Attivo deception provides immediate value by providing “eyes inside the network” visibility and accurate detection alerting based upon decoy engagement or attempts to use deception credentials, most notably early in the attack cycle.
For years, attackers have successfully used deception tactics for breaching networks. They masquerade as legitimate employees, using stolen credentials and deceptive measures to infiltrate a network, all while remaining undetected for lengthy dwell times. Security teams are challenged in that they have to be successful 100% of the time, whereas an attacker only has to get lucky once. It’s now time to turn the tables on attackers and use deception against them. Outwitting an adversary is rarely accomplished without a balance of defensive and offensive measures
Deception brings the offense into the realm of cybersecurity with the ability to deceive and misdirect an attacker into revealing themselves. All, without false positive alert fatigue and the burden of operational overhead associated with traditional detection methods. Attivo stands apart in that the company uniquely empowers organizations with capabilities they cannot achieve with other security controls: the capacity to outmaneuver the attacker, force them to execute flawlessly, and ultimately derail their efforts using their beloved approach of deception.
Deception is not just a fancy honeypot. Honeypots were first introduced in the 80’s and served as a useful function for understanding who was attacking an organization from outside the network. Commercial deception technology has come a very long way in evolving the technology to now serve as a high-fidelity in-network detection control. Honeypot limitations associated with scale and operations are now removed through the use of virtualization and machine-learning automation for managing the creation, deployment, and operations of the deception environment. The Attivo Networks ThreatDefend takes deception even further and into the area of active defense, which incorporates automated attack analysis, forensics, and native integrations for accelerated incident response.
Attackers take their time, and assume they can move slowly through the network to avoid detection.
Attackers will move laterally inside the network and escalate privileges to reach critical assets.
Most attackers trust the information they steal is real and will act accordingly.
High interaction, authentic
decoys designed to attract
lateral movement, whether on-premises or in the cloud.
Credentials, user data, and mapped
shares attract and
breadcrumb attackers into
quickly revealing attacks
environments that appear as
such as SWIFT, web
services, print services, cloud storage buckets, serverless functions, or container apps.
Plant deceptive files, cloud access tokens, or other data elements to gain
a better understanding of
areas being targeted for
theft and geolocation