Cybersecurity Ventures has released its latest Cybersecurity 500 list, naming Haystax Technology as a top cybersecurity company for Q2 2017. Haystax is specifically recognized for its award-winning Haystax Analytics Platform™.
New SANS, Haystax Technology Insider Threat Survey Reveals Malicious Actors as the Most Damaging Threat Vector for Companies
Haystax Technology and SANS today released an industry survey titled “Defending Against the Wrong Enemy: 2017 SANS Insider Threat Survey” that illustrates the importance of managing internal threats to win
Coping with Security Data Overload in Today’s Connected World
The way we generate information about ourselves today — increasingly through social media, computer networks and connected devices — has forced security professionals to re-evaluate how they capture data, analyze
Gartner: Cybersecurity Needs to Become More Continuous, Adaptable and Risk-Based
The explosive growth of cloud-based services and mobile devices in the workplace has rendered conventional approaches to cybersecurity risk management virtually obsolete, requiring a more adaptive and continuous strategy towards
McClatchy Quotes Haystax CEO on Finding Rogue Insiders
Not too long ago, external espionage was viewed as the biggest threat to national intelligence agencies. But McClatchy national security correspondent Tim Johnson reports on a trend of rogue insiders
Why We Need More Shades of Gray in Security
Few things in life can be expressed in black and white terms. Sure, a light switch is either on or it’s off; one baseball team wins the World Series each
Network Data is Not Enough
Can organizations identify insider threats or high-risk individuals using network data alone? Consider that many security software solutions today are optimized to perform network log monitoring and aggregation. They excel
Haystax Technology CTO Cited in CSO Article on ‘Security Alert Fatigue’
It’s not uncommon for large enterprises to receive thousands of security alerts each month, thanks to analytics software configured to identify anomalies that may indicate a potential threat. However, an
