Prevent >99% of Unknown
Threats in <20ms.
Replace your legacy and next-generation anti-virus (NGAV) tools to prevent ransomware and unknown threats faster and with greater accuracy while reducing false-positives and alerts.
Replace traditional AV.
True prevention without signatures.
Traditional AV solutions like Symantec, McAfee, BitDefender, TrendMicro, Kaspersky, and others have not evolved to protect you from unknown threats. Deep Instinct delivers on what others have been promising for decades – true prevention-first protection by stopping >99% of both known and unknown threats, pre-execution.
Prevent ransomware and zero-day threats (pre-execution)
Traditional AV and NGAV solutions will not protect you against zero-day threats. Thousands of new ransomware families and unknown malware are released into the wild daily and your traditional AV security can’t stop them. Deep Instinct prevents ransomware and unknown attacks pre-execution in <20ms.
Speed and scale without constant tuning
Traditional AV solutions are not engineered to prevent unknown attacks – they use signature-based and machine learning (ML) models that require constant human intervention and tuning of models to be effective. Deep Instinct prevents >99% of known and unknown threats without cloud checks or constant updates.
SOC productivity with low false positives
AV solutions are notoriously noisy and prone to false positives. Deep Instinct's <0.1% false positive rate, ensures that security teams are not chasing false flags while real threats bypass controls.
Step into the future with Deep Instinct’s state-of-the-art anti-malware prevention solution.
Prevents pre-executionPrevention of ransomware, unknown, and zero-day threats pre-execution before the attack can exfiltrate data or encrypt systems.
Reactive machine learningRelies on heuristics and behavioral analysis delaying decisions until after the threat has executed.
<20ms decisionsMakes highly accurate malicious vs benign verdicts in <20ms for known and unknown threats without the need for threat intelligence feeds.
Minutes to hoursRelies on cloud checks for signatures and threat intel, making it slow to react to known threats — and will not catch unknown threats.
<0.1%Industry’s lowest false positive rate (<0.1%) — increasing operational efficiency.
NoisyKnown for high false positive rate leading to alert fatigue and lower SOC productivity.
Always protectedFully protected, online or offline, 24 x 7 x 365.
No offline supportRequires constant Internet connectivity to maintain average effectiveness.
Stops >99% of unknownsIntuitively understands if a file contains malicious content including potentially unwanted applications (PUA) to prevent unknown threats.
Misses unknownsRequires constant model updates delaying decisions and reducing accuracy. Must “detonate suspicious files” in an advanced sandbox to tell you if they are bad.
InnovativeUnderstands the true DNA of attacks. Deep Instinct neural networks identify and prevent advanced, sophisticated attacks including adversarial AI.
LegacyNot built to identify and stop fileless attacks like code injection or in-memory attacks. Not engineered to stop new ML-based attacks.
Proactive deep learningNatively built on the only deep learning-based cybersecurity framework specifically developed to prevent today’s complex unknown threats prior to execution — not after.
Reactive signature-basedLimited and retrofitted ML capabilities are not efficient for today’s challenges. Signature-based engines must be constantly updated to be effective.
LightweightSingle, lightweight agent with low CPU and memory consumption.
Resource intensiveRequires multiple agents and modules, high CPU, and memory.
Stop ransomware pre-execution.
Avoid data exfiltration and extortion demands.
Prevent unknown threats.
Lower risk and avoid downstream costs for remediation.
Reduce false positives to focus on the most critical issues.