VAPT is the art of identifying flaws in an organization and exploiting them in legal ways to know the level of impact or compromise an organization might face if it was too late!

Our vulnerability assessment and penetration testing service help businesses to perform security audit along with identification of flaws and threats they may fall prey to.

Apart from the traditional methods of scanning and exploiting known vulnerabilities, TeleNetworks study your business model and try to find and exploit it with custom tools at different levels.

The threats imposed by the devices of end users are growing day by day. Hence, securing these devices to prevent a possible breach is must for organizations. The connection of laptops, tablets, mobile phones and other wireless devices to corporate networks creates attack paths for security threats. Introduction and adoption of concepts like BYOD result in a heavy toll to be paid in terms of security compromise.

Endpoint security solutions provide means in form of compliances or guidelines on usage and configuration of such devices to ensure that such device may not be a threat to the organization’s network.

Endpoint security have gone far away from just scanning the files and folders running on a device to next generation antivirus, DLP and AI integration for track of user or application activities on a device. It basically involves measures like VPN client for users to connect to organization’s network, hardened and periodically patched OS and update endpoint agents. Endpoint security solutions mostly involve a client-server architecture and is also available as SaaS.

With the use of ML algorithms, it has become easy to correlate data and events and be prepared for any notorious activities.

API security involves measures to secure the API codes. APIs are built to facilitate communication between two applications. The most widely used form of APIs are RESTful APIs which use HTTP methods for transfer of data and support Transport Layer Security (TLS) encryption. However, with the rise of APIs also comes the potential for more security holes, meaning coders need to understand the risk to keep corporate and customer data safe.

These APIs become more vulnerable when they’re used for communication between two applications over the Internet. Their main motive is transfer data which is in JSON format. Protection of such mission critical data over the Internet is crucial for organizations.

Secure an API/system just how secure it needs to be. Every time you make the solution more complex unnecessarily, you are also likely to leave some back holes. Keeping this in mind, below are some ways to strengthen security of your API:

    1. Use of tokens
    2. Use of encryption techniques
    3. Digital signatures
    4. Setting threshold levels
    5. Assigning quotas
    6. Use of API gateway

The worldwide public cloud services market is forecast to grow 17% in 2020 to total $266.4 billion, up from $227.8 billion in 2019 according to Gartner. As the cloud continues to be more and more heavily adopted, it’s important to be aware of the challenge organizations face while leveraging cloud computing.

Most common threats to a cloud platform are data breaches, misconfiguration and inadequate change control, lack of cloud security architecture and strategy, insufficient identity, credential, access and key management along with insecure interfaces and APIs, weak control plane and metastructure and appistructure failures. All this probably leads to loss of reputation and trust of customers or partners.

A typical cloud security solution focuses on effective risk-based vulnerability management by observing and prioritizing events based on the activities of user as well as application. This step varies with the implementation of cloud been used like IaaS where the customer would be held more responsible for protection of cloud as compare to SaaS or PaaS where the service provider is responsible for securing their client.

Before proceeding with any analysis, one need to accurately record the relevant information. Document what happened, when it happened, why it happened, who was involved and how much was lost. As you track incidents, you generate more data and this data needs to be correlated with proper methods to analyze it further.

The process of analyzing data becomes more and more difficult and complex as the size of data set increases. It is not convenient for humans to analyze such large and complex data sets. Solution to this problem is a data analyzing engine which can correlate data, eliminate unwanted or least priority data so that we can focus on the critical data which would lead us to proper resolutions for incidents.

With the help of machine learning and AI algorithms, we can build advanced engines which can filter out data and extra only the required part to narrow  the stream for more accurate analysis and quick resolution.

Like the way, every action has an equal and opposite reaction, the same way every event must have an equivalent response to counter an incident which have or may occur at first place. Most of the tools available in market focus on incident analysis and reporting like sending emails or push messages.

Response to an incident is more likely an action that is taken against the incident which may include change in firewall rules, restricting or blocking access, terminating a connection, etc. Most of the times incidents are identified and then reported to dashboards which then generates ticket which is assigned to an engineer and then the engineer performs actions. This work cycle is long enough for incidents to accomplish their goals successfully.

Imagine the other scenario wherein an engine observes an incident, identifies the threat and takes the counter action. This would save a lot of time and more importantly avoid a possible breach or failure which could have occurred otherwise. A software engine needs to be trained for such patterns and actions which would not involve human intervention. It involves training this engine with large data sets and giving the machine the ability to decide what actions are to be taken against whom, where and how.

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