Kraken A.I CyberSecurity Scoring
Kraken
Company Information
Website:https://kraken.tech
Employees number:2,064
Number of followers:143,695
NAICS:513
Industry Type:Technology, Information and Internet
Homepage:kraken.tech
Kraken Risk Score (AI oriented)
Between 700 and 749
KrakenTechnology, Information and Internet
Updated:
02/09/2026
02/09/2026
733/1000
Moderate
Ba
Kraken Global Score (TPRM)
xxxx
KrakenTechnology, Information and Internet
Score locked

KrakenModerate
Current Score
733Ba (MODERATE)
01000
1 incidents
0 avg impact
Incident timeline with MITRE ATT&CK tactics, techniques, and mitigations.
SEPTEMBER 2026
733
AUGUST 2026
733
JULY 2026
732
JUNE 2026
731
MAY 2026
730
APRIL 2026
728
MARCH 2026
727
FEBRUARY 2026
726
JANUARY 2026
725
DECEMBER 2025
724
NOVEMBER 2025
723
OCTOBER 2025
721
APRIL 2025
779
Cyber Attack
28 Apr 2025 • Kraken
ERCOT and KrakenFlex: A battery storage cyberattack would look exactly like a badly tuned controller
Grid-Battery Cyberattacks Could Trigger Mass Blackouts with Minimal Compromise
713
CRITICAL-66
ERCKRA1788345016
Cybersecurity Threat: Grid-Battery Attacks Could Trigger Mass Blackouts with Minimal Compromise
A new analysis by London-based firm Centrii warns that cyberattacks on grid-connected battery storage systems could destabilize power networks, leading to widespread blackouts with far fewer compromised units than previously estimated. The research highlights vulnerabilities in ERCOT (Texas) and Great Britain’s grids, where coordinated manipulation of battery fleets could trigger automatic demand disconnections, cutting power to millions.
### Key Findings
- Attack Scale: In Texas, controlling just 1,500 battery units (5.4% of ERCOT’s fleet) could cause $12–65 billion in damages, affecting 30 million people. In Great Britain, 400 units (29% of the fleet) could trigger a national blackout, impacting 67 million at a cost of £2–10 billion.
- Lower Thresholds: Earlier research suggested 11–21 compromised 2MW units could destabilize a regional grid, far fewer than the 1,500 cited for Texas. The discrepancy stems from differences between regional test networks and full interconnections.
- Attack Method: Batteries respond to grid frequency fluctuations, making malicious activity hard to detect. A reverse governor effect where power output amplifies disturbances instead of stabilizing them could be the only telltale sign.
- Cloud-Based Exploits: Third-party optimizers (e.g., KrakenFlex) manage hundreds of megawatts via cloud platforms, meaning a single compromised login could control vast capacity. Success rates for breaching such systems are estimated at 35–70% over 2–5 weeks with intermediate hacking skills.
- Probability of Attack: Monte Carlo simulations project a 92.1% chance of a major attack affecting 1 million+ people by 2031, dropping to 61.4% if operators adopt IEC 62443 security standards and conduct quarterly drills.
### Detection Challenges
- Stealthy Execution: Malicious battery swings appear identical to legitimate frequency responses, making attacks nearly invisible until demand is automatically shed.
- Forensic Gaps: Critical data such as command logs and operational technology (OT) records resides with private optimizers and manufacturers, not grid operators. In Spain’s 2025 blackout, investigators took 11 months to rule out cyberattacks due to missing data from key power plants.
- Attribution Difficulties: Without OT forensics, confirming an attack could take hours to days or never, as the damage occurs before intent is identified.
### Grid Resilience Limits
- Great Britain’s grid is designed to withstand a 1.32GW sudden loss, but coordinated battery swings exceeding 1.8GW could trigger automatic low-frequency demand disconnection (LFDD), cutting power indiscriminately.
- ERCOT’s higher frequency (60Hz) and isolated grid provide a larger buffer, but the risk remains significant due to its massive storage fleet (28GW across 28,000 units).
The findings underscore the growing threat of cyber-physical attacks on energy infrastructure, where even small-scale compromises could have catastrophic, system-wide consequences.
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