Sysdig integrates machine learning to detect cryptojacking attempts
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Having the ability to detect and respond to threats in the shortest possible time is one of the most important capabilities a security team can have. The faster they can respond to a data breach, the lower the level of disruption and operational impact.
The problem is that this is easier said than done. Identifying malicious activity in the environment and initiating a response can be very difficult when relying on manual administrative approaches.
However, technologies such as AI and machine learning have the potential to accelerate companies' detection and response efforts.
Today at the Black Hat conference, Sysdig announced the launch of a new cloud detection and response (CDR) solution based on machine learning to defend against cryptojacking attempts.
Sysdig's announcement identifies machine learning as a critical technology that enterprises and decision makers can turn to more broadly to accelerate their vulnerability detection and mitigation efforts.
Become familiar with cryptojackingAlthough the cryptocurrency market has seen significant shocks in recent months, malicious crypto mining remains a serious threat, with the volume of cryptojacking attacks increasing by 30% to 66.7 million between January and June 2022.
Cryptojacking presents unique challenges for enterprise security teams, as cybercriminals will seek to hijack a target's computing resources with malware to mine cryptocurrency, while also trying to remain undetected long as possible. The longer they remain undetected, the greater the financial benefit of the attack.
Despite these attempts to avoid detection, technologies such as machine learning have the potential to quickly detect and respond to cryptojacking attempts in decentralized cloud environments.
"Sysdig provides real-time visibility at scale to manage risk across containers and multiple clouds, eliminating security blind spots," said Daniella Pontes, Senior Product Marketing Manager at Sysdig.
"We use context to prioritize security alerts so teams can focus on high-impact security events and improve efficiency. By understanding the entire source to execution flow and suggesting a guided fix, we're reducing the time to fix,” Pones said.
Essentially, Sysdig's ML-based solution enables security teams to identify and prioritize remediation of vulnerabilities and software anomalies before it's too late.
The solution works using a targeted ML model specially trained to recognize cryptominer behavior running in containers, providing deep container visibility and the ability to analyze process activity and other behaviors of the system.
It's an approach that the organization is so effective at claiming its threat engine and detection algorithms block cryptojacking attempts with 99% accuracy.
A Look at the Cloud Security Posture Management MarketSysdig is one of the biggest competitors in the cloud security posture management (CSPM) market, which researchers predict will grow from a value of $4.2 billion in 2022 to a total of $8.6 billion by 2027.
One of Sysdig's main competitors in the market is CrowdStrike, which recently announced that it raised $1.45 billion in
Couldn't attend Transform 2022? Check out all the summit sessions in our on-demand library now! Look here.
Having the ability to detect and respond to threats in the shortest possible time is one of the most important capabilities a security team can have. The faster they can respond to a data breach, the lower the level of disruption and operational impact.
The problem is that this is easier said than done. Identifying malicious activity in the environment and initiating a response can be very difficult when relying on manual administrative approaches.
However, technologies such as AI and machine learning have the potential to accelerate companies' detection and response efforts.
Today at the Black Hat conference, Sysdig announced the launch of a new cloud detection and response (CDR) solution based on machine learning to defend against cryptojacking attempts.
Sysdig's announcement identifies machine learning as a critical technology that enterprises and decision makers can turn to more broadly to accelerate their vulnerability detection and mitigation efforts.
Become familiar with cryptojackingAlthough the cryptocurrency market has seen significant shocks in recent months, malicious crypto mining remains a serious threat, with the volume of cryptojacking attacks increasing by 30% to 66.7 million between January and June 2022.
Cryptojacking presents unique challenges for enterprise security teams, as cybercriminals will seek to hijack a target's computing resources with malware to mine cryptocurrency, while also trying to remain undetected long as possible. The longer they remain undetected, the greater the financial benefit of the attack.
Despite these attempts to avoid detection, technologies such as machine learning have the potential to quickly detect and respond to cryptojacking attempts in decentralized cloud environments.
"Sysdig provides real-time visibility at scale to manage risk across containers and multiple clouds, eliminating security blind spots," said Daniella Pontes, Senior Product Marketing Manager at Sysdig.
"We use context to prioritize security alerts so teams can focus on high-impact security events and improve efficiency. By understanding the entire source to execution flow and suggesting a guided fix, we're reducing the time to fix,” Pones said.
Essentially, Sysdig's ML-based solution enables security teams to identify and prioritize remediation of vulnerabilities and software anomalies before it's too late.
The solution works using a targeted ML model specially trained to recognize cryptominer behavior running in containers, providing deep container visibility and the ability to analyze process activity and other behaviors of the system.
It's an approach that the organization is so effective at claiming its threat engine and detection algorithms block cryptojacking attempts with 99% accuracy.
A Look at the Cloud Security Posture Management MarketSysdig is one of the biggest competitors in the cloud security posture management (CSPM) market, which researchers predict will grow from a value of $4.2 billion in 2022 to a total of $8.6 billion by 2027.
One of Sysdig's main competitors in the market is CrowdStrike, which recently announced that it raised $1.45 billion in
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