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Advanced Incident Prevention blocks threats at both the network and application layers, including port scans, buffer overflows and remote code execution, with a low tolerance for false positives.
Comprehensive Intrusion Detection & Prevention
Intrusion detection is a cybersecurity process that monitors a network or computer system for signs of potential threats or violations.The goal is to identify suspicious activity and catch hackers before they cause damage.
Intrusion detection systems (IDS) are software or devices that automate the process of intrusion detection. They monitor network traffic and devices for suspicious activity, policy violations, or known malicious activity. When an IDS detects a threat, it sends an alert to a security team or IT. Some IDS can also take action, such as blocking suspicious or malicious traffic.
IDSes are important because they:
- Help identify security incidents
- Analyze the types and quantity of attacks
- Help identify problems with device configurations or bugs
- Support regulatory compliance
- Act as a defense for systems security when other technologies fail
- Application Protocol-Based Intrusion Detection System (APIDS): Monitors and interprets communication on application-specific protocols
- Hybrid Intrusion Detection System: Combines network information with host agent or system data to develop a complete view of the network system
- Network Intrusion Detection System (NIDS): Monitors networks across cloud and on-premise infrastructure

Why Choose Intrusion Detection & Prevention
- Proactive defense against emerging threats.
- Tailored solutions that align with your goals and industry.
- Increased organizational resilience and readiness.
- Support for achieving and maintaining regulatory compliance.
Our Intrusion Detection & Prevention Process
Typically we evaluate which type of attack based on the requirements. An example Test procedure is shown as an example:
TEST PROCEDURE
The overall command-and-control test procedure included six main categories of attack scenarios executed using the Cobalt Strike attack framework. Each of the six categories examines a major aspect of the respective product’s capabilities in a specific real-world scenario. HTTP over TCP port 80 was used for command-and-control communication unless otherwise noted. For each profile tested, a stageless implant/beacon was generated and delivered to the “victims” for execution out-of-band prior to testing. In other words, only the capability of the product to intervene and protect against Cobalt Strike callback network activity was tested, not the ability to block the initial delivery of the beacon itself; exploitation and delivery of the beacon are assumed to have already taken place. The types of attacks we evaluated are: 1. Basic Attack Scenario: This test was performed to evaluate the product’s basic protection against the most commonly available public attack profiles attempting data exfiltration and malware delivery via HTTP. The basic attack scenario included three subcategories: Normal, Crimeware, and APT.
1. Each scenario had a multitude of profiles that were evaluated as a part of the Cobalt Strike attack framework.
2. Random Attack Scenario: This test was performed to evaluate the protection when the data transform language utilized in Cobalt Strike is leveraged to generate “randomized” attack scenarios using tools that are part of the Cobalt Strike arsenal of researchers and the public. This randomization increases the probability wherein the traditional threat defenses of the firewall might be rendered ineffective against data exfiltration and malware delivery.
3. Custom Attack Scenario: This was the first of the confirmation tests, which used a smaller profile set. This test was performed using purposely chosen and modified attacks from the Basic and Random attack scenarios. The modifications were made to attacks that were previously blocked, to confirm whether the modifications would be sufficient to bypass the defenses. Modifications were made on the different variables that are supported for customization. The variables were modified using data transform language.
4. Nonstandard ports-based Attack Scenario: The purpose of this testing was to confirm if the next-generation firewalls can continue to provide protection when attacks use HTTP over a nonstandard port.
5. HTTPS Attack Scenario: The purpose of this testing was to confirm if the next-generation firewalls provide the same level of protection when attacks are delivered via HTTPS rather than HTTP.
6. Hostname Change Attack Scenario: The purpose of this testing was to confirm if the next-generation firewalls continue to provide the same level of protection when the threat actors adjust/seed/modify the hostname used by a profile in order to evade reputation-based protection. The tests did not have equal sample sizes. The Custom Attack Scenario, Nonstandard Ports-based Attack Scenario, HTTPS Ports-based Attack Scenario, and the Hostname Change Attack Scenario were verification exercises.
Thus, they did not require many profiles. As a result, the vast majority of profiles were run in the Basic Attack Scenario and Random Attack Scenario.

Understanding Your Security Needs and Goals
We start by thoroughly assessing your current security landscape, including infrastructure, systems, and processes. We work to understand your business objectives and industry-specific compliance requirements to ensure our solutions align with your operational goals.

Uncovering Gaps and Vulnerabilities
An intrusion detection and prevention system (IDPS) is a network security tool that monitors traffic and actively blocks suspicious behavior. IDPSs are made up of sensors and a management console that work together to detect and stop threats.
IDPSs are a critical component of cloud security strategies, as they help protect against unauthorized access to workloads. They are also important for compliance with regulations such as the Payment Card Industry Data Security Standard (PCI-DSS).
- Signature-based
Compares network traffic to known signatures to identify malicious activity. This method is effective for detecting known attacks, but it can’t detect new attacks.
- Anomaly-based
Uses machine learning to create a model of normal activity and compares new behavior against it. This method can detect new attacks, but it can also produce false positives.
- Network intrusion detection system (NIDS)
Monitors networks for malicious activity, such as policy violations, data exfiltration, and lateral movement.
- Perimeter intrusion detection system (PIDS)
Detects intrusion attempts at the perimeter of an organization’s critical infrastructure.
- Virtual machine-based intrusion detection system (VMIDS)
Monitors virtual machines to detect intrusions.
- Stack-based intrusion detection system (SBIDS)Integrated into an organization’s Transmission Control Protocol/Internet Protocol (TCP/IP).

Crafting a Tailored Security Strategy
Based on our findings, we develop a comprehensive strategic security framework tailored to your unique needs. This plan includes actionable recommendations, technology roadmaps, and priority areas to address potential weaknesses while supporting long-term resilience.

Implementing Solutions for Stronger Protection
During the execution phase, we provide end-to-end support for the implementation of security measures. This includes deploying necessary technologies, configuring systems, and delivering training to empower your team with the skills and knowledge to maintain a strong security posture.

Ensuring Continuous Security Improvement
Cybersecurity is a continuous journey. Our experts work with you to monitor your security environment, refine strategies, and adapt to emerging threats. We help you implement ongoing improvements to ensure your defenses remain robust and effective.
Take the First Step Toward Enhanced Cybersecurity
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Cybersecurity Consulting in Action
“IDS security consulting services” refers to professional advice and expertise provided by a security firm specializing in Intrusion Detection Systems (IDS), helping organizations assess, design, implement, and manage their network security by identifying potential malicious activity through monitoring network traffic and analyzing suspicious patterns, ultimately aiming to protect critical data and systems from cyber threats.
- Assessment and analysis:
Evaluating an organization’s existing network infrastructure to identify vulnerabilities and determine the best placement for IDS sensors.
- IDS technology selection:
Recommending suitable IDS solutions based on network size, complexity, and specific security needs.
- Deployment and configuration:
Installing and configuring IDS sensors across the network, defining detection rules and thresholds for alerts.
- Alert monitoring and response:
Establishing procedures to investigate and respond effectively to security alerts generated by the IDS.
- Incident investigation:
Analyzing suspicious activity detected by the IDS to determine the root cause of potential security breaches.
- Compliance support:
Assisting organizations in meeting industry regulations regarding network security by leveraging IDS capabilities.
- Enhanced threat detection:
Proactive identification of potential cyber attacks before significant damage occurs.
- Improved security posture:
A more robust network defense strategy with continuous monitoring and analysis.
- Reduced risk of data breaches:
Early warning of suspicious activity allowing for timely mitigation measures.
- Optimized security operations:Efficient incident response and investigation capabilities.
McKesson Healthcare, for 2024, reported revenues of $309 billion and employed approximately 51,000 people. McKesson partnered with IBM to develop the McKesson Performance Advisor (MPA), a clinical-based, business predictive analytics/intelligence software solution.
Harvard Pilgrim Health Care (HPHC), as of 2023 reported annual revenues of approximately $2.23 billion, aimed to enhance the CASR II Datawarehouse with a Strategic End-to End Assessment. This project established the strategy and comprehensive requirements the CIO needed to define, develop, and operationalize all business and technical procedures to ensure end-to-end reliability and recoverability of data exchange and integration.
Biogen, a leading biotechnology company, As of 2023, Biogen reported annual revenues of approximately $9.836 billion with about 7500 employees, aimed to enhance its Commercial IT data warehouses to improve data management, reporting capabilities, and overall operational efficiency to support the Asia-Pacific (APAC) region and the US business unit.