“We might see, hypothetically, that we’re good on protecting against ‘initial foothold’ with a particular type of malware, but we are not doing well in protecting data on a certain type of device from being exfiltrated. We can use that information to understand what we need to change. Maybe we see that we are preventing…
“It helps me provide detailed reports to the C-suite, the board, and auditors to create transparency around our return on investment as a corporate security function. There are still a lot of things that keep me up at night, but I am sleeping much better now than I did before we started working with AttackIQ.”
“When we are going to acquire a new company, we can use the AttackIQ platform in the due diligence process. Testing controls in the target company before the deal closes enables us to understand their security hygiene. Does it make sense to integrate our security systems, or should we plan on fully absorbing them into…
“The AttackIQ platform greatly accelerates the threat mitigation process. Instead of waiting a month for a penetration test to be completed, we can do it all in one combined workshop. It saves time and money. We saw the opportunity to automate and run all sorts of attacks and techniques through it. We knew we could…
“AttackIQ enables us to be more strategic with our security investments. What should we implement next to drive down risk? Automation is a smarter way of answering that question than manual pen testing because it reduces the cost of testing and increases the thoroughness of assessments. It plays a crucial role in our security investment…
“One of the other leading competitors had a vision of running tens of thousands of scenarios that are actual malware samples. That was a real pain for the people who had to resolve 20,000 alerts. And when you have that many different scenarios, you have to just look at the percentages. You might see 80%…
“We built 150 custom scenarios in total, which was easy to do in the AttackIQ platform. Then we created simulations to run against our systems. From that, we came to conclusions about how likely that particular ransomware actor was to succeed in an attack.”