In this article, I’ll briefly review current endpoint security technologies, describe the threat landscape, and point out where endpoint protection falls short in protecting your organization.
Here are the three notable security solutions that can help you mitigate endpoint risks:
Endpoint Detection and Response Tools
Endpoint detection and response (EDR) solutions continuously monitor the network. EDR tools collect and analyze threat data from endpoints, searching for anomalous behavior that indicates a security breach. The goal is to facilitate faster response time and reduce the impact of breaches. EDR tools integrate with notification systems and on-call management tools to ensure that security teams are immediately aware of breaches on endpoints.
Managed Detection and Response Services
Managed detection and response (MDR) services are supported by expert security personnel dedicated to performing monitoring, detection, and response tasks. Organizations can employ MDR services to help fill in the cybersecurity skills gap and ensure their networks and endpoints are properly secured.
Extended Detection and Response Platforms
Extended detection and response (XDR) platforms centralize your detection and response efforts into one platform. Organizations can leverage XDR capabilities to automate the collection and correlation of data across all security layers. It helps break down data silos to identify evasive attacks.
XDR platforms employ both network and endpoint monitoring to extend visibility into all devices on the network. These platforms can also initiate automated processes to alert security teams when threats are detected. XDR is one of the foundational technologies of a Zero Trust security approach, in which the network denies connections by default, continuously verifies access even for connections within the network, and automatically detects anomalies.
XDR solutions are used for end-to-end detection and response of security incidents, so they often integrate with notification systems to push alerts to security staff. Alerts can either be notifications of automated responses performed by the XDR system, or new incidents awaiting triage and response by human security analysts.
Try OnPage for FREE! Request an enterprise free trial.
Modern threats facing endpoints fall into four primary attack tiers.
Tier 1: Opportunistic Attacks
An opportunistic attack uses basic techniques such as malicious scripts or malware to compromise an endpoint. This type of attack relies on large-scale exploit attempts, not on specific knowledge of an organization’s network vulnerabilities. Opportunistic attackers rely on the fact that most organizations fail to install security patches immediately. At the same time, users often lack adequate security awareness. Attackers typically use an executable file or script to deliver the attack, relying on a user to execute it on the endpoint unwittingly.
Tier 2: Phishing Exploits
A fishing exploit is an opportunistic attack that uses social engineering techniques to compromise an endpoint device. The attacker tricks the user of an endpoint device into providing access, usually via a phishing email or a link to a fake website. The attacker then uses advanced techniques such as software payloads or trojans to collect sensitive information from the user base, enabling the attacker to capture inputs from logins, keystrokes, or company websites.
Tier 3: Targeted Attacks
Attackers can focus on specific targets by exploiting an organization’s unique vulnerabilities. They might look for points of weakness in the target’s infrastructure. This type of attack usually involves a human threat actor with knowledge of an identified vulnerability, whether discovered externally or internally by the organization. The attacker might leverage insider intel or use opportunistic techniques to identify vulnerabilities. Targeted attacks are often difficult to detect because they exploit organization-specific vulnerabilities and use multiple, seemingly innocuous stages. For example, the attacker might carry out a SQL injection attack by sending malicious queries to API endpoints.
Tier 4: Advanced Persistent Threats
An advanced persistent threat (APT) is a threat actor that resides in the network and avoids detection for a long time. In some cases, APTs can remain undetected for years. This attack type is slow and stealthy, usually focusing on data exfiltration rather than causing direct damage to the system. A major risk for organizations is the involvement of a malicious insider who leverages the inside knowledge of the target environment, disguises malicious activity as legitimate using approved credentials, and can locate high-value data assets.
Try OnPage for FREE! Request an enterprise free trial.
While state of the art endpoint protection solutions can protect against all four the threat tiers described above, they suffer from several weaknesses:
Endpoint protection technology has greatly advanced over the past 20 years. State of the art solutions are able to detect and block zero day threats, fileless attacks, and advanced persistent threats (APT) lurking in a network and operating across multiple security silos. However, at the end of the day, endpoint security tools can only protect managed devices, and this is their primary weakness.
In a modern IT environment, it is no longer feasible for organizations to install endpoint protection agents on all endpoints. Users are increasingly using BYOD personal devices, some endpoints are outside the organization’s control (as in the case of cloud resources), and some, like legacy or IoT devices, simply do not support installation of agents in the traditional sense. A new approach to endpoint security is needed, which can detect and respond to threats on endpoints without requiring dedicated security agents on the device.
Site Reliability Engineer’s Guide to Black Friday It’s gotten to the point where Black Friday…
Cloud engineers have become a vital part of many organizations – orchestrating cloud services to…
Organizations across the globe are seeing rapid growth in the technologies they use every day.…
How Effective Are Your Alerting Rules? Recently, I came across this Reddit post highlighting the…
What Are Large Language Models? Large language models are algorithms designed to understand, generate, and…
Recognition highlights OnPage's commitment to advancing healthcare communication through new integrations and platform upgrades. Waltham,…