Endpoint Detection and Response (EDR) tools have risen in popularity based on the belief they can stop and remediate most of the cybersecurity threats organizations face daily. But mounting evidence is painting a very different picture of EDR’s efficacy and protection abilities. During the same period EDR has become a mainstay of modern security postures, attacks have skyrocketed in frequency, severity, and success.
The threat landscape is getting demonstrably more hazardous. Between 2019 and 2020 we saw an 800% increase in ransomware attacks and Ponemon Research has indicated that 80% of successful breaches come from previously unknown malware and zero-day attacks. The tools that many organizations are using are not providing adequate protection from increasingly sophisticated attacks.
And if EDR tools alone were the answer to preventing ransomware and zero-day threats we would see attacks trending downward. Instead, despite billions in spending, we’re seeing them consistently rise.
Read the eBook: 8 Reasons Why EDR is not Enough to learn why EDR tools are not the answer to defending against advanced attacks.
“Assume Breach” mentality is flawed
EDR is a reactive approach
EDR is not winning against ransomware
EDRs produce high false positives
ML weaknesses lower EDR’s efficacy – and can be exploited
EDR is only as good as its visibility across every endpoint
EDR blocks post-execution, it doesn’t prevent pre-execution
XDR only makes EDR less effective
Re-thinking Cyber Defense
EDR is based on an “assume breach” mentality – the long-held conventional thinking that no cyber defense can truly prevent cyber criminals from entering an environment. Detection and Response solutions like, EDR, MDR, NDR and XDR all have one thing in common – they are all based on post-execution remediation. By its very name, EDR is only relevant once the attack has taken place. And this ultimately means that the attackers are inside your network and you can’t be sure you stopped the full context of the attack.
Post-execution is too late to prevent a breach and remediation is costly and time consuming – a point driven home by recent research testing the efficacy of 11 of the best-known EDR tools highlighting their inherent shortcomings. The growing sophistication of modern threats and the high number of successful breaches has proven that EDR is not enough to stop today’s increasingly advanced threats.
It’s time to redefine what threat prevention truly is and explore new technology based on deep learning that has made malware detection, classification, and prevention possible.
Stop Responding. Start Preventing.
Security teams recognize that their security capabilities are not protecting them from today’s most advanced threats and are actively investing in greater protection. Gartner forecasts that global security and risk management spending would exceed $150 billion in 2021. It likely surpassed that.
A prevention-first approach to stopping threats will complement or replace existing EDR solutions to mitigate risk. Preventing malware pre-execution and lowering false positives will improve operations, lower costs, and stop known, unknown, and zero-day threats, including ransomware, before they get the chance to infect your environment.
Download our latest eBook, 8 Reasons Why EDR is Not Enough, to understand why fresh thinking around EDR tools is overdue. And why deep learning-based cybersecurity holds the promise of true prevention, stopping >99% of threats and significantly lowering false positive alerts to <0.1%.
