Is Microsoft Defender Enough?
Prevent today’s most advanced attacks, including ransomware and fileless malware, with the combination of Microsoft Defender and Deep Instinct.
Closing the Gap
The power to prevent, the intelligence to quickly respond.
Deep Instinct's prevention-first approach to stopping unknown threats and ransomware, combined with Microsoft Defender’s investigation, forensics, and incident response capabilities, deliver a more complete solution for protecting endpoints against modern cyber threats.
Reduce the risk of ransomware and unknown attacks
One of the biggest threats organizations face today is ransomware. Deep Instinct prevents ransomware attacks from executing in <20ms. Together, Microsoft Defender + Deep Instinct reduce your risk, both online and offline, and lower your reliance on cloud-based intelligence.
Respond to threats faster & improve ROI
Machine learning-based solutions, like Microsoft Defender, are reactive, waiting until a threat executes to stop it. In the meantime, users may be interacting with malicious files. Deep Instinct provides proactive prevention, pre-execution, and when deployed with Microsoft Defender you get faster responses to threats with reduced complexity – and a combined return on investment of over 400%.
Optimize security operations
Our most precious resource is people, who are difficult to recruit and to retain. Deep Instinct’s <0.1% false positive rate guarantees only high-fidelity alerts are sent to Microsoft Defender. The result? Your team’s workload is reduced, and they have more time to focus on the most critical and interesting work, improving your overall operations.
Complete your endpoint security stack with a powerful
combination of Prevention + Investigation & Response.
Prevention-firstPrevention of ransomware, zero-day & unknown threats in <20ms, pre-execution
Detection-firstPost-execution detection of threats that relies on controlling access to folders, which is subject to bypass once ransomware is resident
Ransomware is prevented before it gains a foothold and attacker dwell time is minimized
Proactive Deep LearningAccurately prevents >99% of unknown threats and reduces false positives to <0.1%
Reactive Machine LearningRelies on heuristics and behavioral analysis delaying decisions until after the threat has executed
Active threats are effectively eliminated through prevention and complete attack chain visibility
AutonomousQuickly makes malicious vs benign decisions on the local endpoint without cloud and threat intel feeds
Cloud-dependentRequires cloud-based engines for reputation and threat intel resulting in latency and delayed decisions
Less reliance on cloud expedites malicious vs benign decisions to prevent known & unknown threats early in the attack lifecycle
LowConsumes <1% CPU while actively preventing unknown threats
HighKnown for heavy system footprint (>20%) while processing malware
CPU consumption goes down and overall resource requirements are reduced
OfflineProtect systems even while offline
Online onlyMust be connected to provide services
Offline protection of known and unknown threats closes connectivity gap and improves efficacy
LowEarly prevention reduces raw telemetry
HighPresents comprehensive attack data that takes time to break down
Event management is simplified by reducing the amount of attack data to sift through
High FidelitySends only high-fidelity prevented events and saves the SOC team time with fewer overall alerts
AutomatedCorrelates attack data, reveals campaigns, and automates responses
Investigation and response times are vastly improved, and the associated costs are lowered
Stop Ransomware Pre-execution.
Avoid data exfiltration and extortion demands
Prevent Unknown Threats.
Lower downstream cost for Incident Response & Remediation
Free up SOC teams to focus on the most critical issues