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Sunnyvale, California, United States
Hybrid
Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments – stopping the spread of attacks before they become disasters.
Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running.
At Illumio, the Office of the CTO and Security helps shape the company’s strategic technical direction while advancing the security of Illumio and our customers. Within this organization, the Threat Research team studies emerging threats, adversary behaviors, and evolving technologies, working closely with Engineering and Product Management to translate research into stronger security capabilities and customer outcomes.
We are looking for a curious and motivated Security Research Intern to join the team. You’ll work alongside experienced threat researchers to investigate real-world cyber threats, understand how attackers operate, analyze their behaviors and infrastructure, and explore how research can inform new security insights and detection capabilities.
This is a hands-on opportunity to work at the intersection of threat research, threat intelligence, security telemetry, and data analysis. You’ll tackle problems grounded in real-world adversary activity, with opportunities to explore emerging technologies and techniques, including AI and ML, where relevant to the research.
Research emerging threats, vulnerabilities, attacker campaigns, and evolving adversary techniques.
Analyze threat intelligence including malicious IP addresses, domains, attacker infrastructure, and adversary behaviors.
Investigate network activity associated with command-and-control, suspicious communications, and other potentially malicious behavior.
Analyze security and network telemetry to identify patterns that may distinguish normal from suspicious activity.
Explore machine learning and statistical techniques for security use cases such as anomaly detection, behavioral analysis, clustering, and classification.
Experiment with ML models and detection approaches, evaluating their effectiveness, limitations, and potential false positives.
Help build and curate structured datasets connecting threats, campaigns, indicators, vulnerabilities, and attacker techniques.
Explore how threat intelligence and security telemetry can be combined to develop new detection ideas.
Collaborate with threat researchers, data scientists, engineers, and product teams to communicate findings and potential security improvements.
Present research, experiments, and key learnings at the end of the internship.
Currently enrolled in a full-time Bachelor’s or Master’s degree program in Computer Science, Cybersecurity, Data Science or a related technical field with an expected graduation date in Winter 2027/Spring 2028
Strong interest in cybersecurity, security research, threat intelligence, or machine learning
Exposure to threat intelligence concepts such as IOCs, attacker campaigns, malware, vulnerabilities, or MITRE ATT&CK
Basic understanding of networking concepts and protocols such as TCP/IP, DNS, and HTTP/HTTPS
Familiarity with Python, SQL/KQL, notebooks, or similar programming and data-analysis tools, with an interest in analyzing security and network telemetry
Ability to research technical topics and clearly communicate findings
Curiosity about how attackers operate and how their behaviors can be detected
Nice to Have:
Experience in these areas is helpful, but not required:
Experience working with network or security telemetry, logs, or large datasets
Familiarity with Python data analysis tools such as pandas or NumPy
Basic understanding of machine learning or statistical techniques, such as classification, clustering, or anomaly detection
Experience experimenting with ML libraries such as scikit-learn, PyTorch, or similar frameworks
Interest in applying machine learning to cybersecurity problems such as behavioral analysis or threat detection
Participation in CTFs, security competitions, academic research, open-source projects, or personal security projects
You don’t need to already be an expert in cybersecurity or machine learning. We’re looking for students with strong technical fundamentals, curiosity, and an eagerness to learn across disciplines. Coursework, research projects, CTFs, ML projects, open-source contributions, or independent security research can all demonstrate relevant experience.
What You’ll Gain:
During the internship, you’ll have opportunities to:
Build practical experience in security research, threat intelligence, and adversary analysis.
Develop a deeper understanding of network security, security telemetry, and threat detection.
Learn how to investigate emerging threats and translate research into detection and product ideas.
Gain exposure to emerging approaches, including machine learning and data-driven security techniques, where relevant.
Work alongside experienced threat researchers and learn how security research operates in a real-world cybersecurity organization.
You’ll finish the internship with experience investigating real security problems and understanding how threat research, security telemetry, and machine learning can work together to identify malicious behavior and improve detection capabilities.
#LI-PO1 #LI-ONSITE
Our Commitment
Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions creates a culture of belonging, drives our future, and makes us stronger together in support of our customers and their success.
All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.
