Abstract: A system and method for determining a resolution playbook for a cybersecurity incident is provided. The method includes applying a reasoning model to determine scores for a plurality of playbooks based on input data related to a root-cause of a cybersecurity incident, wherein the reasoning model includes a plurality of nodes of features and the plurality of playbooks arranged in a causal relationship; identifying a matching playbook based on the determined scores for the plurality of playbooks; and triggering execution of the matching playbook to resolve the cybersecurity incident.

Abstract: In some implementations, the device may include instantiating a plurality of agents configured to communicate with a plurality of security tools deployed in the organization, where each of the plurality security tools defends against a different type of cyber-incident. In addition, the device may include receiving, by an agent of the plurality of agents, an input request from a respective security tool, where the input request includes at least a traffic pattern; generating, by the agent, a prompt for an AI model based on at least the input request the prompt when processed by the AI model returns at least instructions to modify at least one security policy set with the security tool; and feeding, by the agent, the at least instructions to the security tool, where the at least instructions, when executed by the security tool, causes the security tool to modify each of the least one security policy in real-time.

Abstract: A system and method for defending against cyberattacks executed by one or more large language model (LLM)-powered agents presented. The method includes deploying one or more traps throughout a computing environment to protect at least one protected entity, wherein each trap of the one or more traps is designed to exploit one or more vulnerabilities of a LLM contained within an LLM-powered agent; monitoring, in real-time, a plurality of interactions with the deployed traps; detecting, based on the monitored plurality of interactions, interaction behavior consistent with that of at least one LLM-powered agent of the one or more LLM-powered agents; and responsive to the detection, causing one or more of the deployed traps to initiate one or more defensive actions.

Abstract: A method and system for mitigating encrypted distributed denial of service (DDOS) attacks comprising: receiving a detection of an encrypted DDOS attack from an encrypted transaction related traffic, wherein the encrypted DDOS attack is associated with a plurality of transport layer security (TLS) fingerprints (FPs); classifying each of the plurality of TLS FPs as a type of FP based on a comparison of rate-invariant values to a native FP baseline, wherein the rate-invariant values are associated with the plurality of TLS FPs; selecting anomalous FPs as a subset of the plurality of TLS FPs; generating a real time signature (RTS), for the encrypted DDOS attack, having at least one unknown type of FP of the subset of anomalous FPs; and mitigating the encrypted DDOS attack based on the generated RTS.

Abstract: A method and system for mitigating encrypted distributed denial of service (DDoS) attacks comprising: receiving a detection of an encrypted DDoS attack from an encrypted transaction related traffic, wherein the encrypted DDoS attack is associated with a plurality of transport layer security (TLS) fingerprints (FPs); classifying each of the plurality of TLS FPs as a type of FP based on a comparison of rate-invariant values to a native FP baseline, wherein the rate-invariant values are associated with the plurality of TLS FPS; selecting anomalous FPs as a subset of the plurality of TLS FPs; generating a real time signature (RTS), for the encrypted DDoS attack, having at least one unknown type of FP of the subset of anomalous FPs; and mitigating the encrypted DDoS attack based on the generated RTS.

Abstract: A method and system for detecting and mitigation a cyber-attack scanner are provided. The method includes determining if a source network address designated in a received packet is suspicious as of a cyber-attack scanner, wherein the determination is based on a likelihood that the source address was previously frequently encountered; upon determining that the source network address is suspicious, determining diversity of destination network addresses sent by a source having the suspicious network address; and upon determining that the destination network addresses are diversified, generating an alarm indicating that a source network address is a cyber-attack scanner, wherein a cyber-attack scanner is a device to identify destination network addresses in a protected entity that be exploit for at least a cyber-attack scanner.

Abstract: A system and method for validating a domain name system (DNS) query using a DNS challenge. The method includes sending a response to a first source Internet protocol (IP) address, wherein the response has a modified domain name that includes a first token, the first source IP address, and an original domain name; determining receipt of a return query for the modified domain name, wherein the return query is received from a second source IP address; upon receipt of the return query, determining a second token for the return query by executing a function with respect to the first source IP address in the modified domain name; and validating the return query by comparing the first token and the determined second token, wherein the first token is extracted from the modified domain name of the return query.

Abstract: A method and system for detecting a denial of service (DoS) attack when packets used in the DoS attack are user datagram protocol (UDP) packets, are disclosed. The method includes obtaining values from an application header of a UDP packet; and when, based on use of at least one modified probabilistic Bloom filter (PMBF) for a destination to which the UDP packet indicates that it is destined, the obtained values are not values expected to be found in a UDP packet destined for the destination: increasing an uncommon per sample (ups) estimate for the PMBF; and when the increased uncommon per sample estimate is greater than an upper ups threshold: setting an alarm state to on; suspending update of the PMBF counters; and initiating a mitigation action at least with respect to the UDP packet.

Abstract: A device and method for configuring a web application firewall (WAF) based on characterization of web attacks are provided. The method includes receiving a plurality of hypertext transfer protocol transactions (HTTP) entities; tokenizing the received plurality of HTTP entities based on at least one delimiter; analyzing statistical distribution of each of the at least one delimiter in the tokenized HTTP entities; training a model based on an analysis of the tokenized HTTP entities, when a sufficient number of HTTP entities have been analyzed; and configuring, based on the trained model, the WAF with at least one detection rule to detect at least malicious HTTP transactions.

Abstract: The method and system for performing a completely automated public Turing test to tell computers and humans apart (CAPTCHA). The method comprises receiving by a server a request from a service server to initiate a CAPTCHA of a user node; generating an image of a path; generating at least one target to be placed upon the path; generating an object to be placed at a start point of the path; sending the generated path, the at least one generated target, and the object as a CAPTCHA challenge to the user node for display thereon; receiving, by the server, data respective of motion of the object with respect to the path and the at least one generated target; and issuing, based on analysis of the data received data, a pass indication upon determination that the user node is operative by a human.

Abstract: A method and system for detecting encrypted distributed denial of service (DDOS) attacks are provided. The system includes monitoring encrypted transactions related traffic; deriving from the encrypted transactions rate-based parameters and rate-invariant parameters, wherein the rate-based parameters and rate-invariant parameters are associated with transport layer security (TLS) fingerprints; comparing values of the rate-based parameters and the rate-invariant parameters respectively to at least one rate-based anomaly threshold and at least one rate-invariant anomaly threshold; and declaring a detected encrypted DDOS attack when both the rate-based anomaly threshold and the rate-invariant anomaly threshold are exceeded.

Abstract: An out-of-path defense platform protecting against excessive utilization of a cloud service providing a cloud hosted application comprising a controller communicatively coupled to a detector and a mitigator; wherein the detector receives telemetries from sources that are configured to collect telemetries related to the traffic between end user devices and an edge network that distributes traffic for the cloud hosted application, the telemetries being out-of-path information for traffic to and from the cloud-hosted application, wherein a portion of the telemetries relate to operation of a portion of a cloud computing platform hosting the cloud-hosted application, and detects, using the collected telemetries and a learned normal utilization behavior of each cloud service for the cloud-hosted application, excessive utilization of a cloud service by the cloud hosted application; and wherein the controller, upon detection of the excessive utilization, causes mitigation, by the mitigator, of the excessive utilizati

Abstract: A method and system for detecting a denial of service (DOS) attack when packets used in the DOS attack are user datagram protocol (UDP) packets, are disclosed. The method includes obtaining values from an application header of a UDP packet; and when, based on use of at least one modified probabilistic Bloom filter (PMBF) for a destination to which the UDP packet indicates that it is destined, the obtained values are not values expected to be found in a UDP packet destined for the destination: increasing an uncommon per sample (ups) estimate for the PMBF; and when the increased uncommon per sample estimate is greater than an upper ups threshold: setting an alarm state to on; suspending update of the PMBF counters; and initiating a mitigation action at least with respect to the UDP packet.

Abstract: A system and method for accelerating web content delivery are disclosed. The method includes capturing a request to access a webpage hosted by a web server, the request is initiated by a web browser; determining if there are resources in the requested webpage cached locally at a cache memory of the web browser; retrieving cached resources that are locally cached at the web browser; retrieving uncached resources from the web server; and rendering the webpage on the webpage from the cached resources and the uncached resources.

Abstract: Apparatus for filtering transactions transmitted from a source to a protected entity, comprising: a transaction filter enforcer which receives a layer 7 transaction destined for a protected application prior to the transaction possibly being supplied to the protected entity; and an evaluator receiving the transaction from the enforcer; the enforcer routing the transaction to the protected entity when the transaction does not receive a determination as being malicious from the evaluator; the evaluator including at least a model that determines a score indicative of the maliciousness of the transaction based on input from at least one trained model, the transaction being supplied to each of the at least one trained model, each of which is a model from a set of model types, the model types including an anomaly model and an attack model; the enforcer operating in real-time and the evaluator operating in at least near real-time.

Abstract: A method of characterization of requests using dynamic applicative signatures. The method comprises determining a plurality of different attributes of requests received during an on-going DDoS attack; clustering at least one attribute of the plurality of different attributes, wherein the clustering is based on values of the plurality of different attributes; obtaining at least one dynamic applicative signature characterizing operation of an application layer flood attack tool; matching the cluster of the at least one attribute to each of the at least one obtained dynamic applicative signature; and causing a mitigation action when there is a match to the at least one obtained dynamic applicative signature.

Abstract: A system and method for detecting document object model cross-site scripting (DOM-XSS) vulnerability. The method includes identifying at least one data flow in a client-side code, wherein each of the at least one data flow is between an attacker-controllable source and a security sensitive sink, wherein the client-side code includes a DOM representation of a web page; injecting an indicator string in the attacker-controllable source of the client-side code; executing an injected client-side code, wherein the injected client-side code includes the indicator string; detecting the indicator string in the security sensitive sink of the at least one data flow; and performing mitigation action upon detecting the indicator string.

Abstract: A method and system for detecting domain name system (DNS) recursive cyber-attacks are presented. The system includes learning a plurality of baselines of at least rates and rate invariants of DNS features; monitoring DNS traffic directed to and from a DNS resolver, wherein the DNS resolver is communicatively connected between at least one client and at least one name server; analyzing the monitored DNS traffic using at least one detection function to detect an anomaly based in part on at least one baseline of the plurality of learnt baselines; and upon detection of at least one anomaly, performing at least one mitigation action to filter out incoming DNS queries to a domain name under attack.

Abstract: Arrangements for controlling access to a protected entity include receiving a redirected request of the client to access the protected entity that was denied by the protected entity; granting, in response to the received redirected request, access tokens of a first type to the client; identifying a conversion transaction identifying a request to convert the first type of access tokens with access tokens of a second type, wherein the transaction designates at least the protected entity; converting, based on a determined conversion value, a first sum of the first type of access tokens into a second sum of the second type of access tokens wherein the conversion value is determined based on at least one access parameter; and granting the client access to the protected entity when the sum of the second type of access tokens is received as a payment from the protected entity.

Abstract: Arrangement for hardening cloud security policies of a cloud computing platform includes analyzing a plurality of permission usage maps, one for each cloud entity of a plurality of cloud entities included in the computing platform to discover at least one hardening gap, wherein each hardening gap is at least a difference between permissions granted and permissions used by one of the cloud entities, wherein each of the permission usage maps represents the permissions granted to a respective one of the cloud entities and the permissions used by that respective at least one of the cloud entities; for each discovered hardening gap, computing a risk score designating a potential risk reduction achieved by addressing the hardening gap; generating at least one hardening recommendation for the at least one hardening gap and its respective computed risk score; and applying the at least one hardening recommendation, thereby hardening the cloud computing platform.