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Intelligent Deception and #CyberSecurity | @CloudExpo #AI #ML #DL #Analytics
In this climate of confusion, deception-based solutions offer a viable and proven way to stop attackers in their tracks
By: Doron Kolton
Feb. 23, 2017 03:15 AM
Top 5 Reasons Why Security Teams Love Intelligent Deception
Cyberattacks are relentless. The pace of attacks shows no sign of slowing, and organizations understand that 100 percent prevention of attacks is not possible. Traditional prevention and detection techniques are falling short, and security professionals are scrambling for new paradigms that can more effectively detect attacks and mitigate the growing levels of damage.
In this climate of confusion, deception-based solutions offer a viable and proven way to stop attackers in their tracks. Why? Because instead of sitting back and waiting to be the victim, detection technologies let organizations be proactive and take the attack to the attacker. We've compiled a list of top five reasons why more security teams are opting for deception:
1. Malware Agnostic
Deception, on the other hand, is a defense paradigm that's completely attack-agnostic. There's no need to define which specifically "irregular" attack is underway. Operating under the assumption that attackers have already breached the network, deception solutions set traps, lures and fake data to detect and stop human and machine attackers.
With intelligent deception technologies, the malicious nature of a particular software or user is determined when they trigger a trap. Once an intruder is detected, the deception layer sends an alert to the security team while profiling the threat. Using this approach, organizations can significantly shorten breach-to-resolution time and get a higher ROI dealing with accurate incidents.
2. Attack Interference
3. Enriched Threat Intelligence
By combining data from decoys, traps, traffic analysis and other active detection tools, deception platforms can feed and enrich SIEM/SOC systems to help organizations build comprehensive threat maps using real data in real time. The threat intelligence and visibility generated by drawing the attacker in rather than simply repulsing the attack enables an understanding of the attacker's goals - preventing not only this attack, but also future attacks. This is how organizations can take the attack to the attacker.
4. Minimizes False Positives
Deception solutions offer relief from this labor-intensive paradigm. Decoys trigger a low number of false positives because legitimate traffic shouldn't go near them in the first place. False positives are further reduced via higher levels of interaction between the decoy and the attacker and by correlating findings with other sensors in the network. Furthermore, advanced intelligent deception platforms that have integrated traffic analysis capabilities run internal correlation of data from both the deception and monitoring layers to ensure even higher alert accuracy. With far fewer false alarms, the security team can avoid configuration and management distractions and concentrate on real incidents.
5. Easy to Deploy & Manage
The Bottom Line
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