When it comes to securing their environments, IT professionals have a critical decision to make: Should they wait until after malicious actors strike to react to security incidents, or should they address threats proactively to stop attacks before they happen?

Cybercrime is like a disease. If you don’t take preventative measures to protect yourself, you risk having to undergo lengthy and expensive medical treatment later. The same goes for cybersecurity. A little endpoint security can go a long way toward keeping your crown jewels safe and avoiding costly data breaches.

Addressing the Need for Speed

Proactive endpoint security is essential, but it isn’t always easy. Given the rapid expansion and growing sophistication of the cybercrime landscape, speed is crucial for security analysts. How can they reduce the time it takes to investigate incidents and gain actionable threat intelligence?

To keep up with this ever-intensifying barrage of threats, security professionals must involve the right people and employ the right tools to support sound decision-making on a daily basis. With continuous access to threat data consolidated from many sources, security teams can save a significant amount of time and make decisions with more confidence. Put simply, data consolidation combined with data transformation produces better security insights.

Enhanced Visibility Into Endpoint Security Data

Security operations center (SOC) managers are responsible for monitoring the overall health of the organization. To proactively mitigate risks, they need to see the status of the entire body, preferably in a single dashboard, so they can examine it quickly.

SOC teams rely on endpoint security solutions to reduce the time it takes to gain valuable insights, which enables analysts to make better decisions and recommendations. With enhanced visibility into risks and vulnerabilities, analysts can prioritize threats, manage patches and monitor attack trends with greater speed and accuracy.

As the rate of cybercrime increases, the time it takes to investigate incidents and identify root causes becomes even more critical. SOC teams need access to deep and wide-scoped endpoint security data to monitor particularly vulnerable segments of the organization’s network. By correlating this data to other segments, security professionals can identify and remediate similar exposures to more thoroughly protect the entire IT environment.

Tell Us What You Think

Is your organization taking a proactive approach to security? Take a few minutes to tell the IBM BigFix team what you think about endpoint security data visualization.

Read the report: Making Security Analytics More Effective with Deep Insight into Endpoints

More from Intelligence & Analytics

Email campaigns leverage updated DBatLoader to deliver RATs, stealers

11 min read - IBM X-Force has identified new capabilities in DBatLoader malware samples delivered in recent email campaigns, signaling a heightened risk of infection from commodity malware families associated with DBatLoader activity. X-Force has observed nearly two dozen email campaigns since late June leveraging the updated DBatLoader loader to deliver payloads such as Remcos, Warzone, Formbook, and AgentTesla. DBatLoader malware has been used since 2020 by cybercriminals to install commodity malware remote access Trojans (RATs) and infostealers, primarily via malicious spam (malspam). DBatLoader…

New Hive0117 phishing campaign imitates conscription summons to deliver DarkWatchman malware

8 min read - IBM X-Force uncovered a new phishing campaign likely conducted by Hive0117 delivering the fileless malware DarkWatchman, directed at individuals associated with major energy, finance, transport, and software security industries based in Russia, Kazakhstan, Latvia, and Estonia. DarkWatchman malware is capable of keylogging, collecting system information, and deploying secondary payloads. Imitating official correspondence from the Russian government in phishing emails aligns with previous Hive0117 campaigns delivering DarkWatchman malware, and shows a possible significant effort to induce a sense of urgency as…

X-Force releases detection & response framework for managed file transfer software

5 min read - How AI can help defenders scale detection guidance for enterprise software tools If we look back at mass exploitation events that shook the security industry like Log4j, Atlassian, and Microsoft Exchange when these solutions were actively being exploited by attackers, the exploits may have been associated with a different CVE, but the detection and response guidance being released by the various security vendors had many similarities (e.g., Log4shell vs. Log4j2 vs. MOVEit vs. Spring4Shell vs. Microsoft Exchange vs. ProxyShell vs.…

Unmasking hypnotized AI: The hidden risks of large language models

11 min read - The emergence of Large Language Models (LLMs) is redefining how cybersecurity teams and cybercriminals operate. As security teams leverage the capabilities of generative AI to bring more simplicity and speed into their operations, it's important we recognize that cybercriminals are seeking the same benefits. LLMs are a new type of attack surface poised to make certain types of attacks easier, more cost-effective, and even more persistent. In a bid to explore security risks posed by these innovations, we attempted to…