Cybereason

Cybereason
Endpoint security platform
Cybersecurity
Threat Intelligence
Machine Learning
Data Analytics
Enterprise Software
Cybereason 채용공고
채용공고 4개
마감된 채용공고
10개 포지션
Sales Engineer
Osaka
미들급
마감 1주 전
Windows Internals Team Lead
Tel Aviv
리드급
마감 1개월 전
Endpoint Protection Software Team Leader
Tel Aviv
미들급
마감 1개월 전
Rust Engineer
Tokyo
미들급
마감 1개월 전
Windows Drivers Software engineer
Tel Aviv
미들급
마감 1개월 전
제품 및 서비스
CO
computer security software
Cybersecurity

Cybereason XDR
Extended Detection and Response

Cybereason Defense Platform
Endpoint Security

Cybereason Managed Detection and Response
Managed Services

Cybereason EDR
Endpoint Security

Cybereason Incident Response
Professional Services

Cybereason NGAV
Antivirus

Cybereason Threat Hunting
Threat Hunting

Cybereason Ransomware Protection
Ransomware Protection
리더십
LD
Lior Div
CEO
YN
Yossi Naar
CTO
SM
Sammy Migues
Chief Scientist
유사 기업

Cato Networks
Develops Secure Access Service Edge (SASE) technology, which combines enterprise communication and security capabilities into a single cloud-based ...
Tel Aviv, Israel
501-1,000명
비상장
기업가치 $2.5B
123개 채용공고

Vectra AI
Cybersecurity company.
San Jose, California
201-500명
비상장
15개 채용공고

Sonatype
Software supply chain management
Washington
201-500명
비상장
16개 채용공고

Upwind
Cloud infrastructure security
New York, NY
51-200명
비상장
기업가치 1.5B

Tines
Security workflow automation
Dublin, Ireland
5001-10000명
비상장
기업가치 $1.8B
13개 채용공고
최근 소식
All
X
News
HN
YouTube
CrowdStrike Linux Agent Easy way to make it better
I love crowdstrike, its amazing. However, its Linux agent isn't the best. I created an open-source Linux EDR solution and I loved it. So I wanted to know why aren't Crowdstrike copying it, collobarating with it or just using it? I think it can dramatically improve the Linux agent.<p>The open-source project that I created: https://github.com/Cybereason-Public/owLSM
HN
·
1개월 전
·
1
·
1
AI anti-viruses
https://preview.redd.it/wvy6bl2c2gwg1.jpg?width=1480&format=pjpg&auto=webp&s=20b799f02e08c721fb729ef59ed51a3e0db3c6bf I made an application via python. It's nothing complex, it just takes characters you input into a field, and replaces the characters with the requested output.I made an application via python. It's nothing complex, it just takes characters you input into a field, and replaces the characters with the requested output. So for example, you can Input "Happy", and have
·
1개월 전
·
2
Full algorithm chain I used to implement a sigma rules engine in Linux Kernel
HN
·
1개월 전
·
3
How we implemented verifier-friendly O(n) substring search in eBPF LSM
We needed substring matching in our enforcement policy. I checked how other projects like Tetragon and KubeArmor handle it - turns out no open source project had done it. So we built it ourselves. After trying multiple approaches, we found what works best. Our constraints: - Haystack: 254 chars - Needle: 32 chars - Kernel 5.12+ support I tweeted about it and got great feedback, so here's the full technical deep dive. **The problem:** We needed `string_contains` for our rules, but it had to be
·
1개월 전
·
10
·
3
Wazuh being sued for patent infringement
I came across this today and haven't seen it anywhere. I know it's pretty new so it's not surprising that it hasn't been written about that I've seen. A "company" called "Speech Transcription LLC" is suing over alleged infringement of a patent that is supposedly for a unified security management system. In trying to find out more about this "company" I enjoyed Google's AI assistant blatantly calling them out as patent trolls and showing that many of the other lawsuits filled in the last few
·
1개월 전
·
29
·
11
더 보기 (15개 남음)
전체 조회수
0
전체 지원 클릭
0
전체 Mock Apply
0
전체 스크랩
0
리뷰
3.9
10개 리뷰
워라밸
4.0
보상
2.8
문화
4.2
커리어
3.2
경영진
2.5
72%
지인 추천률
장점
Good work-life balance and flexibility
Strong company culture and collaborative environment
Interesting and innovative projects
단점
Limited career advancement and slow promotions
Poor management and lack of transparency
Compensation could be better
연봉 정보
15개 데이터
L2
L3
L4
L5
L6
L2
0개 리포트
$77,982
총 연봉
기본급
$31,193
주식
$38,991
보너스
$7,798
$54,587
$101,377
면접 후기
후기 44개
난이도
3.1
/ 5
소요 기간
2-5w
합격률
36%
경험
긍정 61%
보통 22%
부정 17%
면접 과정
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
연락처 및 위치