Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

For years, security leaders have debated the advantages of building in-house security operations centers or outsourcing the SOC function to a third party. Both options have their pros and cons. The best choice for each organization depends on a few factors: the type of threats it encounters, the resources it has at its disposal, the complexity and breadth of their attack surface, and the commitment it wants to make to advanced threat hunting.

IoCs are forensic data threat intelligence teams use to confirm cyberattack occurrences and build cyber-defense strategies. IoCs are critical in identifying system vulnerabilities, and determining how a cyber-crime was executed. While the relevance of IoCs cannot be downplayed in the cyber security space, they are not all that’s needed in building an effective cyber-defense strategy.

Welcome to the third entry in our introduction to the PEAK Threat Hunting Framework! Taking our detective theme to the next level, imagine a tough case where you need to call in a specialized investigator (even Sherlock depended on Watson from time to time!). For these unique cases, we can use algorithmically-driven approaches called Model-Assisted Threat Hunting (M-ATH). In this post, we’ll look at M-ATH in detail.

Picture yourself as a cyber detective, ready to uncover the hidden threats lurking in the shadows of your organization's network. Sounds exciting, right? Well, hypothesis-driven hunting is all about channeling your inner Hercule Poirot to stay one step ahead of adversaries working against you. The PEAK threat hunting framework identifies three primary types of hunts: In this post, we’re going to look at hypothesis-driven hunting in detail.

Threat hunting is the process of proactively searching for hidden threats in an organization’s environment – a critical modern cybersecurity activity. However, relying on manual threat hunting alone can be time-consuming and resource-intensive.

Threat hunting has become an increasingly important aspect of cybersecurity, as organizations strive to identify and mitigate security incidents that automated systems may have missed. Yes, the definition of threat hunting can vary, and it generally involves a combination of manual and machine-assisted processes driven by human curiosity and pattern recognition.

Protecting data and protecting business continuity are both similar and different. In a data driven world, your mission as a security analyst is to prevent threat actors from gaining unauthorized access to sensitive data and systems. Simultaneously, you also need to investigate incidents rapidly, ensuring that critical services experience as little downtime as possible.

Cybersecurity is an ever-evolving game of cat and mouse. As security experts come up with new ways to protect valuable digital assets, cybercriminals develop craftier techniques to bypass these defenses. Enter threat hunting – the proactive practice of ferreting out those sneaky cyber-rodents.