PT Network Attack Discovery is a deep network traffic analysis (NTA) system for detecting attacks on the perimeter and inside your network. The system makes hidden threats visible, detects suspicious activity even in encrypted traffic, and helps investigate incidents.
97 percent of major companies in Eastern Europe have suspicious network activity. 94 percent experience non-compliance with security policies. And at 81 percent of them, signs of malware were detected. What does this all mean? Our new research suggests a few answers.Read the report
Detects malicious activities in east/west traffic
PT NAD analyzes both north/south and east/west traffic and detects lateral movement, attempts to exploit vulnerabilities, and attacks against end users on the domain and internal services.
PT NAD detects
Positive Technologies is a MAPP member. We receive information about zero-day vulnerabilities in Microsoft’s products. That’s why PT NAD’s customers get protection faster.
We surveyed information security experts to find out their opinions on traffic visibility. Where is traffic visibility higher: on the perimeter or inside the network? What network threats do security experts detect most often? Network visibility vs encryption: what do security experts choose?Read full report
Detects even modified malware
PT NAD alerts about all dangerous threats and detects even modified versions of malware. To describe the full range of cyberthreats, our experts constantly explore the latest malware samples and hacker tools, techniques, and procedures. Each rule they create covers an entire malware family.
How it works
PT NAD captures and analyzes traffic on the perimeter and inside infrastructure. This allows detecting hacker activity at the earliest stages of network penetration, as well as during attempts to gain a foothold on the network and develop the attack.
Keeps attacks private
PT NAD is an on-premise solution. All data is stored on client infrastructure, never leaving the corporate perimeter. Information on attacks and damage is not transmitted to the outside, minimizing reputational risks.
Security policy compliance
PT NAD detects IT configuration flaws and cases of non-compliance with security policies, which otherwise can offer attackers a way in. Filters help to quickly identify credentials stored in cleartext, unencrypted messages, remote access utilities, and tools that hide network activity. Pin filters of interest in a separate widget for quick reference. Here is a widget displaying all non-encrypted passwords:
Detection of attacks on the perimeter and inside the network
Thanks to embedded machine learning technologies, advanced analytics, unique threat detection rules, indicators of compromise, and retrospective analysis, PT NAD detects attacks both at the earliest stages and after attackers have already burrowed into infrastructure.
The PT Expert Security Center updates rules and indicators of compromise twice a week. Updating the database does not require a constant connection to the Positive Technologies cloud.
Investigation of attacks
Because PT NAD saves copies of raw traffic and session data, forensic investigators can:
- Localize attacks.
- Reconstruct kill chains.
- Detect vulnerabilities in infrastructure.
- Take measures to prevent similar attacks.
- Gather evidence of malicious activity.
PT NAD is ideal for threat hunting and detecting hidden threats that standard cybersecurity tools miss. A security analyst, possessing the necessary skills and infrastructure-specific knowledge, can empirically test hypotheses. So PT NAD makes it possible to determine whether a hacker group, insider threat, or data breach is truly present, and if the hypothesis is confirmed, take proactive measures accordingly.
We are a Microsoft Active Protections Program member
We receive information about zero-day vulnerabilities in Microsoft’s products. That’s why PT NAD’s customers get protection faster.
Integrates with SIEM and sandbox solutions
By taking advantage of powerful integration support, users can manage incidents and detect malicious content in file traffic.