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2023年4月14日 11:42 AM

LockBitの主張に関する声明を更新しました

Mike Beck, Chief Information Security Officer, Darktrace

Darktraceの内部システムに侵入したとする昨日のLockBitによるツイートを受け、徹底的なセキュリティ調査を完了しました。当社のシステムおよび関連する組織のシステムに侵害がなかったことを確認することができました。当社のお客様へのサービスは中断されることなく、通常通り運営が継続されており、これ以上の措置は必要ありません。

プレスリリース

2023年4月13日 9:30 AM

LockBitの主張に関する声明

今朝早く、Darktraceはサイバー犯罪集団 LockBit が Darktrace の内部セキュリティシステムに侵入し、当社のデータにアクセスしたとするツイートを確認しました。当社のセキュリティチームは、当社の内部システムの完全なレビューを実行しましたが、侵害の証拠は一切見当たりませんでした。LockBitによるソーシャルメディアへの投稿はいずれも、当社のデータに一切関連するものではありません。当社は引き続き状況を注意深く注視していきますが、現在の調査に基づき、当社のシステムは引き続き安全であり、すべての顧客データは完全に保護されていると確信しています。


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Leading Canadian Local Distribution Company Selects Darktrace

Energy+ Deploys Enterprise Immune System
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February 13, 2017

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Leading Canadian Local Distribution Company Selects Darktrace

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February 13, 2017

Darktrace, the leader in Enterprise Immune System technology, has today announced that Energy+ has deployed its self-learning technology into the core of its network.

Based in Ontario, Canada, Energy+ is a local distribution company that provides electricity to over 64,000 residential, business, industrial, and institutional customers, covering roughly 1,700 square kilometers of power lines. Energy+’s network oversees the company’s infrastructure, in addition to the sensitive information of thousands of stakeholders. As such, it needed a tool that could take a proactive approach to cyber security and provide complete visibility into the internal network.

Shortly after installing Darktrace inside the network, the technology alerted Energy+ to a serious anomaly. A user was spotted going to a malware site in Russia – an incident missed by every legacy tool in its existing security stack. Due to the effectiveness of the Enterprise Immune System, Energy+ was able to take immediate action, and mitigated the threat before any damage was done.

Powered by probabilistic mathematics and unsupervised machine learning developed by specialists from the University of Cambridge, Darktrace works by learning a ‘pattern of life’ for every network, device, and user.  Using this understanding of ‘self’, it can then detect potentially malicious anomalies at their nascent stages, in real-time – without the use of rules, signatures, or prior assumptions. Armed with the Enterprise Immune System, Energy+ now has complete visibility of its network, and enjoys greater confidence in its ability to respond to emerging threats, even in spite of a rapidly-evolving threat landscape.

Darktrace’s innovative machine learning approach means that our days of battling at the border are over,” commented Paul Martinello, Vice President of Information Technology, Energy+. “Before Darktrace, we had no way of preventing unknown threats, and we were taking a reactive approach to cyber defense. Now, the Enterprise Immune System secures our network from the inside out, allowing us to catch even the most sophisticated forms of threat at their earliest stages.”
In an ever-changing threat landscape, all Canadian companies are at risk for compromise,” commented David Masson, Country Manager for Canada, Darktrace. “We are happy to be supporting Energy+ in its initiative to take a proactive approach to cyber security in an effort to stay ahead of these sophisticated threats. By deploying the Enterprise Immune System, Energy+ is leading the way in terms of employing innovative machine learning for cyber defense.”

About Darktrace

About Darktrace

Darktrace is the world’s leading machine learning company for cyber security. Created by mathematicians from the University of Cambridge, the Enterprise Immune System uses AI algorithms to automatically detect and take action against cyber-threats within all types of networks, including physical, cloud and virtualized networks, as well as IoT and industrial control systems. A self-configuring platform, Darktrace requires no prior set-up, identifying advanced threats including zero-days, insiders and stealthy, silent attackers in real time. Headquartered in San Francisco and Cambridge, UK, Darktrace has 23 offices worldwide.

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