Organizations need to be constantly vigilant against security breaches and having a robust incident response plan in place is vital. A proactive approach that strategizes before, during and after a potential breach enables your organization to make the most informed decisions to defend it. Kryptos is your digital twin to diagnose threats and ensure safety
The first line of defence is to be prepared with a list of solid incident response procedures so organizations can avoid operating in a crisis mode. Kryptos implements a well-planned incident response and threat intelligence system, so you can identify any potential threats before they strike.
Attacks and lapses do happen even after having a tight grip on the security environment. In such cases, the ability to rapidly investigate and resolve quickly, is utmost needed. Kryptos Security services will help you assess the situation — and minimize the damage — with incident responders, forensic analysis, malware analysis, threat assessments and more.
Once a breach is identified and contained, and the worst is over, the recovery work is just beginning. Kryptos’ Incident response and intelligence services will help your organization continue to monitor affected systems and incorporate what has been learned into the preparation strategy, so your assets are protected from another attack.
A cyber threat intelligence system uses machine learning to automate data collection and processing, and integrate with your existing support and administrative applications.
Threat intelligence is often broken down into three subcategories:
Kryptos Threat intelligence is actionable the reports are timely, provides context, and is able to be understood by the people in charge of making decisions, and also provides the team to be more tactical so they perform the necessary actions and follow relevant procedures to prevent the next attack.
The threat intelligence is an end product of a six-part cycle of data collection, processing, and analysis.
In this cycle new queries and gaps in knowledge are identified while assimilating data and developing intelligence, which subsequently leads to new requirements collection, making the whole process an iterative intelligence program, and becomes refined each time a cycle is processed.
