Home News Is Traffic Mirroring for NDR Worth the Trouble? We Argue It Isn’t

    Is Traffic Mirroring for NDR Worth the Trouble? We Argue It Isn’t


    Community Detection & Response (NDR) is an rising expertise developed to shut the blind safety spots left by standard safety options, which hackers exploited to achieve a foothold in goal networks.

    These days, enterprises are utilizing a plethora of safety options to guard their community from cyber threats. Probably the most distinguished ones are Firewalls, IPS/IDS, SIEM, EDR, and XDR (which mixes the performance of EDR and SIEM). Nonetheless, all these options undergo from safety gaps that forestall them from stopping superior cyber-attacks effectively.

    NDR was developed based mostly on Intrusion Detection System (IDS). An IDS answer is put in on the community perimeter and screens the community site visitors for suspicious actions.

    IDS methods undergo from many downsides that make them inefficient in stopping trendy cyber-attacks: IDS use signature-based detection strategies to find irregular actions, making them unable to identify unknown assaults.

    As well as, IDS methods set off numerous safety alerts. This leads to losing safety group time and making them unable to analyze all safety alerts. And at last, IDS was not constructed to offer any response or investigation capabilities, making it unable to reply effectively to ongoing cyberattacks.

    Community Detection & Response to extract data from community site visitors

    NDR was the response to mitigate the downsides that IDS methods fail to guard. NDR methods transcend signature-based detection and analyze all community site visitors coming inside or exiting the community and create a baseline of regular community exercise. The baseline is used later to match present site visitors with common community exercise to detect suspicious behaviors.

    NDR options make the most of superior applied sciences to detect rising and unknown threats, comparable to Machine Studying and Synthetic Intelligence (AI). Utilizing these applied sciences permits NDR methods to transform data gathered from community site visitors into actionable intelligence used to detect and cease unknown cyber threats.

    An NDR answer can run mechanically impartial of human supervision to detect cyber threats and reply to them. NDR may combine with present safety options comparable to SIEM and SOAR for enhanced detection and response.

    Conventional NDRs flaws in dealing with encryption and the rising quantity of knowledge

    Up till now, NDRs relied on site visitors mirroring, sometimes mixed with {hardware} sensors to extract the data – similar to how IDS used to do it. Nonetheless, there are three game-changers more and more difficult this strategy:

    1. A big share of web site visitors is encrypted, in response to the Google Transparency Report, already 90% of the online site visitors. Due to this fact, the standard site visitors mirroring can’t longer extract data from payload and is thus dropping its effectiveness.
    2. Growing bandwidths and new networking applied sciences, making site visitors mirroring costly and even infeasible.
    3. A shift in the direction of extremely distributed hybrid networks the place merely analyzing site visitors on one or two core switches is not sufficient. Many assortment factors should be monitored, which makes site visitors mirroring-based options much more costly to function.

    Taking these developments under consideration, mirroring networks shouldn’t be a future-oriented answer for securing networks anymore.

    ExeonTrace: A trusted future-proof NDR answer

    ExeonTrace doesn’t require mirroring the community site visitors to detect threats and decrypt encrypted site visitors; it makes use of algorithms that do not function on payload, however on lightweight community log information exported from an present community infrastructure through NetFlow.

    This allows it to analyse metadata passing by means of the community at many assortment factors to find covert communication channels employed by superior menace actors, comparable to APT and ransomware assaults.

    NetFlow is an open normal that allows networking gadgets (e.g., routers, switches, or firewalls) to export metadata of all connections passing by means of them (bodily community, virtualised surroundings, and personal cloud surroundings – or what is called north-south and east-west monitoring functionality). Thus, this strategy is perfect for distributed networks which embody cloud environments as nicely.

    ExeonTrace answer supplies complete visibility over your complete IT surroundings, together with related cloud providers, shadow IT gadgets, and might detect non-malware assaults comparable to insider threats, credential abuse, and information exfiltration. The entire community visibility will make it possible to examine all community site visitors coming into or leaving your enterprise community.

    ExeonTrace won’t cease right here, as it’s going to monitor all inside interactions between all gadgets throughout your enterprise community, to detect superior menace actors hiding in your networks, comparable to APT and Ransomware.

    ExeonTrace’s utilisation of supervised and unsupervised Machine Studying fashions permits it to detect non-malware threats, comparable to insider menace, lateral motion, information leakage, and inside reconnaissance. ExeonTrace additionally permits the addition of network-based customized rulesets to confirm all customers are adhering to the applied safety insurance policies (e.g., stopping customers from utilizing explicit protocols). On prime, ExeonTrace can combine with accessible menace feeds or use a customer-specific menace feed to detect recognized threats.


    NDR methods have change into a necessity to cease the ever-increasing variety of cyberattacks. Conventional NDR options must mirror the entire community site visitors although to analyse packet payloads, which is not efficient in stopping trendy cyber threats that leverage encryption to hide their actions. As well as, mirroring the entire community site visitors is turning into more and more inconvenient, particularly with the huge rise of knowledge quantity passing by means of company networks. A future-proof NDR like ExeonTrace that depends on the evaluation of metadata permits to mitigate these downsides – and will due to this fact be the imply of selection to guard company networks effectively and successfully.

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