The cybersecurity threat landscape is continuously evolving, with the frequency and impacts of threats like malware and ransomware increasing every year. Today, organizations of all sizes and in every industry sector must be proactively searching for emerging threats and actively monitoring risk to protect themselves – and respond quickly in the event that a threat is identified.
At CrowdStrike, we believe that rigorous, independent testing is a vital part of the security ecosystem. It provides customers with transparency and insight into the critical capabilities required to stop today’s sophisticated threats. That’s why I’m excited to share the results of Round 4 of the MITRE Engenuity ATT&CK Enterprise Evaluation: The CrowdStrike Falcon platform stops breaches with 100% prevention, comprehensive visibility and actionable alerts.
On March 22, the hacking group Lapsus$ published a Twitter post with a number of screenshots taken from a computer showing “superuser/admin” access to various systems at authentication firm Okta that took place in January this year. Okta is a platform in the #1 platform in Identity-as-a-Service (IDaaS) category, which means that it manages access to internal and external systems with one login.
VPN tunnels are like shipping containers in that they are widely used (especially as the pandemic has moved more of the workforce to remote work), and they can be used to carry traffic for legitimate as well as malicious purposes. Establishing a tunnel between corporate offices, remote workers, or partners to transfer data is a legitimate and common use for VPNs.
The cybersecurity community uses the term Advanced Persistent Threats to refer to threats that have extremely long persistence on a particular target—often lurking inside a target system for years. Their targets can include government agencies (at all levels), including contractors and suppliers far down the supply chain. Due to their passive nature, you may not even realize that your organization is a target for an APT. In fact, your infrastructure may already be infiltrated.
The cybersecurity landscape is shifting because it has to. The breadth of challenges facing defenders is vast and we are constantly reminded about how unpredictable security can be with zero-days such as the recent Log4Shell vulnerability. New tools and a community-based approach offer a way forward in the face of overwhelming complexity.
Machine learning (ML) detections are a powerful tool for detecting emerging threats when we don’t yet know what we’re looking for. The power of anomaly detection is the ability to detect and provide early warning on new threat activity for which rules, indicators, or signatures are not yet available.
