Darktrace for Ransomware
Organizations continue to be caught off-guard by advanced ransomware attacks. Autonomous Response stops ransomware without disrupting normal business operations.
The sheer speed at which ransomware spreads through an organization forces security teams to take drastic and heavy-handed action to stop threats – often with broad-ranging and serious implications.
As digital infrastructures become more interconnected, the knock-on effects of ransomware will continue to worsen. It’s time to shift to a proportionate response strategy – stopping the attack, while allowing your business to operate as it should.
Proportionate Autonomous Response for ransomware
Self-Learning AI is the only technology in the world that autonomously fights ransomware – without disrupting normal business operations.
It works by learning the normal ‘patterns of life’ for the organization – including its users, devices and servers – and identifies ransomware attacks within seconds, as they deviate from this norm.
Critically, Self-Learning AI takes targeted action to neutralize the ransomware, ensuring that an organization’s response is proportionate and doesn’t incur damaging and unintended knock-on effects.
With proportionate Autonomous Response, organizations can build cyber resilience to fight back against the full range of machine-speed attacks – wherever they strike.
Defending critical infrastructure
Ransomware attacks are increasingly spilling over from IT systems into OT environments, and in the face of threats specifically targeted towards Industrial Control Systems, such as the EKANS ransomware, critical infrastructure is at greater risk than ever.
The Industrial Immune System understands the connection between malicious activity in IT systems and behavior in OT systems – making it capable of stopping cyber-threats no matter where they hit the organization.
Darktrace for Email: Stopping ransomware at the source
Many ransomware attacks originate via email platforms, easily bypassing traditional email security which relies on rules and signatures.
With the power of Self-Learning AI, Darktrace for Email builds a deep understanding of the unique human behind the email address. It responds autonomously and proportionately to stop threats – whether that means holding back the email entirely, locking a link, or converting attachments to a harmless file type.
This blog explores a real-world ‘double extortion’ ransomware attack revealed by Darktrace AI in a customer environment. Despite exploiting common tools and using a compromised admin credential, the attack was identified due to its subtle anomalies, and Cyber AI Analyst launched a full automatic investigation into the incident.
Join Mohandoss Tychicus (CIO, AIDS Healthcare Foundation), Mike Beck (Global CISO, Darktrace), and Dave Palmer (Chief Product Officer, Darktrace) for a discussion on how Self-Learning AI helps organizations identify novel attacks and respond proportionately to ransomware allowing business operations to continue.
In the immediate aftermath of a ransomware attack, executives are too often placed in an untenable position, faced with impossible decisions: either pay a ransom, or shut down critical systems and services. Today, as we rely on digital services and supply chains more heavily than ever before, the collateral damage that ensues from ransomware attacks can be broad-ranging and destructive, with organizations taking days, weeks or even months to recover.
But what if there was another way out — a way for businesses to reclaim control, and change the outcome of a ransomware attack?