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.
AV
AV
Prevents pre-execution
Prevention of ransomware, unknown, and zero-day threats pre-execution before the attack can exfiltrate data or encrypt systems.AV
Reactive machine learning
Relies on heuristics and behavioral analysis delaying decisions until after the threat has executed.<20ms decisions
Makes highly accurate malicious vs benign verdicts in <20ms for known and unknown threats without the need for threat intelligence feeds.AV
Minutes to hours
Relies 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.AV
Noisy
Known for high false positive rate leading to alert fatigue and lower SOC productivity.Always protected
Fully protected, online or offline, 24 x 7 x 365.AV
No offline support
Requires constant Internet connectivity to maintain average effectiveness.Stops >99% of unknowns
Intuitively understands if a file contains malicious content including potentially unwanted applications (PUA) to prevent unknown threats.AV
Misses unknowns
Requires constant model updates delaying decisions and reducing accuracy. Must “detonate suspicious files” in an advanced sandbox to tell you if they are bad.Innovative
Understands the true DNA of attacks. Deep Instinct neural networks identify and prevent advanced, sophisticated attacks including adversarial AI.AV
Legacy
Not built to identify and stop fileless attacks like code injection or in-memory attacks. Not engineered to stop new ML-based attacks.Proactive deep learning
Natively built on the only deep learning-based cybersecurity framework specifically developed to prevent today’s complex unknown threats prior to execution — not after.AV
Reactive signature-based
Limited and retrofitted ML capabilities are not efficient for today’s challenges. Signature-based engines must be constantly updated to be effective.Lightweight
Single, lightweight agent with low CPU and memory consumption.AV
Resource intensive
Requires 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.
Improve SecOps.
Reduce false positives to focus on the most critical issues.