https://kingpinmarketresearch.com/global-and-united-states-intrusion-detection-and-prevention-software-market-19194401}}
* {{cite web|title=Global and United States Intrusion Detection and Prevention Software Market Size, Status and Forecast 2021-2027|date=20 September 2021|publisher=Kingpin Market Research|url-access=subscription|url=https://kingpinmarketresearch.com/global-and-united-states-intrusion-detection-and-prevention-software-market-19194401}}
* {{cite web|title=Intrusion Detection and Prevention Systems (IPS) Software Market Analysis 2022: Industry Size, Share, Emerging Trends, Growth Opportunities And Forecast To 2028|publisher=Stratagem Market Insights|date=January 2022|url-access=subscription|url=https://www.stratagemmarketinsights.com/report/intrusion-detection-and-prevention-systems-ips-software-market-99641}}
* {{cite web|title=Intrusion Detection and Prevention Systems (IPS) Software Market Analysis 2022: Industry Size, Share, Emerging Trends, Growth Opportunities And Forecast To 2028|publisher=Stratagem Market Insights|date=January 2022|url-access=subscription|url=https://www.stratagemmarketinsights.com/report/intrusion-detection-and-prevention-systems-ips-software-market-99641}}
Line 95: Line 56:
[[Category:Computer security companies]]
[[Category:Computer security companies]]
[[Category:Networking companies of the United States]]
[[Category:Networking companies of the United States]]
[[Category:AI companies]]
[[Category:Artificial intelligence companies]]


{{US-company-stub}}
{{computer-security-stub}}

Latest revision as of 06:50, 2 October 2024

Vectra AI
FormerlyTraceVector
Vectra Networks
Company typePrivately held
IndustryCybersecurity
Network security
Cloud security
Founded2012; 12 years ago (2012)
FoundersMark Abene, James Harlacher, Marc Rogers, Steven Lutz
Headquarters
San Jose, California
,
U.S.
Number of locations
11 offices; 3 Security Operations Centers (2023)
Area served
North America, Europe, Middle East, Africa, Australia/New Zealand, Japan and Asia-Pacific
Key people
Hitesh Sheth (CEO)
Willem Hendrickx (CRO)
Oliver Tavakoli (CTO)
ProductsVectra AI Cybersecurity Platform (formerly Cognito Platform), Vectra Detect, Vectra Recall, Vectra Stream
ServicesMDR (Managed security service)
Number of employees
580
Websitewww.vectra.ai

Vectra AI, Inc. is a cybersecurity company that uses AI for hybrid attack detection, investigation, and response (NDR) solutions.[1] The company was established in 2012 and operates in 113 countries from its San Jose, California headquarters.

History

[edit]

Vectra AI, formerly known as TraceVector, was founded in 2008 by a group of 4 cybersecurity professionals. Its mission was to offer security professionals an automated intrusion detection system that could address the escalating and sophisticated cyber-attacks which had increased dramatically in recent years.[2]

In March 2015, Vectra launched the S-series sensor,[3] announced record bookings growth of nearly 400 percent in 2015 over 2014 and expanded its business into EMEA.[4]

On January 25, 2022, Vectra AI completed the acquisition of Siriux, a network management software company.[5][6]

In 2023, the company partnered with Curtiss-Wright’s Defense Solutions Division to support cyber stacks used in National Security operations.[7][8]

The company was listed on Forbes 2023 AI 50.[9]

The company’s current CEO is Hitesh Sheth.[10]

Product

[edit]

Vectra AI automates threat detection. The Vectra AI Platform with Attack Signal Intelligence uses AI to analyze the behavior of attackers and automatically apply triage. These threats are then correlated, and each security incident is prioritized. The platform employs the integrated signal powering Extended Detection and Response (XDR). XDR is designed to help with threat detection and response challenges in real-time.[11][12] In 2023 Vectra announced an update to their Cloud Detection and Response for Amazon Web Services.[13]

Funding

[edit]

Vectra AI raised a total of $350 million[14] in funding and is considered a Unicorn with its $1.2 billion valuation.[citation needed]

Investors

[edit]

Vectra AI has secured investments from a diverse group of investors, including Khosla Ventures, IA Ventures, Accel Partners, Atlantic Bridge, Wipro Ventures, AME Cloud Ventures, Intel Capital, DAG Ventures, Ireland Strategic Investment Fund, Junos Innovation Fund (Juniper), Nissho Electronics, Silver Lake, TCV, and Blackstone.[15]

References

[edit]
  1. ^ Raynel, Tom. "Vectra AI unveils enhanced Cloud Detection Response for AWS". SecurityBrief Asia. Retrieved 2023-12-21.
  2. ^ "Archive of TraceVector's website". Archived from the original on 2010-05-25. Retrieved 2023-11-29.{{cite web}}: CS1 maint: bot: original URL status unknown (link)
  3. ^ "Vectra Networks ships a new sensor for its attack-detection gear". Network World. 27 March 2015.
  4. ^ "Vectra Networks Expands into EMEA". Vectra Networks website.
  5. ^ "Vectra AI snaps up identity and SaaS posture management startup Siriux". Ingenio. Retrieved 2024-09-06.
  6. ^ Kobialka, Dan (2022-01-26). "Vectra Acquires Identity, SaaS Threat Management Company Siriux -". MSSP Alert. Retrieved 2024-09-06.
  7. ^ Magazine, EP&T (2023-09-23). "Curtiss-Wright Collaborates with Vectra AI". Electronic Products & Technology. Retrieved 2024-01-10.
  8. ^ Blinde, Loren (2023-09-13). "Curtiss-Wright collaborates with Vectra AI". Intelligence Community News. Retrieved 2024-01-10.
  9. ^ CAI", "KENRICK. "The AI 50 2023". Forbes. Retrieved 2024-01-10.
  10. ^ jirehl (2024-01-16). "The Top 25 Cybersecurity Executives for 2024 | The Software Report". Retrieved 2024-01-23.
  11. ^ "Vectra AI unveils XDR platform with real-time attack signal intelligence". CSO Online. Retrieved 2023-12-21.
  12. ^ "Vectra AI Platform provides real-time attack signal intelligence". Help Net Security. 2023-08-08. Retrieved 2023-12-21.
  13. ^ Raynel, Tom. "Vectra AI unveils enhanced Cloud Detection Response for AWS". SecurityBrief Asia. Retrieved 2024-01-23.
  14. ^ "Vectra AI Joins Security Unicorn Pack at $1.2B Valuation". SDX Central.
  15. ^ "Vectra AI's Investors". Vectra AI's website.

Further reading

[edit]
Retrieved from "https://en.wikipedia.org/enwiki/w/index.php?title=Vectra_AI&oldid=1248925402"