What Is APT Hunting?

Advanced Persistent Threat (APT) is a sophisticated and highly-targeted attack designed to evade traditional security measures and remain undetected for an extended period. APTs are typically launched by well-funded and organized groups, such as nation-state actors or organized criminals, and usually have severe consequences for the targeted organization.

APT Hunting is proactively seeking out and identifying advanced and persistent cyber threats actively trying to infiltrate an organization’s networks and systems. It is a continuous and iterative process that involves collecting, analyzing, and interpreting data from various sources to detect potential threats and prevent them from causing damage.

How Is Camelot’s APT Hunting Different?

Camelot’s APT Hunting involves multiple techniques and technologies, including network monitoring, log analysis, integrated threat intelligence feeds, and behavioral analysis. By monitoring suspicious activity and behavior patterns, Camelot can identify potential threats before they can cause damage. The company deploys a combination of skilled analysts, robust technologies, and a strong cybersecurity culture within the organization. It is an ongoing process that must be continually updated and refined as new threats emerge and evolve.

Your Network Is Constantly Under Siege

• By 2025, cybercrime will cost the world $10.5 trillion yearly.
• 64% of companies worldwide have experienced at least one cyber attack.
• Every 39 seconds, there is a new attack somewhere on the web.
• The entire cost of cyberattacks in 2022 was $6 trillion.

Camelot’s APT Hunt is an offensive approach, accomplished by finding threat patterns inside the network using AI/ML technologies mapped with the MITRE ATT&CK™ framework to include real-time threat intelligence data feeds. Critical steps for a successful APT Hunt include:

1. Integrate as many data sources and intel threat feeds as possible.
2. Automate the ability to baseline what “normal” looks like across the entire cyberspace under protection.
3. Automate and persistently generate hypotheses and test use cases against the baseline under protection.
4. Generate relevant alerts and prioritize them to indicate the most important for investigation or further analysis.

AVERAGE time a threat resides in your network.

According to IBM, on average, it took 207 days to discover a breach in 2022 and an additional 70 days to contain it effectively. If a breach occurred on January 1st of that year, it would take until October 4th to identify and contain it based on the average time frame. Camelot’s Advanced Persistent Threat (APT) Hunting decreased the days to discover a breach using machine learning and AI to detect and respond to threats. It’s a sophisticated approach that helps organizations better understand their threat landscape and protect systems against targeted cyber attacks.

By adopting Camelot’s APT Hunting, organizations can better understand their cyber-threat landscape and protect systems against the most sophisticated and targeted attacks—that continue to evade traditional cybersecurity practices.